Data Engineering Design Patterns
ebook ∣ Recipes for Solving the Most Common Data Engineering Problems
By Bartosz Konieczny
Sign up to save your library
With an OverDrive account, you can save your favorite libraries for at-a-glance information about availability. Find out more about OverDrive accounts.
Share
Find this title in Libby, the library reading app by OverDrive.
Search for a digital library with this title
Title found at these libraries:
| Library Name | Distance |
|---|---|
| Loading... |
Data projects are an intrinsic part of an organization's 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, you'll use open source data tools and public cloud services to apply each pattern. You'll learn:
Bartosz Konieczny is a freelance data engineer who's been coding since 2010. He's held various senior hands-on positions that allowed him to work on many data engineering problems in batch and stream processing.
Share
