O’Reilly Media is an internationally recognized, multi-faceted media company that has played a seminal role in the Internet revolution. Through its books, events, online training courses, webcasts, and evangelism, O’Reilly has educated a generation of technologists and entrepreneurs and shaped the dialogue about the future direction of the industry. The company has played an enormous role in the evolution and adoption of the World Wide Web, open source software, big data, and the Maker movement.
Wydawnictwo O'Reilly Media
Tytuły książek(ebooki,audiobooki) wydawnictwa: O'Reilly Media
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Fundamentals of Data Engineering
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Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Making Data Visual. A Practical Guide to Using Visualization for Insight
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Deciphering Data Architectures
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Financial Data Engineering
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Data Quality Engineering in Financial Services
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The Discipline of Organizing: Core Concepts Edition
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The Discipline of Organizing: Professional Edition
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Implementing Data Mesh
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Data Pipelines Pocket Reference
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Data Curious
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Visualizing Streaming Data. Interactive Analysis Beyond Static Limits
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Deep Learning Cookbook. Practical Recipes to Get Started Quickly
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Communicating with Data
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Cloud Native. Using Containers, Functions, and Data to Build Next-Generation Applications
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AI-Powered Business Intelligence
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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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Innovative Tableau. 100 More Tips, Tutorials, and Strategies
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Practical Synthetic Data Generation. Balancing Privacy and the Broad Availability of Data
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Analytical Skills for AI and Data Science. Building Skills for an AI-Driven Enterprise
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Tableau Prep: Up & Running
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Semantic Modeling for Data
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The Self-Service Data Roadmap
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QuickBooks 2005: The Missing Manual. The Missing Manual
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Ethics of Big Data. Balancing Risk and Innovation
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Data Science for Business. What You Need to Know about Data Mining and Data-Analytic Thinking
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The New Relational Database Dictionary. Terms, Concepts, and Examples
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Anonymizing Health Data. Case Studies and Methods to Get You Started
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Beautiful Visualization. Looking at Data through the Eyes of Experts
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Programming Elastic MapReduce. Using AWS Services to Build an End-to-End Application
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HBase: The Definitive Guide. Random Access to Your Planet-Size Data
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The Data Journalism Handbook
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Web Mapping Illustrated. Using Open Source GIS Toolkits
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Scaling MongoDB. Sharding, Cluster Setup, and Administration
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Practical Machine Learning: A New Look at Anomaly Detection
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Data Source Handbook. A Guide to Public Data
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Building an Event-Driven Data Mesh
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Data Management at Scale. 2nd Edition
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Streaming Data Mesh
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Embedded Analytics
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Predictive Analytics for the Modern Enterprise
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Augmented Analytics
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Practical Lakehouse Architecture
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Hands-On Prescriptive Analytics
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Learning Data Science
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Amazon Redshift: The Definitive Guide
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Data Science: The Hard Parts
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Automating Data Quality Monitoring
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Cost-Effective Data Pipelines
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Fundamentals of Data Observability
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Hands-On Data Visualization
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97 Things Every Data Engineer Should Know
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Tableau Strategies
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Tableau Desktop Cookbook
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Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition
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Deep Learning. A Practitioner's Approach
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Learning TensorFlow. A Guide to Building Deep Learning Systems
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Network Security Through Data Analysis. From Data to Action. 2nd Edition
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Machine Learning and Security. Protecting Systems with Data and Algorithms
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Spark: The Definitive Guide. Big Data Processing Made Simple
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Introduction to Machine Learning with R. Rigorous Mathematical Analysis
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Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
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Practical Tableau. 100 Tips, Tutorials, and Strategies from a Tableau Zen Master
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Data Quality Fundamentals
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Learning Microsoft Power BI
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The Enterprise Data Catalog
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Getting Started with Kudu. Perform Fast Analytics on Fast Data
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R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition
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R Cookbook. Proven Recipes for Data Analysis, Statistics, and Graphics. 2nd Edition
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Data Analytics with Hadoop. An Introduction for Data Scientists
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Understanding Compression. Data Compression for Modern Developers
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Introduction to Machine Learning with Python. A Guide for Data Scientists
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Programming Pig. Dataflow Scripting with Hadoop. 2nd Edition
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Database in Depth. Relational Theory for Practitioners
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Efficient R Programming. A Practical Guide to Smarter Programming
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Using Flume. Flexible, Scalable, and Reliable Data Streaming
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Creating a Data-Driven Organization
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Data Jujitsu: The Art of Turning Data into Product
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Thinking with Data. How to Turn Information into Insights
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Getting Started with Storm
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Writing and Querying MapReduce Views in CouchDB
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XSLT. 2nd Edition
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How Data Science Is Transforming Health Care
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What Is Data Science?
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Google Compute Engine
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Hands-On Programming with R. Write Your Own Functions and Simulations
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Big Data Now: 2012 Edition. 2nd Edition
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Data Mashups in R. A Case Study in Real-World Data Analysis
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Think Stats. 2nd Edition
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XSLT Cookbook. 2nd Edition
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Big Data Now: Current Perspectives from O'Reilly Radar
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Business Models for the Data Economy
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Disruptive Possibilities: How Big Data Changes Everything
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Getting Started with GEO, CouchDB, and Node.js. New Open Source Tools for Location Data
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Graph Databases. New Opportunities for Connected Data. 2nd Edition
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Effective Computation in Physics
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Feedback Control for Computer Systems. Introducing Control Theory to Enterprise Programmers
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The Evolution of Data Products
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Scaling CouchDB. Replication, Clustering, and Administration
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Beautiful Data. The Stories Behind Elegant Data Solutions
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Big Data Glossary. A Guide to the New Generation of Data Tools
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Getting Started with Couchbase Server
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Doing Data Science. Straight Talk from the Frontline
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MapReduce Design Patterns. Building Effective Algorithms and Analytics for Hadoop and Other Systems
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View Updating and Relational Theory. Solving the View Update Problem
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On Being a Data Skeptic
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25 Recipes for Getting Started with R. Excerpts from the R Cookbook
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Real-World Hadoop
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ZooKeeper. Distributed Process Coordination
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Head First Data Analysis. A learner's guide to big numbers, statistics, and good decisions
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Data Algorithms with Spark
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Data Mesh
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Data Analysis with Open Source Tools. A Hands-On Guide for Programmers and Data Scientists
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Building Data Science Teams
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Real-Time Big Data Analytics: Emerging Architecture
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Planning for Big Data
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21 Recipes for Mining Twitter. Distilling Rich Information from Messy Data
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Developing with Couchbase Server. Building Scalable, Flexible Database-Based Applications
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Harnessing Hibernate
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Designing Data Visualizations. Representing Informational Relationships