Databases books

Frank Kane , 2019
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Frank Kane , 2019
Regina O. Obe and Leo S. Hsu
Foreword by Paul Ramsey
, 2015
Jon P Smith , 2018
Itamar Syn-Hershko , 2018
Ben Brumm , 2017
Kyle Banker, Peter Bakkum, Shaun Verch, Douglas Garrett, and Tim Hawkins , 2016
Radu Gheorghe, Matthew Lee Hinman, and Roy Russo , 2015
Christian Bauer, Gavin King, and Gary Gregory , 2015
Aleksa Vukotic and Nicki Watt with Tareq Abedrabbo, Dominic Fox, and Jonas Partner
Foreword by Jim Webber and Ian Robinson
, 2014
Alex Holmes , 2014
Daniel G. McCreary and Ann M. Kelly
Foreword by Tony Shaw
, 2013
Josiah Carlson
Foreword by Salvatore Sanfilippo
, 2013
Arlen Feldman , 2002
Nicholas Dimiduk and Amandeep Khurana
Foreword by Michael Stack
, 2012
Alex Holmes , 2012
Emmanuel Bernard and John Griffin , 2008
Kyle Banker , 2011
Kalen Delaney, Louis Davidson, Greg Low, Brad McGehee, Paul Nielsen, Paul Randal, and Kimberly Tripp , 2011
Contributions from 53 SQL Server MVPs, Edited by Paul Nielsen, Kalen Delaney, Greg Low, Adam Machanic, Paul S. Randal, and Kimberly L. Tripp , 2009
Ian W. Stirk , 2011
Regina O. Obe and Leo S. Hsu
Foreword by Paul Ramsey
, 2011
Patrick Peak and Nick Heudecker , 2005
Christian Bauer and Gavin King , 2006
Pierre Henri Kuaté, Tobin Harris, Christian Bauer, and Gavin King , 2009
Rod Colledge , 2009
Bret Updegraff , 2006
Christian Bauer and Gavin King , 2004
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Master the world of databases with comprehensive resources covering everything from fundamental concepts to advanced implementations. Dive into relational database design, SQL mastery, and modern database platforms including PostgreSQL, MySQL, and emerging solutions. Learn essential skills in data persistence, ETL processes, and database optimization while exploring cloud integration, security best practices, and infrastructure management. Whether you're building responsive applications, implementing CRUD operations, or scaling distributed systems, discover practical techniques for efficient data storage, retrieval, and transformation. Get hands-on experience with modern technologies like vector databases, serverless architectures, and cutting-edge data engineering practices using AWS and other cloud platforms. For a more detailed breakdown, take a look at the following categories: Data Persistence Java Persistence Object-Relational Mapping SQL Data Processing and Analytics Distributed Data Processing and Analytics Elasticsearch Search Engines Database Platforms Document Databases Security and Infrastructure