W dobie cyfrowej transformacji, Big Data stało się jednym z najważniejszych tematów w świecie informatyki i biznesu. W Helion rozumiemy potrzebę poszerzenia wiedzy na ten temat, dlatego oferujemy Ci szeroki wybór książek poświęconych tematyce Big Data. Nasze publikacje zapewniają solidne podstawy teoretyczne oraz praktyczne wskazówki, które są niezbędne do zrozumienia i wykorzystania potencjału “wielkich danych” w różnych dziedzinach.
Big Data
Książki, ebooki, audiobooki, kursy video z kategorii: Big Data dostępne w księgarni Helion
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„Microsoft SQL Server. Modelowanie i eksploracja danych ” to książka, z której analitycy, informatycy i biznesmeni dowiedzą się, jak tworzyć właściwe modele, odpowiednio przygotowywać dane i prawidłowo je eksplorować, a także jak należycie analizować i oceniać otrzymane wyniki przy użyciu narzędzi oferowanych przez oprogramowanie Micros
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Microsoft SQL Server. Modelowanie i eksploracja danych Microsoft SQL Server. Modelowanie i eksploracja danych
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Najczęstszym problemem podczas pracy z Excelem jest wydobycie tkwiącej w nim mocy obliczeniowej. Dlatego też umiejętność jego obsługi jest tak pożądana przez pracodawców i przynosi firmie wymierne korzyści. Z tym podręcznikiem zaczniesz bezbłędnie wykonywać obliczenia w arkuszach Excela, będziesz formatować komórki i gromadzić dane. Przestaniesz ba
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Nowość
This book will teach you how to streamline your workflow, execute statistical analysis, create powerful visualizations, and integrate R and Python into Excel for maximum efficiency to make informed business decisions faster than ever.- PDF + ePub pkt
Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization
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This book will help you delve into data governance on Google Cloud. Moreover, you’ll also cover the latest technological advancements in the domain and be able to build and deploy data pipelines confidently.- PDF + ePub pkt
Data Engineering with Google Cloud Platform. A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud - Second Edition Data Engineering with Google Cloud Platform. A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud - Second Edition
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This book offers actionable insights and expert guidance to help you unlock the power of generative AI. Explore its ethical applications, implementation strategies, and transformative potential for informed decision-making.- PDF + ePub pkt
Unleashing the Power of Data with Trusted AI. A guide for board members and executives Unleashing the Power of Data with Trusted AI. A guide for board members and executives
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This book will help you explore data mesh from theory to strategy, where you’ll implement this approach based on your analytics framework's maturity. You'll cover design, architecture, challenges, and common patterns for analytical workloads.- PDF + ePub pkt
Engineering Data Mesh in Azure Cloud. Implement data mesh using Microsoft Azure's Cloud Adoption Framework Engineering Data Mesh in Azure Cloud. Implement data mesh using Microsoft Azure's Cloud Adoption Framework
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Deep Learning for Time Series Cookbook covers several time series problems, and how to tackle them using deep learning in a set of coding recipes. These recipes will enable you to develop accurate forecasting models using the PyTorch ecosystem.- PDF + ePub pkt
Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
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Dancing with Qubits, Second Edition, is a quantum computing textbook that explains how quantum computing works in detail and discusses the implications it has for computer applications of the future.- PDF + ePub pkt
Dancing with Qubits. From qubits to algorithms, embark on the quantum computing journey shaping our future - Second Edition Dancing with Qubits. From qubits to algorithms, embark on the quantum computing journey shaping our future - Second Edition
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This book is a compilation of essential background knowledge, tools, techniques, and applied examples needed to implement data-centric ML. Learn how to apply a best-practice data-centric approach in your work with this informative guide.
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Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data
Jonas Christensen, Nakul Bajaj, Manmohan Gosada, Kirk D. Borne
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Unlock the benefits of Power BI’s data cleaning capabilities to simplify the process of preparing data for analysis with this guide to transforming your data using tools like DAX, PowerQuery, and M language to build compelling visualizations.
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Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights
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Master data stewardship with industry best practices for building an effective data governance framework to optimize your workforce, processes, and technology, and elevate your organization's data maturity.
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Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes
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Principles of Data Science provides an end-to-end framework for cultivating critical thinking about data, performing practical data science, building performant machine learning models, and mitigating bias in AI pipelines. Learn the fundamentals of computational math and stats while exploring modern machine learning and large pre-trained models.
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Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition
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Promocja
The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data--used to build products, power AI systems, and drive business decisions--is poor quality or just plain bad? This practical book shows you how to ensure that the data your organization relies on contains only high-quality record- ePub + Mobi pkt
(203,15 zł najniższa cena z 30 dni)
211.65 zł
249.00 zł(-15%) -
Elevate your data quality monitoring and successfully implement data observability practices in your teams in a scalable way with this practical guide to addressing data issues, fostering improved collaborating post-adoption of these techniques.
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Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
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Gain in-depth knowledge of the essential resources and tools required to extract valuable insights from blockchain data with this comprehensive guide empowering you to contribute to the evolution of the next-generation internet.
