Data Engineering Design Patterns
recipes for solving the most common data engineering problems
$146.73
- Paperback
340 pages
- Release Date
29 April 2025
Summary
Data Engineering Design Patterns: Solve Complex Data Challenges
Data projects are crucial to any organization’s tech ecosystem, yet many data engineers find themselves reinventing the wheel. This practical guide equips you with proven solutions to common data engineering hurdles, enabling you to deliver valuable, reliable data.
Author Bartosz Konieczny walks you through building robust end-to-end data engineering projects, from ingestion to observability. You’ll focus on dat…
Book Details
| ISBN-13: | 9781098165819 |
|---|---|
| ISBN-10: | 1098165810 |
| Author: | Bartosz Konieczny |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 340 |
| Release Date: | 29 April 2025 |
| Weight: | 656g |
| Dimensions: | 29mm x 234mm x 180mm |
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About The Author
Bartosz Konieczny
Bartosz is a freelance data engineer enthusiast who has been coding since 2010. He has held various senior hands-on positions that helped him work on many data engineering problems, such as sessionization, data ingestion, data cleansing, ordered data processing, or data migration. He enjoys solving data challenges with public cloud services and Open Source technologies, especially Apache Spark, Apache Kafka, Apache Airflow, and Delta Lake.
Besides that, you can read his blog posts or improve your data engineering skills with one of his courses or training. Bartosz is also an occasional speaker at conferences and meetups, including Data+AI Summit, Big Data Technology Warsaw Summit, or NDC Porto.
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