Databases

Fully updated to Elixir 1.

Practical methods for analyzing your data with graphs, revealing hidden connections and new insights.

Master Java persistence using the industry-leading tools Spring Data and Hibernate.

Master core data analysis skills using Julia.

Build, maintain, and run databases that are easy to scale and quick to queryall with ScyllaDB.

Everything you need to implement stream processing on Apache Kafka using Kafka Streams and the kqsIDB event streaming database.

A gentle introduction to some of the most useful mathematical concepts that should be in your developer toolbox.

Every action in SQL Server - queries, updates, whatever - leaves a set of tiny footprints; SQL Server records all that valuable data and makes it visible through Dynamic Management Views, or DMVs.

This is not an ordinary SQL Server Book.

SummaryLinked Data presents the Linked Data model in plain, jargon-free language to Web developers.

SummaryGo in Action introduces the Go language, guiding you from inquisitive developer to Go guru.

SummaryNeo4j in Action is a comprehensive guide to Neo4j, aimed at application developers and software architects.

When Lucene first hit the scene five years ago, it was nothing short ofamazing.

SQL Server 2008 Administration isn't a standard SQL Server tutorial-thereare dozens of those to choose from.

Summary Humans learn best from feedbackwe are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences.

Probabilistic Deep Learning is a hands-on guide to the principles that support neural networks.

Summary Modern data science solutions need to be clean, easy to read, and scalable.

SummaryRedis in Action introduces Redis and walks you through examples that demonstrate how to use it effectively.

Summary Machine learning (ML) is a collection of programming techniques for discovering relationships in data.

Summary You are going to need more than technical knowledge to succeed as a data scientist.

Modern Fortran teaches you to develop fast, efficient parallel applications using twenty-first-century Fortran.

Revolutionize the way your organization approaches data with a data mesh!

Learn the technical and soft skills you need to succeed in your career as a data analyst.

Craft domain-specific languages that empower experts to create software themselves.

Lead your demand planning process to excellence and deliver real value to your supply chain.

A friendly illustrated guide to designing and implementing your first database.

Learn statistics by analyzing professional basketball data!

Practice makes perfect pandas!

R is the most powerful tool you can use for statistical analysis.

A field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples.

Eliminate the unavoidable complexity of object-oriented designs.

SummaryBuilding Ethereum Dapps introduces you to decentralized applications based on the Ethereum blockchain platform.

Massive modern datasets make traditional data structures and algorithms grind to a halt.

SummaryPhoenix is a modern web framework built for the Elixir programming language.

Master the wicked-fast Apache Kafka streaming platform through hands-on examples and real-world projects.

SummaryBeyond Spreadsheets with R shows you how to take raw data and transform it for use in computations, tables, graphs, and more.

SummaryIf you think Bitcoin is just an alternative currency for geeks, it's time to think again.

SummaryEvent Streams in Action is a foundational book introducing the ULP paradigm and presenting techniques to use it effectively in data-rich environments.

Build predictive models from time-based patterns in your data.

SummaryAlgorithms of the Intelligent Web, Second Edition teaches the most important approaches to algorithmic web data analysis, enabling you to create your own machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors and website logs.

SummaryMaking Sense of NoSQL clearly and concisely explains the concepts, features, benefits, potential, and limitations of NoSQL technologies.

If you work with SQL Server, dbatools is a lifesaver.

SummarySolr in Action is a comprehensive guide to implementing scalable search using Apache Solr.

SummaryStorm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams.

Running your systems in the cloud doesn't automatically make them secure.

PostGIS in Action, Third Edition shows you how to solve real-world geodata problems.

SummaryData Wrangling with JavaScript is hands-on guide that will teach you how to create a JavaScript-based data processing pipeline, handle common and exotic data, and master practical troubleshooting strategies.

SummaryBig Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data.

SummarySpark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark.

SummaryRelevant Search demystifies relevance work.