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Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
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Through Kaggle Notebooks, this book teaches beginners and experienced Kagglers data analysis and the ML pipeline. With seven steps covering several techniques and competition datasets, you'll be able to compete in Kaggle competitions successfully.
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Data Modeling with Microsoft Excel is a practical guide to unlocking the benefits of Microsoft Excel’s Data Model. The book simplifies the data modeling process to help you master effective ways to build relational data from multiple sources in Excel, create DAX and Cube calculations, and apply your learnings to build an interactive dashboar
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Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
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This book will help you master the art of predicting outcomes when datasets are imbalanced and where the most important class is under-represented. You’ll learn the skills you need to overcome challenges when dealing with imbalanced datasets for both traditional machine learning and deep learning models.
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Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques
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Data Exploration and Preparation with BigQuery is a comprehensive guide to working with data preparation tools and strategies using BigQuery as a modern data warehouse solution. Through hands-on exercises and projects, you’ll leverage your BigQuery proficiency to overcome common challenges faced by data analysts.
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Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights
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Learn key databricks features like AutoML and MLflow and deploy serverless models with ease with this comprehensive guide. The book helps you build a strong foundation and sets you up to adapt easily to future ML innovations.
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Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks
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Alteryx Designer Cookbook is a comprehensive guide with a collection of practical and easy-to-follow recipes for a wide range of topics in Alteryx Designer, including data cleansing, and data blending. It is designed to help you implement these techniques in your projects and gain insights from your data quickly and efficiently
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Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level
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PostgreSQL has become a widely adopted database engine thanks to its robust enterprise capabilities. This edition will not only help you get up and running with the latest changes in PostgreSQL but will also focus on its most important features; like transactions, security, replication, backup and restore, extensions and more.
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Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition
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Machine learning is rapidly transitioning to synthetic data solutions, yet comprehensive resources to understand its uses are scarce. Synthetic Data for Machine Learning is a pioneering, comprehensive book covering synthetic data generation approaches, case studies, best practices, hands-on examples, and above all, how to use it to solve your own
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Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide
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Modern Data Architectures with Python allows you to adopt a hands-on approach to learning the latest data tooling and techniques needed for architecting data solutions. The topics covered in this book, along with practical examples, will radically transform your data practice.
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Modern Data Architectures with Python. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python Modern Data Architectures with Python. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
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Practical Data Quality offers a comprehensive view of managing data quality in your organization – from the business case through to permanently embedding improvements you make in the organization. The authors use real-world examples throughout and provide re-usable templates to accelerate your initiatives.
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Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization
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Streamlit for Data Science takes you through the basics of data app development, prototyping machine learning models, and deploying Streamlit apps. It walks you through practical, actionable examples using project-based learning.
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Streamlit for Data Science. Create interactive data apps in Python - Second Edition Streamlit for Data Science. Create interactive data apps in Python - Second Edition
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Building ETL Pipelines in Python covers the process of creating robust and scalable ETL pipelines from scratch. The book explores all the tools and technologies available to create robust ETL pipelines along with real-world examples and practical implications.
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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This book is an essential guide for anyone seeking to transform raw, unstructured data into meaningful insights. It simplifies the complex process of data wrangling by leveraging SQL commands such as aggregate functions, subqueries, and window functions, and is suitable for professionals looking to master the art of data wrangling.
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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Data wrangling involves cleaning and organizing complex data sets for analysis. This book guides you in connecting to AWS services and using its data wrangling tools for effective data analytics, even when the data sources are multiple and organizing it might look challenging.
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Data Wrangling on AWS. Clean and organize complex data for analysis Data Wrangling on AWS. Clean and organize complex data for analysis
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This is a reference handbook that’ll enable enterprise data and AI architects to create best-in-class architectures for data engineering, data science, data warehousing, and data serving on Azure. This book also serves as a reference to help cloud architects to understand the operations required for building optimal architectures.
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Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure
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AI is a tool that demands a deeper understanding of where and how to use it. By becoming Citizens of Data Science, we can actively participate in where and how AI is used to improve the human condition. With the help of this guide, you’ll get to grips with the relevant AI and data concepts that will help you make the most of the AI revolutio
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AI & Data Literacy. Empowering Citizens of Data Science AI & Data Literacy. Empowering Citizens of Data Science
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Graph Data Modeling with Python is your guide to building real-world use cases of how to prepare graph data for modeling, converting tabular to graph data structures, and working through simple graph use cases using degree centrality. Using the Python packages igraph and NetworkX, you’ll build your skills in various types of graph analytics.
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Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
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This book shows you how dbt makes it easy to build professional data platforms using simple SQL. You’ll learn about the use of patterns, tests, and architecture in dbt to break the complexity of a data platform in its components, to let dbt handle the boilerplate code, and support automation and collaboration in your team with your git provi
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Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
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This comprehensive guide explores the benefits of using data contracts to improve data quality in modern data platforms. With a focus on accountability and governance, this book provides practical tips and best practices for implementing data contracts in your organization and building a true data-driven culture.
