Big Data books

Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Stefan Sprenger , 2025
(4)
William P. Bejeck Jr.
Foreword by Jun Rao
, 2024
Gianluigi Mucciolo , 2024
Tomaž Bratanič
Foreword by Michael Hunger
, 2024
Yuan Tang , 2023
Gaurav Bhardwaj , 2023
Delio D'Anna , 2022
(4)
Dzejla Medjedovic, Emin Tahirovic, and Ines Dedovic , 2022
(4)
Dylan Scott, Viktor Gamov, Dave Klein , 2022
Alexander Jung , 2021
(5)
Jean-Georges Perrin
Foreword by Rob Thomas
, 2020
(1)
Alexander Dean, Valentin Crettaz , 2019
Jason Kolter , 2019
(2)
Frank Kane , 2019
(1)
William P. Bejeck Jr.
Foreword by Neha Narkhede
, 2018
Andrew G. Psaltis , 2017
(1)
Petar Zečević and Marko Bonaći , 2016
(1)
Michael S. Malak and Robin East , 2016
(1)
Nathan Marz and James Warren , 2015
Sean T. Allen, Matthew Jankowski, and Peter Pathirana
Foreword by Andrew Montalenti
, 2015
Chuck Lam , 2010
1
Master the art of handling massive datasets with cutting-edge tools and frameworks for modern data engineering. From distributed computing and stream processing to graph analytics and machine learning at scale, discover comprehensive approaches to storing, processing, and deriving insights from big data. Learn essential technologies and architectural patterns for building robust data pipelines, implementing real-time analytics, and deploying scalable solutions in cloud environments. Whether you're working with batch processing or real-time streaming, these resources will help you architect efficient, reliable systems that transform raw data into actionable intelligence. For a more detailed breakdown, take a look at the following categories: Apache Spark books Big Data Processing books Graph Analysis books Stream Processing books Streaming Data Processing books