Description
Data projects are an intrinsic part of an organizations technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more.
Author Bartosz Konieczny guides you through the process of building reliable end-to-end data engineering projects, from data ingestion to data observability, focusing on data engineering design patterns that solve common business problems in a secure and storage-optimized manner. Each pattern includes a user-facing description of the problem, solutions, and consequences that place the pattern into the context of real-life scenarios.
Throughout this journey, youll use open source data tools and public cloud services to apply each pattern. Youll learn:
Challenges data engineers face and their impact on data systems
How these challenges relate to data system components
Useful applications of data engineering patterns
How to identify and fix issues with your current data components
Technology-agnostic solutions to new and existing data projects, with open source implementation examples
Bartosz Konieczny is a freelance data engineer whos been coding since 2010. Hes held various senior hands-on positions that allowed him to work on many data engineering problems in batch and stream processing.
Author: Bartosz Konieczny
Binding Type: Paperback
Publisher: OReilly Media
Published: 05/20/2025
Pages: 372
Weight: 1.31lbs
Size: 9.19h x 7.00w x 0.77d
ISBN: 9781098165819
Language: English
Reviews
There are no reviews yet.