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Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
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This book teaches you how to manage and analyze your geospatial data using the cloud. You’ll discover how to ingest, manage, and analyze geospatial data from various sources using S3, DynamoDB, RDS, Redshift, and Athena, along with exploring powerful location-based services like geocoding, routing, and geofencing using Amazon Location Servic
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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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Natural language understanding can address a wide range of problems, from managing smart homes to chatbots to creative writing. Natural Language Understanding with Python covers the full range of techniques for understanding natural language, including the new large language models. With clear explanations and examples, this book will equip you to
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Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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Exploratory Data Analysis in Python is a practical resource that helps you to learn techniques, libraries, and steps for uncovering patterns and actionable insights embedded in tabular, time series, and textual data. This book gets you started with implementing the various EDA techniques for data analysis or ML projects using Python.
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Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
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The Data Ingestion with Python Cookbook presents a collection of practical recipes to help you get started with the process of data ingestion from various sources or data files. This book offers a range of code recipes and solutions for creating efficient data ingestion pipelines while addressing common issues related to it.
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Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process
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Modeling guides are often steeped in theory and formal language. The innovative approach taken in Data Modeling with Snowflake combines practical modeling concepts with Snowflake best practices and unique features, allowing you to create efficient designs that leverage the power of the Data Cloud.
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Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
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CompTIA Data+: DAO-001 Certification Guide walks you through every concept covered in the new CompTIA exam with simple, a step-by-step explanations. Complete with exam tips, practical exercises, mock exams, and exam objective mappings, this is the perfect study guide to help you obtain Data+ certification
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CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
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Product and service teams benefit tremendously by using unstructured data, and that's where Commerce.AI comes in, merging machine learning, product expertise, and big data to help businesses make accurate decisions using the world's largest unstructured data engine. This audiobook shows you how to use AI to gain insights like never before.
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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Agile development and quick time-to-market deployments are crucial for competitive markets and dynamic needs, and deploying artificial intelligence technologies in microservices architecture creates flexible and adaptive systems. This practical guide helps developers and architects to design and deploy intelligent microservices systems.
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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
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Data Wrangling with R covers the most modern ways to make data ready for exploration or modeling in detail. The book covers libraries from the tidyverse package, such as tidyr, dplyr, ggplot2, and lubridate to help you prepare your data for analysis. You’ll also explore data visualization and modeling to create better graphics and projects w
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Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries
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Learn Azure Synapse Data Explorer covers advanced analytics and data science scenarios with the use of free-text and semi-structured data from an application log and device telemetry. The book takes an end-to-end approach to work with data ingestion and data science experiments through dashboarding.
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Learn Azure Synapse Data Explorer. A guide to building real-time analytics solutions to unlock log and telemetry data Learn Azure Synapse Data Explorer. A guide to building real-time analytics solutions to unlock log and telemetry data
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Data Analytics using Splunk 9. x provides a detailed walk-through of the improvements introduced in Splunk 9 with the help of practical examples. It not only teaches you to create visualizations with Splunk 9. x but also takes you through the advanced features of clustering, administration, data modeling, federated search, and container management.
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Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale
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Monografia przedstawia szeroki zakres dziedzin, w których znajduje zastosowanie tomografia. W nowatorski sposób prezentuje ważne zagadnienia z zakresu rozwiązywania problemów odwrotnych w tomografii przemysłowej oraz prototypów, pomiarów i modeli układów złożonych. Rozważania i dogłębna analiza numeryczna z
Tomographic imaging in environmental, industrial and medical applications Tomographic imaging in environmental, industrial and medical applications
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Mastering the art of model serving is a crucial yet daunting task in the realm of machine learning. This comprehensive guide equips you with knowledge of various model serving techniques to seamlessly bring your machine learning models to fruition, while also highlighting the best practices in model deployment.
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Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
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Building Analytics Teams is your one-stop guide to transforming your firm into an analytically driven organization while efficiently and effectively managing executive expectations of the return on investment of the team and projects.
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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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Enter the world of self-service business intelligence and become the data hero in your organization, or build a promising new data career. In this second edition, you’ll learn how to cleanse data, build data models, and use the advanced analysis capabilities of Power BI to create business value by unlocking key insights contained in your dat
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Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition
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Cypher is a great language to express graph traversals, but it still requires a bit of change in the thinking process to write performant cypher queries. This book will help to get the best out of neo4j using cypher language and its capabilities.
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Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
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The Art of Data-Driven Business is a practical guide to understanding the intricacies of powering your business decisions with machine learning algorithms backed by the might of Python. The techniques you’ll learn in this book will enable you to make the best possible decisions based on a data-driven approach.
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The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
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Microsoft Power BI Quick Start Guide, Third Edition, gets you up to speed with Power BI quickly, enabling you to derive actionable insights from your data using the data visualization capabilities of Microsoft Power BI within a short span of time and help your business make better decisions.
