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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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
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Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems
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Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
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Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions
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IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions
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Learning Alteryx. A beginner's guide to using Alteryx for self-service analytics and business intelligence
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Blender 3D Printing by Example. Learn to use Blender's modeling tools for 3D printing by creating 4 projects
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Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana
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Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data
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R Programming By Example. Practical, hands-on projects to help you get started with R
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Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
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SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
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SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases
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TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
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Reactive Programming in Kotlin. Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring
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Learning PostgreSQL 10. A beginner’s guide to building high-performance PostgreSQL database solutions - Second Edition
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Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
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Microsoft Excel 2016 Analiza i modelowanie danych biznesowych
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ROS Robotics By Example. Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame - Second Edition
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Learning Apache Apex. Real-time streaming applications with Apex
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R Data Mining. Implement data mining techniques through practical use cases and real-world datasets
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R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making
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Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x
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Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
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R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data
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Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
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scikit-learn Cookbook. Over 80 recipes for machine learning in Python with scikit-learn - Second Edition
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Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics
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Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning
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MongoDB Administrator's Guide. Over 100 practical recipes to efficiently maintain and administer your MongoDB solution
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Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition
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Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python
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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
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Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
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Learning Neo4j 3.x. Effective data modeling, performance tuning and data visualization techniques in Neo4j - Second Edition
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Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
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MySQL 8 for Big Data. Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
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Modern R Programming Cookbook. Recipes to simplify your statistical applications
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Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python
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Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka
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Microsoft Power BI Cookbook. Over 100 recipes for creating powerful Business Intelligence solutions to aid effective decision-making
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Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition
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Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language
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Data Analysis with IBM SPSS Statistics. Implementing data modeling, descriptive statistics and ANOVA
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition
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R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition
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Java Data Analysis. Data mining, big data analysis, NoSQL, and data visualization
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Pentaho 8 Reporting for Java Developers. Create pixel-perfect analytical reports using reporting tools
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Network Security Through Data Analysis. From Data to Action. 2nd Edition
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Learning Spark SQL. Architect streaming analytics and machine learning solutions
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Raportowanie w System Center Configuration Manager Bez tajemnic
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Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition
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Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
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MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
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Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python
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Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization
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Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
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Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark
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Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis
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SQL Server on Linux. Configuring and administering your SQL Server solution on Linux
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Learning TensorFlow. A Guide to Building Deep Learning Systems
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R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
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Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing
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Deep Learning. A Practitioner's Approach
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Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
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Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition
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Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs
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Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
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Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning
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Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition
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Analytics for the Internet of Things (IoT). Intelligent analytics for your intelligent devices
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Microsoft HoloLens Developer's Guide. A Complete Guide to HoloLens Application Development
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Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
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Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
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Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing
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Java: Data Science Made Easy. Data collection, processing, analysis, and more
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Python for Finance. Apply powerful finance models and quantitative analysis with Python - Second Edition
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QlikView for Developers. Design and build scalable and maintainable BI solutions
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Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark
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Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more
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Learning pandas. High performance data manipulation and analysis using Python - Second Edition
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Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
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Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition
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Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics
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Python Machine Learning By Example. The easiest way to get into machine learning
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Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
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Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data
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Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition
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Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators
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Hadoop 2.x Administration Cookbook. Administer and maintain large Apache Hadoop clusters
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Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
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Mastering Android Game Development with Unity. Build high-end Android games with Unity's advanced features
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D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
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Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition
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Mastering Java for Data Science. Analytics and more for production-ready applications
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Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity
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Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
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Effective Amazon Machine Learning. Expert web services for machine learning on cloud
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Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
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Deep Learning with TensorFlow. Explore neural networks with Python
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Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition
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Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
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Python: Data Analytics and Visualization. Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python
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PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL
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Mastering Spark for Data Science. Lightning fast and scalable data science solutions
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Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more
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Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework
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Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
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Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
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Learning Microsoft Cognitive Services. Click here to enter text
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Mastering Blockchain. Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks
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Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
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Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition
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Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
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!