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
-
D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript
-
Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem
-
R Programming Fundamentals. Deal with data using various modeling techniques
-
Blockchain for Enterprise. Build scalable blockchain applications with privacy, interoperability, and permissioned features
-
Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
-
Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
-
Ethereum Cookbook. Over 100 recipes covering Ethereum-based tokens, games, wallets, smart contracts, protocols, and Dapps
-
Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards
-
Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras
-
Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications
-
Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
-
Machine Learning Algorithms. Popular algorithms for data science and machine learning - Second Edition
-
Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
-
Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
-
Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python
-
Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
-
Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras
-
Hands-On Intelligent Agents with OpenAI Gym. Your guide to developing AI agents using deep reinforcement learning
-
Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python
-
Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
-
Mastering Kibana 6.x. Visualize your Elastic Stack data with histograms, maps, charts, and graphs
-
Python Artificial Intelligence Projects for Beginners. Get up and running with Artificial Intelligence using 8 smart and exciting AI applications
-
Voice User Interface Projects. Build voice-enabled applications using Dialogflow for Google Home and Alexa Skills Kit for Amazon Echo
-
Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life
-
Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques
-
fastText Quick Start Guide. Get started with Facebook's library for text representation and classification
-
Ethereum Projects for Beginners. Build blockchain-based cryptocurrencies, smart contracts, and DApps
-
Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications
-
Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
-
Getting Started with Kudu. Perform Fast Analytics on Fast Data
-
Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing
-
Java Deep Learning Projects. Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
-
Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras
-
PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
-
Hands-On Cybersecurity with Blockchain. Implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain
-
Hands-On Reinforcement Learning with Python. Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
-
Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
-
Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts
-
Deep Reinforcement Learning Hands-On. Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
-
Hands-On Blockchain with Hyperledger. Building decentralized applications with Hyperledger Fabric and Composer
-
Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh
-
Deep Learning Cookbook. Practical Recipes to Get Started Quickly
-
Beginning Data Science with Python and Jupyter. Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
-
Visualizing Streaming Data. Interactive Analysis Beyond Static Limits
-
Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data
-
Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications
-
Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud
-
Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
-
Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services
-
SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models
-
Hands-on Machine Learning with JavaScript. Solve complex computational web problems using machine learning
-
Splunk Operational Intelligence Cookbook. Over 80 recipes for transforming your data into business-critical insights using Splunk - Third Edition
-
Mastering Machine Learning Algorithms. Expert techniques to implement popular machine learning algorithms and fine-tune your models
-
Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
-
Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
-
Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
-
PostgreSQL 10 High Performance. Expert techniques for query optimization, high availability, and efficient database maintenance - Third Edition
-
Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
-
Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
-
Microsoft Excel 2013. Analiza i modelowanie danych biznesowych
-
Cloud Analytics with Google Cloud Platform. An end-to-end guide to processing and analyzing big data using Google Cloud Platform
-
Practical Tableau. 100 Tips, Tutorials, and Strategies from a Tableau Zen Master
-
Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights
-
Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition
-
Mastering Microsoft Power BI. Expert techniques for effective data analytics and business intelligence
-
Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
-
TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
-
Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
-
Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
-
Mastering Qlik Sense. Expert techniques on self-service data analytics to create enterprise ready Business Intelligence solutions
-
TensorFlow: Powerful Predictive Analytics with TensorFlow. Predict valuable insights of your data with TensorFlow
-
Mapping with ArcGIS Pro. Design accurate and user-friendly maps to share the story of your data
-
Introduction to Machine Learning with R. Rigorous Mathematical Analysis
-
Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks
-
SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
-
Fixing Bad UX Designs. Master proven approaches, tools, and techniques to make your user experience great again
-
Ethereum Smart Contract Development. Build blockchain-based decentralized applications using solidity
-
Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
-
R Deep Learning Projects. Master the techniques to design and develop neural network models in R
-
Mastering Apache Solr 7.x. An expert guide to advancing, optimizing, and scaling your enterprise search
-
MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions
-
Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
-
Python Web Scraping Cookbook. Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS
-
Cloud Native Development Patterns and Best Practices. Practical architectural patterns for building modern, distributed cloud-native systems
-
Spark: The Definitive Guide. Big Data Processing Made Simple
-
Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
-
Scala Machine Learning Projects. Build real-world machine learning and deep learning projects with Scala
-
Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale
-
Mastering PostgreSQL 10. Expert techniques on PostgreSQL 10 development and administration
-
IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition
-
Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling
-
Machine Learning and Security. Protecting Systems with Data and Algorithms
-
MySQL 8 Cookbook. Over 150 recipes for high-performance database querying and administration
-
Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
-
Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems
-
Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
-
Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions
-
IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions
-
Learning Alteryx. A beginner's guide to using Alteryx for self-service analytics and business intelligence
-
Blender 3D Printing by Example. Learn to use Blender's modeling tools for 3D printing by creating 4 projects
-
Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana
-
Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data
-
R Programming By Example. Practical, hands-on projects to help you get started with R
-
Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
-
Making Data Visual. A Practical Guide to Using Visualization for Insight
-
SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
-
SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases
-
TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
-
Learning Pentaho Data Integration 8 CE. An end-to-end guide to exploring, transforming, and integrating your data across multiple sources - Third Edition
-
Reactive Programming in Kotlin. Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring
-
Learning PostgreSQL 10. A beginner’s guide to building high-performance PostgreSQL database solutions - Second Edition
-
Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
-
Microsoft Excel 2016 Analiza i modelowanie danych biznesowych
-
ROS Robotics By Example. Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame - Second Edition
-
Learning Apache Apex. Real-time streaming applications with Apex
-
R Data Mining. Implement data mining techniques through practical use cases and real-world datasets
-
Big Data Analytics with SAS. Get actionable insights from your Big Data using the power of SAS
-
R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making
-
Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x
-
Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
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!