Fundamentals of Data Engineering: Plan and Build Robust Data Systems. Joe Reis, Matt Housley
Fundamentals-of-Data.pdf
ISBN: 9781098108304 | 446 pages | 12 Mb
- Fundamentals of Data Engineering: Plan and Build Robust Data Systems
- Joe Reis, Matt Housley
- Page: 446
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781098108304
- Publisher: O'Reilly Media, Incorporated
eBookStore library: Fundamentals of Data Engineering: Plan and Build Robust Data Systems (English literature)
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
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
Fundamentals of Data Engineering: Plan - Herringbone Books
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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oped for the two Systems Planning, Research, Development, and Engineering Systems Elements = Hardware, Software, Personnel, Facilities, Data, Material,.
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems Pre-order Price Guarantee. This title has not yet been released.
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plan and build robust data systems - By: Reis, Joe
Fundamentals of data engineering : plan and build robust data systems. By: Reis, Joe. Publisher/Imprint. O'Reilly Media, Inc, USA. Isbn/Ean.
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
With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies
Chapter 1. Data Engineering Described
Data engineering is one of the hottest fields in data and technology, and for a good reason. It builds the foundation for data science and analytics in
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You'll also learn about Shell, SQL, and Scala – so you can create data engineering pipelines, automate common file system tasks, and build a
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