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. |
| Note | Unavailable |