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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

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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
Fundamentals of Data Engineering: Plan and Build Robust Data Systems by Reis, Joe, Housley, Matt. Click here for the lowest price! Paperback, 9781098108304 
Plan and Build Robust Data Systems, Paperb - eBay
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
You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are 
Information Systems Program (INFO) - < Northeastern University
Introduces the fundamental techniques for machine learning and data science engineering. Discusses a variety of machine learning algorithms, along with examples 
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems (Grayscale Indian Edition) (Paperback, Joe Reis, Matt Housley) · Binding: Paperback