Data Engineering Design Patterns by Bartosz Konieczny

Data Engineering Design Patterns by Bartosz Konieczny

This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, and idempotency. Bartosz Konieczny shows you how to of build reliable end-to-end data engineering projects, from data ingestion to data observability.

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 at waitingforcode.com, 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.

SKU	Unavailable
ISBN 13	9781098165819
ISBN 10	1098165810
Title	Data Engineering Design Patterns
Author	Bartosz Konieczny
Condition	Unavailable
Binding Type	Paperback
Publisher	O'Reilly Media
Year published	2025-04-29
Number of pages	340
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.