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Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition
Devin Knight, Erin Ostrowsky, Mitchell Pearson, Bradley Schacht
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Modern Time Series Forecasting with Python is a timely book that goes beyond popular classical time series techniques such as ARIMA and exponential smoothing and embraces modern high-performant techniques like machine learning. You’ll discover tested tips and tricks to advance your skillset and make you industry-ready in time series forecast
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Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning
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Machine learning and Python offer unique opportunities to process text data. This book will equip you with the skills you need to undertake a role in the field. The content keeps the right balance between need-to-know theory and hands-on practice, grounding the discussion around different case studies.
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Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
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Python Feature Engineering Cookbook, Second Edition will give you the practice, tools, and techniques to streamline your feature engineering pipelines and simplify and improve the quality of your code. With more than 70 methods to transform or create variables, you will find solutions tailored to different datasets and machine learning models.
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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Neural Search, from Prototype to Production with Jina covers the important tools in deep learning–powered search infrastructure for building cross- and multi-modal search systems, including text, images, video, and audio, distributed on the cloud.
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Neural Search - From Prototype to Production with Jina. Build deep learning–powered search systems that you can deploy and manage with ease Neural Search - From Prototype to Production with Jina. Build deep learning–powered search systems that you can deploy and manage with ease
Bo Wang, Cristian Mitroi, Feng Wang, Shubham Saboo, Susana Guzmán
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This is a must-have book for developers and architects who want to understand the core skills that a Java professional should have to become a data architect in order to create effective architectures. You’ll be able to pick up industry best practices if you’re an aspiring Java data architect who wants to easily achieve their goal.
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Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java
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Serverless ETL and Analytics with AWS Glue acts a single resource, providing a holistic view of the various features of Glue, and teaches you how to use each one of them. This book helps you to understand the entire process of building data lakes using AWS Glue and other AWS services.
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Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
Vishal Pathak, Subramanya Vajiraya, Noritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur
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Data scientists spend 80% of their time cleaning and manipulating data and only 20% of their time analyzing it. Efforts put into cleaning data are crucial, since analyzing dirty data can lead to inaccurate decisions. This is a critically timed book that will help you identify, diagnose, and treat data cleaning problems in Python, with advanced ML t
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Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
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This book will give you a gradual introduction to quantum algorithms and quadratic models and explore the possibilities of future quantum advantages. With the help of illustrations and code examples, the book will walk you through different kinds of quantum computing devices, show you how to build QUBOs and quantum circuits, and help solve real-wor
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Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems
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This book is a practical guide for creating and executing data and ML pipelines using the open protocol Delta. Simplifying Data Engineering and Analytics with Delta focuses on helping you make the right architecture choices and providing a hands-on approach to implementation and associated methodologies that will have you up and running in no time.
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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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This book teaches you how to use MLflow to support deep learning life cycle development with step-by-step instructions. You’ll build NLP solutions from scratch and implement scalable deep learning pipelines from initial offline experimentation to production with coherent provenance tracking for code, data, models, and explainability.
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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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From planning a Power BI solution to building scalable Power BI datasets and rich, interactive reports and dashboards, this comprehensive book is an end-to-end guide to Power BI.
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Mastering Microsoft Power BI. Expert techniques to create interactive insights for effective data analytics and business intelligence - Second Edition Mastering Microsoft Power BI. Expert techniques to create interactive insights for effective data analytics and business intelligence - Second Edition
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This book is written for developers who want to start using feature stores. This is a comprehensive overview that will teach you how to store, transform, curate, and share features. With the help of practical examples, you’ll learn best practices for training, inference, and reusing features for other ML pipelines.
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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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Whether you’re a developer or a data scientist, working with large amounts of data can be a challenge. This book focuses on describing Apache Arrow’s format and data types and the benefits of using it to accelerate data manipulation. You’ll get to grips with topics such as Spark, Jupyter, Arrow Flight, and FlightSQL.
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In-Memory Analytics with Apache Arrow. Perform fast and efficient data analytics on both flat and hierarchical structured data In-Memory Analytics with Apache Arrow. Perform fast and efficient data analytics on both flat and hierarchical structured data
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Domo is a power-packed BI and custom app development cloud platform that empowers organizations of all sizes to perform effective analysis in minutes. With the help of this book, you’ll be able to intake data from any source, merge it with other relevant data, and publish an amazing visual story using Domo that will get you noticed.
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Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo
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This workshop will teach you how to tackle modern data problems and derive value from complex datasets using the pandas library. You will gain the knowledge and skills to process a variety of data types and kickstart your Python data science career.
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The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
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This book uses real-life datasets from Kaggle to explain basic statistics for machine learning for data segmentation, regression predictions, and forecasts. You’ll focus on variable dependency and autocorrelation to build, test, and use a linear regression prediction model and time series forecasts.
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Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code
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This book is a modern presentation of quantum chemical concepts and how it relates to quantum computing to solve problems, focusing on a basic understanding of matter and the building blocks of molecules. We take a deep dive into the postulates of quantum mechanics and highlight the mathematics involved to solve problems.
