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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Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes
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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
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Automating Data Quality Monitoring
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Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
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Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
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The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
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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. A practical guide to cleaning, transforming, and analyzing data for business insights
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Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks
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Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level
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Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition
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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. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
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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. Create interactive data apps in Python - Second Edition
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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Data Wrangling on AWS. Clean and organize complex data for analysis
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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
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AI & Data Literacy. Empowering Citizens of Data Science
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Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
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Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
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Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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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
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Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
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Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process
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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. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
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Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries
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Learn Azure Synapse Data Explorer. A guide to building real-time analytics solutions to unlock log and telemetry data
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The Enterprise Data Catalog
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Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale
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Tomographic imaging in environmental, industrial and medical applications
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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
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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition
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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. 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. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition
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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 Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
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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. Build deep learning–powered search systems that you can deploy and manage with ease
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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. Your comprehensive reference guide to learning about AWS Glue and its features
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Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
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Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems
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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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Mastering Microsoft Power BI. Expert techniques to create interactive insights for effective data analytics and business intelligence - Second Edition
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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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In-Memory Analytics with Apache Arrow. Perform fast and efficient data analytics on both flat and hierarchical structured data
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Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo
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The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
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Excel 2021 i Microsoft 365. Przetwarzanie danych za pomocą tabel przestawnych
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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
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Quantum Chemistry and Computing for the Curious. Illustrated with Python and Qiskit® code
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Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
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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. A practical guide to the art of data visualization with Tableau
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Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities
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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
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Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
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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
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Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
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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
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Data Lakehouse in Action. Architecting a modern and scalable data analytics platform
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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
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Extreme DAX. Take your Power BI and Microsoft data analytics skills to the next level
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Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS
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Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
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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. A beginner's guide to harnessing the power and ease of PySpark 3
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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
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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
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Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
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Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python
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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
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Data Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
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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. Create and deploy Streamlit web applications from scratch in Python
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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. Architecting for innovation with events, autonomous services, and micro frontends
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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
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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
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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
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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
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Mastering Tableau 2021. Implement advanced business intelligence techniques and analytics with Tableau - Third Edition
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Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
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Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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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
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Hands-On Financial Trading with Python. A practical guide to using Zipline and other Python libraries for backtesting trading strategies
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Hands-On Data Analysis with Pandas. A Python data science handbook for data collection, wrangling, analysis, and visualization - Second Edition
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Cleaning Data for Effective Data Science. Doing the other 80% of the work with Python, R, and command-line tools
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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
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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
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Managing Microsoft Teams: MS-700 Exam Guide. Configure and manage Microsoft Teams workloads and achieve Microsoft 365 certification with ease
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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
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Kluczowe kompetencje specjalisty danych
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Odsłaniamy SQL Server 2019: Klastry Big Data i uczenie maszynowe
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Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights
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Learn TensorFlow Enterprise. Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise
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Corporate Learning with Moodle Workplace. Explore concepts, implementation, and strategies for adopting Moodle Workplace in your organization
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Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
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Microsoft Excel 2010 Analiza i modelowanie danych biznesowych
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Microsoft SQL Server 2012 Analysis Services: Model tabelaryczny BISM
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Essential Statistics for Non-STEM Data Analysts. Get to grips with the statistics and math knowledge needed to enter the world of data science with Python
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Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition
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Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python
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The Self-Service Data Roadmap
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The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition
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Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques
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Tableau Prep: Up & Running
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!