(1)
Maja Ferle
Foreword by Joe Reis,2024
(2)
Jacek Majchrzak, Sven Balnojan, and Marian Siwiak with Mariusz Sieraczkiewicz
Foreword by Jean-Georges Perrin,2022
(2)
Ville Tuulos
Foreword by Travis Oliphant,2022
Josh Fischer and Ning Wang,2022
(8)
Bas P. Harenslak and Julian Rutger de Ruiter,2021
(4)
Dave Bechberger, Josh Perryman,2020
Davy Cielen, Arno D. B. Meysman, and Mohamed Ali,2016
(2)
Robert I. Kabacoff,2015
(2)
Grant S. Ingersoll, Thomas S. Morton, and Andrew L. Farris
Foreword by Liz Liddy,2012
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 booksData Science Infrastructure booksData Science with Python booksData Visualization booksRecommender Systems booksSoftware Engineering in Data Science books