Fundamentals of Data Engineering
Plan and Build Robust Data Systems
O'Reilly Media · Print & ebook · July 26, 2022
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice.
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- Who it’s for
- Software engineers and data scientists seeking a comprehensive overview of data engineering
- Themes
- Data Engineering Lifecycle, Cloud Technologies, Data Governance
- Pacing
- Steady
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Start with this bookAbout this book
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
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Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: - Get a concise overview of the entire data engineering landscape - Assess data engineering problems using an end-to-end framework of best practices - Cut through marketing hype when choosing data technologies, architecture, and processes - Use the data engineering lifecycle to design and build a robust architecture - Incorporate data governance and security across the data engineering lifecycle
Built for Practice
Come here for
- practical system-building guidance
- clear, accessible fundamentals
Expect
- career-useful framing
- hands-on, utility-first tone
Where it sits
| Cloud Computing | 30% |
|---|---|
| Database Administration | 23% |
| Data Warehousing | 21% |
Percentages are BookFrontier’s reading of the book.
Publisher categories
- Data Science
- Data Mining
- Data Modeling
- Desktop Databases
- Authors
- Joe Reis, Matt Housley
- Publisher
- O'Reilly Media
- Published
- July 26, 2022
- Format
- Print & ebook
- Theme
- Data Engineering Lifecycle · Cloud Technologies · Data Governance
- Reading lane
- Data Science