Fundamentals of Data Engineering: Plan and Build Robust Data Systems by Joe Reis, Matt Housley
- Fundamentals of Data Engineering: Plan and Build Robust Data Systems
- Joe Reis, Matt Housley
- Page: 446
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781098108304
- Publisher: O'Reilly Media, Incorporated
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Download google books as pdf ubuntu Fundamentals of Data Engineering: Plan and Build Robust Data Systems 9781098108304 ePub iBook
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. 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
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Fundamentals of Data Engineering: Plan and Build Robust
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
Fundamentals of Data Engineering: Plan and Build Robust
Description · Get a concise overview of the entire data engineering landscape · Assess data engineering problems using an end-to-end framework of best practices
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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
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