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Quantum Chemistry and Computing for the Curious. Illustrated with Python and Qiskit® code Quantum Chemistry and Computing for the Curious. Illustrated with Python and Qiskit® code
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This book will introduce you to the basics of PyTorch Lightning and how you can build deep learning models from scratch. You'll learn techniques for building a variety of model network architecture, debugging them, and tuning them by utilizing some of the advanced features of the PyTorch Lightning framework to research and invent new methods.
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Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
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This book will take you through the out-of-the-box AI features in Power BI, showing you how to create your own AI model and integrate it into Power BI. You’ll be able to quickly and easily enrich your data and gain better insights into patterns that can be found in your data by training your own AI model.
- PDF + ePub pkt
Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI
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The Tableau Workshop gets you up and running with data processing, analytics, and visualization using Tableau. With plenty of practical exercises and activities, you'll quickly learn the fundamentals of presenting data effectively and be well prepared to deliver business insights through visual analytics.
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The Tableau Workshop. A practical guide to the art of data visualization with Tableau The Tableau Workshop. A practical guide to the art of data visualization with Tableau
Sumit Gupta, Sylvester Pinto, Shweta Sankhe-Savale, JC Gillet, Kenneth Michael Cherven
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Start your quest in quantum computing the right way with an understanding of the math that undergirds it, or come back to the math you may have missed when you started learning quantum computing. This book covers linear algebra, complex numbers, and probability - just enough for you to master all the math needed for quantum computing.
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Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities
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Developers working with machine learning will be able to put their knowledge to work with this practical guide to Amazon SageMaker Studio. The book takes a hands-on approach to implementing real-world machine learning use cases that will have you up and running quickly.
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Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
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Packed with hands-on examples, this book will help you perform key tasks such as ingesting, transforming, and consuming data to build end-to-end data pipelines with GCP. By the end of this book, you'll be well-versed with various GCP tools that can boost your data engineering career in no time.
- PDF + ePub pkt
Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
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This book will take you through the Amazon EMR architecture, features, and common use cases or problem statements it solves. You’ll discover how to configure it in production with scaling, monitoring, and security best practices, while also understanding different implementations of batch, real-time streaming, and interactive analytics workl
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Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions
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Pachyderm enables you to create collaborative data science workflows and reproduce your experiments at scale. This book will help you leverage Pachyderm's data versioning and lineage features to build scalable end-to-end AI/ML pipelines and show you how to deploy Pachyderm in leading cloud platforms, use its SaaS offering PachHub, and much more.
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Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0 Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
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Developers working with large amounts of data on Azure, including App Insights and Log Analytics, will be able to put their knowledge to work with this practical guide. The book focuses on Azure Data Explorer, covering topics such as data ingestion from multiple sources and querying and generating reports to make data-driven decisions.
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Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
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This book is a comprehensive introduction to modern data architecture for analytics, focusing on implementing the Data Lakehouse architecture for large-scale analytics in a scalable, agile, and cost-effective manner. With the help of practical explanations, you’ll be able to apply the frameworks introduced in this book within your organizati
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Data Lakehouse in Action. Architecting a modern and scalable data analytics platform Data Lakehouse in Action. Architecting a modern and scalable data analytics platform
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The DP-203: Azure Data Engineer Associate Certification Guide offers complete coverage of the DP-203 certification requirements so that you can take the exam with confidence. Going beyond the requirements for the exam, this book also provides you with additional knowledge to enable you to succeed in your real-life Azure data engineering projects.
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Azure Data Engineer Associate Certification Guide. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam Azure Data Engineer Associate Certification Guide. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam
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This book will help analysts get the most out of Microsoft Business Intelligence tools with DAX. With expert-led examples and approachable theoretical explanations, you'll deepen your understanding of DAX and achieve good business modeling design.
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Extreme DAX. Take your Power BI and Microsoft data analytics skills to the next level Extreme DAX. Take your Power BI and Microsoft data analytics skills to the next level
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This book will help you on your journey toward architecting and building data engineering pipelines on AWS. You'll learn about (and get hands-on with) AWS services for ingesting, transforming, and consuming data. Whether you're new to data engineering or just new to data engineering on AWS, this book will be an invaluable guide.
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Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS
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The book takes a hands-on approach to speeding up your Spark jobs and data processing by covering the implementation and associated methodologies that will have you up and running in no time. Developers working with Databricks and Spark will be able to put their knowledge to work with this practical guide to optimizing workloads.
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Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
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This book will help you to work with data ingestion and data transformation extensions, and bypass Power BI's shortcomings in data augmentation and data visualization using Python and R programming. You’ll understand insights and create interactive custom visuals using analytical languages with the help of hands-on examples.
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Extending Power BI with Python and R. Ingest, transform, enrich, and visualize data using the power of analytical languages Extending Power BI with Python and R. Ingest, transform, enrich, and visualize data using the power of analytical languages
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Essential PySpark for Scalable Data Analytics is an introduction for anyone new to the distributed computing model. You'll learn to unlock the analytics world by building end-to-end data processing pipelines, starting with data ingestion, cleansing, and integration, through to data visualization and building and operationalizing predictive models.
