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:
- 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 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.
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:
- 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 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.
Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems
Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems
Product Details
| ISBN-13: | 9798228630239 |
|---|---|
| Publisher: | Recorded Books, LLC |
| Publication date: | 09/23/2025 |
| Product dimensions: | 5.20(w) x 5.70(h) x (d) |
| Age Range: | 18 Years |