Databases books

Denis Magda , 2025
Alex Merced , 2025
Arek Borucki , 2025
Jimmy Angelakos
Foreword by Gianni Ciolli
, 2025
(1)
Qiang Hao and Michail Tsikerdekis , 2025
Jeff Iannucci , 2025
(1)
Bo Ingram , 2024
(3)
Mark Needham, Michael Hunger, Michael Simons , 2024
(1)
Madhusudhan Konda
Foreword by Shay Banon
, 2023
Meta Brains , 2023
(1)
Cătălin Tudose
Forewords by Dmitry Aleksandrov and Mohamed Taman
, 2023
(1)
Alex Soto Bueno and Andrew Block , 2022
Trevoir Williams , 2022
Trevoir Williams , 2022
Trevoir Williams , 2022
(4)
Dzejla Medjedovic, Emin Tahirovic, and Ines Dedovic , 2022
(19)
Chrissy LeMaire, Rob Sewell, Jess Pomfret, Cláudio Silva
Foreword by Anna Hoffman
, 2022
(3)
Leo S. Hsu and Regina O. Obe , 2021
(3)
Vlad Riscutia , 2021
Mike Shakhomirov , 2021
(5)
Jon P Smith , 2021
(2)
Trey Grainger and Timothy Potter , 2014
(4)
Richard L. Nuckolls , 2020
Michael Kennedy , 2020
Frank Kane , 2019
(2)
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
1 2
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