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Essential PySpark for Scalable Data Analytics. A beginner's guide to harnessing the power and ease of PySpark 3 Essential PySpark for Scalable Data Analytics. A beginner's guide to harnessing the power and ease of PySpark 3
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Dataverse for Teams is a revolutionary platform that brings the low-code revolution to Teams with the power of CDN. The book will help you to build no-code apps for multiple platforms, such as iOS, Android, and the web, without the complexities of computer programming, and develop impressive problem-solving skills to add to your resume.
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Digital Transformation with Dataverse for Teams. Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform Digital Transformation with Dataverse for Teams. Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform
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Discover the roadblocks you may face in data engineering and keep up with the latest trends such as Delta Lake. This book will help you learn how to build data pipelines that can auto-adjust to changes. Using practical examples, you will implement a solid data engineering platform that will streamline data science, ML, and AI tasks.
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
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Power Query provides an easy-to-use GUI that allows you to achieve powerful data transformations within the M programming language. This book will show you how easy it is to learn the M language and its many AI-powered functions for auto-generating M code. It will also prepare you to use complex M functions.
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Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
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This book takes you through the concepts of the FastAPI framework, including its powerful dependency injection system. You’ll learn how to build tested and reliable data science apps in Python using FastAPI, train machine learning models, and deploy them to the web.
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Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python
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Power BI is a business intelligence and analytics services tool by Microsoft designed to provide visual and interactive insights into data. This book will provide thorough, technical examples of using all primary Power BI tools and features as well as demonstrate high impact end-to-end solutions that leverage and integrate these technologies and se
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Microsoft Power BI Cookbook. Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases - Second Edition Microsoft Power BI Cookbook. Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases - Second Edition
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Data Processing with Optimus helps you learn how to load, clean, and transform data easily with Optimus. This book is a step-by-step guide for preparing data to perform key data science tasks such as machine learning, analytics, feature engineering, and reporting to help you to build end-to-end real-world applications with ease.
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Data Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark Data Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
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This book takes away the fear of working with, analyzing, and visualizing data. Understand the key concepts involved with data analytics while working with real-world business examples. You are introduced to two fantastic tools to cleanse and analyze data (KNIME) and visualize your insights (Microsoft Power BI), but the principles from this book ca
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Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
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Getting Started with Streamlit for Data Science takes you from the basics of web app development in the Streamlit library and machine learning model deployment in Heroku and AWS. The book shows you how you can use Streamlit for a variety of projects to improve job applications and resumes and much more.
- PDF + ePub + Mobi pkt
Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
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Power Virtual Agents allow non-developers to create solutions to automate customer interactions, relieving the pressure on front-line staff who would otherwise need to provide support for basic information. This book takes you through various business scenarios to show you how to leverage the capability of PVAs to create effective bots.
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Empowering Organizations with Power Virtual Agents. A practical guide to building intelligent chatbots with Microsoft Power Platform Empowering Organizations with Power Virtual Agents. A practical guide to building intelligent chatbots with Microsoft Power Platform
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Software Architecture Patterns for Serverless Systems is a comprehensive reference guide to designing architecture and implementing proven practices for delivering business value in a dynamic environment. As you progress, you’ll cover concepts that influence the architectural decisions behind design patterns.
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Software Architecture Patterns for Serverless Systems. Architecting for innovation with events, autonomous services, and micro frontends Software Architecture Patterns for Serverless Systems. Architecting for innovation with events, autonomous services, and micro frontends
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Salesforce helps to manage data effectively and securely while ensuring your Salesforce instance remains scalable. Whether it's a green field or a mature Salesforce org, this book will take you through helpful best practices and techniques to progress in your Salesforce career and avoid mistakes that can negatively impact your instance.
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Salesforce Data Architecture and Management. A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively Salesforce Data Architecture and Management. A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively
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The Amazon Redshift Cookbook helps you get to grips with architecting Redshift and performing database administration tasks. You'll learn techniques for building pipelines, loading data optimally, and deriving insights from this data, along with understanding how to optimize performance and costs associated with data warehouses, and build ingestion
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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
Shruti Worlikar, Thiyagarajan Arumugam, Harshida Patel, Eugene Kawamoto
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Using machine learning-based NLP models, you can speed up business processes, make more accurate predictions, and uncover new insights from your existing data, where spaCy, an advanced industrial-grade natural language processing library, can help. With this book, you'll learn how to use it and create high-impact ML solutions for NLP.
- PDF + ePub + Mobi pkt
Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
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This book helps you understand the basic concepts and techniques of using Azure Synapse step-by-step. You'll gradually gain the skills you need to work with data and develop analytics solutions using the Azure analytics platform even with no prior knowledge of Azure.
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Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML
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This book shows you how to effectively use Power BI, covering everything from Fact tables and Dimension tables to different data modeling techniques. With the help of real-world scenarios, you'll be able to identify when, why, and how to prepare data to support an efficient Star Schema to satisfy business requirements.
