Data Engineering books

manning.com / catalog / Data Science / Data Engineering
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Gianluigi Mucciolo , 2025
Maja Ferle
Foreword by Joe Reis
, 2024
Muneeb Shaikh , 2024
Ockert du Preez , 2024
Pablo Elgueta , 2024
Anuradha Kar , 2024
Martine Dowden , 2024
Rod Stephens , 2024
Gianluigi Mucciolo , 2024
Andrew Treadway , 2024
Gaurav Bhardwaj , 2023
Mark Ryan , 2021
(1)
Jacek Majchrzak, Sven Balnojan, and Marian Siwiak with Mariusz Sieraczkiewicz
Foreword by Jean-Georges Perrin
, 2022
Nicole Königstein , 2022
Kanishka Tyagi & Raghavendra Sriram , 2022
Delio D'Anna , 2022
Sven Balnojan , 2022
Sven Balnojan , 2022
Sven Balnojan , 2022
(2)
Ville Tuulos
Foreword by Travis Oliphant
, 2022
Ruihao Qiu , 2022
Mateusz Sadowski , 2022
Mateusz Sadowski , 2022
Josh Fischer and Ning Wang , 2022
Mahdi Karabiben , 2022
Jiahao Weng , 2022
Emre Rencberoglu , 2021
Olesya Bondarenko , 2021
(7)
Bas P. Harenslak and Julian Rutger de Ruiter , 2021
Orsolya Putz and Zoltan Varju , 2021
Frank Kane , 2019
(2)
Kim Falk , 2019
Davy Cielen, Arno D. B. Meysman, and Mohamed Ali , 2016
(2)
Robert I. Kabacoff , 2015
David Wood, Marsha Zaidman, Luke Ruth, and Michael Hausenblas
Foreword by Tim Berners-Lee
, 2013
1 2
Discover the essential world of Data Engineering, where raw data transforms into valuable insights. Our comprehensive collection covers everything from building robust data pipelines and implementing ETL processes to managing distributed systems and cloud-based data architectures. Learn to harness modern tools and technologies for data storage, processing, and analytics, including cloud platforms, streaming systems, and machine learning infrastructure. Master critical skills in database management, data modeling, API development, and scalable system design. Whether you're architecting data lakes, implementing data mesh architectures, or developing automated workflows, you'll find resources to help you build efficient, production-ready data solutions that drive business value. For a more detailed breakdown, take a look at the following categories: Data Management and Organization books Data Science Infrastructure books Data Science with Python books Data Visualization books Recommender Systems books Software Engineering in Data Science books