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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Streaming Data Mesh
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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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Data Management at Scale. 2nd Edition
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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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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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Data Quality Engineering in Financial Services
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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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Learning Microsoft Power BI
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Data Quality Fundamentals
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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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AI-Powered Business Intelligence
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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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Data Mesh
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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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Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs
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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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Communicating with Data
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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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Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript
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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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Tableau Strategies
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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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97 Things Every Data Engineer Should Know
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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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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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Hands-On Data Visualization
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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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Tableau Desktop Cookbook
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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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Semantic Modeling for Data
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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
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The Applied TensorFlow and Keras Workshop. Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker
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The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition
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The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
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The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
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The Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
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The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch
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The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition
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Practical Data Analysis Using Jupyter Notebook. Learn how to speak the language of data by extracting useful and actionable insights using Python
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Analytical Skills for AI and Data Science. Building Skills for an AI-Driven Enterprise
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Practical Synthetic Data Generation. Balancing Privacy and the Broad Availability of Data
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Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
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Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
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Quantum Computing and Blockchain in Business. Exploring the applications, challenges, and collision of quantum computing and blockchain
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Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data
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The Practitioner's Guide to Graph Data. Applying Graph Thinking and Graph Technologies to Solve Complex Problems
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The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - Second Edition
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Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x
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!