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Expert Data Modeling with Power BI. Get the best out of Power BI by building optimized data models for reporting and business needs Expert Data Modeling with Power BI. Get the best out of Power BI by building optimized data models for reporting and business needs
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A comprehensive resource to mastering your Tableau skills and becoming a BI expert. This guide will teach you how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.
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Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
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AutoKeras is a very simple and popular open source AutoML framework that provides easy access to deep learning models. This book will help you to explore the basics of automated machine learning using practical examples, enabling you to create and use your own models in your company or project.
- PDF + ePub + Mobi pkt
Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding
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If you are a developer looking to build machine learning models without spending months and years learning machine learning prerequisites, look no further than AutoML. This practical and concise guide will show you how to build automated models for regression and classification, both with traditional algorithms and neural networks.
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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Silq is a new high-level programming language to program quantum computers easily. Silq is set to revolutionize quantum programming just as the C programming language did for classical computers. Quantum Computing with Silq will prepare you for the quantum revolution and enable you to start building software and application programs for quantum com
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Quantum Computing with Silq Programming. Get up and running with quantum computing with the simplicity of this new high-level programming language Quantum Computing with Silq Programming. Get up and running with quantum computing with the simplicity of this new high-level programming language
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This book focuses on key Python analytics and algorithmic trading libraries used for backtesting. With the help of practical examples, you will learn the principle aspects of trading strategy development. The 14 profitable strategies included in the book will also help you build intuitions that will enable you to create your own strategy.
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Hands-On Financial Trading with Python. A practical guide to using Zipline and other Python libraries for backtesting trading strategies Hands-On Financial Trading with Python. A practical guide to using Zipline and other Python libraries for backtesting trading strategies
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Knowing how to work with data to extract insights generates significant value. This book will help you to develop data analysis skills using a hands-on approach and real-world data. You’ll get up to speed with pandas 1.x in no time and build some software engineering skills in the process, vastly expanding your data science toolbox.
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Hands-On Data Analysis with Pandas. A Python data science handbook for data collection, wrangling, analysis, and visualization - Second Edition Hands-On Data Analysis with Pandas. A Python data science handbook for data collection, wrangling, analysis, and visualization - Second Edition
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Data in its raw state is rarely ready for productive analysis. This book not only teaches you data preparation, but also what questions you should ask of your data. It focuses on the thought processes necessary for successful data cleaning as much as on concise and precise code examples that express these thoughts.
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Cleaning Data for Effective Data Science. Doing the other 80% of the work with Python, R, and command-line tools Cleaning Data for Effective Data Science. Doing the other 80% of the work with Python, R, and command-line tools
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This book covers all aspects of VB that will help you to jump into real-world projects quickly and work independently. You'll work with various end-to-end examples to help you reduce your R&D time during VB projects, and learn about the drag-and-drop approach to enable you to build an app in a day.
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Effortless App Development with Oracle Visual Builder. Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach Effortless App Development with Oracle Visual Builder. Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach
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Discover the flexibility of the PyTorch library for implementing new algorithms in a scalable and efficient way with this expert guide. This book will show you how to process data with deep learning methodologies using PyTorch 1.x and cover advanced topics such as GANs, Deep RL, and NLP using advanced deep learning techniques.
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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
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Managing Microsoft Teams: MS-700 Exam Guide offers complete, up-to-date coverage of the exam course content to help you pass with confidence. With this book, you will learn the steps of how to plan for a Microsoft Teams deployment within a business environment and manage Teams administrative functions on a day-to-day basis.
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Managing Microsoft Teams: MS-700 Exam Guide. Configure and manage Microsoft Teams workloads and achieve Microsoft 365 certification with ease Managing Microsoft Teams: MS-700 Exam Guide. Configure and manage Microsoft Teams workloads and achieve Microsoft 365 certification with ease
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Threat hunting is the act of proactively tracking and eliminating adversaries from your network as early as possible. Practical Threat Intelligence and Data-Driven Threat Hunting covers both threat intelligence and the act of threat hunting from the first steps to advanced practices.
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Practical Threat Intelligence and Data-Driven Threat Hunting. A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools Practical Threat Intelligence and Data-Driven Threat Hunting. A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools
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Promocja
Data Science szturmem zdobyło nowe obszary wszystko jest większe, szybsze i lepsze. Większe możliwości obliczeniowe wprowadziły uczenie maszynowe i głębokie uczenie maszynowe na rynek. Tworzenie sztucznych sieci neuronowe jest znacznie prostsze. Sztuczna inteligencja zrewolucjonizowała wiele branż. Rozwój technologii byłby niemożliwy bez Data Scie- ePub + Mobi pkt
(67,20 zł najniższa cena z 30 dni)
67.20 zł
84.00 zł(-20%) -
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Nabierz prędkości dzięki przełomowym zmianom w SQL Server 2019. Nie jest to już jedynie silnik bazodanowy, ale nowatorskie narzędzie wyposażone we wsparcie dla uczenia maszynowego, analiz Big Data, możliwość działania w systemie Linux, kontenery, Kubernetes, Javę czy wirtualizację danych w Azure. Ta książka nie zajmuje się tradycyjną administracjąOdsłaniamy SQL Server 2019: Klastry Big Data i uczenie maszynowe Odsłaniamy SQL Server 2019: Klastry Big Data i uczenie maszynowe
(88,83 zł najniższa cena z 30 dni)
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The book shows you how to view data from multiple perspectives, including data frame and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations. You will learn to manipulate data and get them down to a form that can be useful for making the right decisions.
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Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights
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This book is a comprehensive introduction for those who are new to scalable and optimized TensorFlow for production. You will learn how to deliver enterprise-grade support for your existing and newly built AI applications. You will address the various needs of AI-enabled organizations to manage and scale machine learning workloads in production.
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Learn TensorFlow Enterprise. Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise Learn TensorFlow Enterprise. Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise
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Workplace is Moodle's latest offering for organizations. This book is a comprehensive introduction to Moodle's new LMS. Complete with detailed descriptions, various diagrams, and real-work examples, this easy-to-follow guide will teach you everything you need to know when being responsible for a Moodle Workplace system.
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Corporate Learning with Moodle Workplace. Explore concepts, implementation, and strategies for adopting Moodle Workplace in your organization Corporate Learning with Moodle Workplace. Explore concepts, implementation, and strategies for adopting Moodle Workplace in your organization
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Starting with an easy introduction to KNIME Analytics Platform, this book will take you through the key features of the platform and cover the advanced and latest deep learning concepts in neural networks. In each chapter, you’ll solve real-world case studies based on deep learning networks to spark your creativity for new projects.
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Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
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Promocja
Książka pozwala opanować techniki modelowania i analizy danych, umożliwiające przekształcanie danych w końcowe wnioski. Od ponad 10 lat Wayne Winston uczy klientów korporacyjnych i studentów MBA najbardziej efektywnych sposobów wykorzystywania programu Excel do pomocy w rozwiązywaniu problemów biznesowych i podejmowaniuMicrosoft Excel 2010 Analiza i modelowanie danych biznesowych Microsoft Excel 2010 Analiza i modelowanie danych biznesowych
(83,16 zł najniższa cena z 30 dni)
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This book covers the fundamentals of how to provide context to your marketing data and derive data-driven insights using Python. It equips you with the tools and techniques you need to use on specific datasets to answer marketing questions.- PDF + ePub pkt
Data Analytics for Marketing. A practical guide to analyzing marketing data using Python Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
(92,88 zł najniższa cena z 30 dni)
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Unlock the power of Azure data engineering with this certification guide, elevating your skills in data processing, storage, and security with the help of practical insights, hands-on exercises, and the latest advancements.- PDF + ePub pkt
Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition
(121,68 zł najniższa cena z 30 dni)
Poznaj techniki przetwarzania i analizy danych z książkami o Big Data dostępnymi w księgarni Helion
Nasza kategoria książek o Big Data oferuje bogaty zbiór publikacji, które wprowadzają w świat przetwarzania i analizy ogromnych zbiorów danych. Wśród nich znajdują się pozycje takie jak "Big Data. Najlepsze praktyki budowy skalowalnych systemów obsługi danych w czasie rzeczywistym" oraz "Hadoop. Kompletny przewodnik. Analiza i przechowywanie danych", które są doskonałym wyborem dla osób chcących praktycznie podejść do tematu Big Data. Nasz asortyment obejmuje również zaawansowane publikacje, które umożliwiają pogłębienie wiedzy i rozwijanie umiejętności w zakresie zaawansowanej analizy danych.
Dodatkowo, oferujemy książki skoncentrowane na konkretnych narzędziach i technologiach związanych z Big Data. Wśród nich wyróżniają się tytuły poświęcone Apache Spark i zastosowaniom uczenia maszynowego w przetwarzaniu dużych zbiorów danych. Są to idealne pozycje dla tych, którzy chcą specjalizować się w konkretnych technikach i narzędziach Big Data.
Książki o Big Data - twoje źródło wiedzy o “wielkich danych”
W Helion dbamy o to, aby nasze książki były nie tylko bogatym źródłem wiedzy teoretycznej, ale także praktycznym przewodnikiem, który umożliwia zastosowanie tej wiedzy w realnych warunkach pracy. Dlatego też nasze publikacje zawierają liczne przykłady, studia przypadków oraz praktyczne wskazówki, które pomogą Ci z sukcesem zrealizować projekty związane z Big Data.
Zapraszamy do zapoznania się z naszą ofertą książek o Big Data. W Helion znajdziesz literaturę, która pozwoli Ci nie tylko zrozumieć, ale także efektywnie wykorzystać potencjał “wielkich danych” w Twojej pracy zawodowej. Niezależnie od tego, czy jesteś studentem, początkującym analitykiem czy doświadczonym specjalistą IT, nasze książki mogą stanowić cenne źródło wiedzy i inspiracji. Odkryj razem z nami fascynujący świat Big Data!