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By Gillenson, Mark L.
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Subtitle 1st Edition - 2025. by Versatile Reads. Country of Origin US. At The Nile, if you're looking for it, we've got it. We've got this. TheNile_Item_ID:172405007;. Audience General. Publication Date 2025-06-03.
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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 will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in 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 will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the.
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About the Author Joe Reis is a business-minded data nerd who's worked in the data industry for 20 years, with responsibilities ranging from statistical modeling, forecasting, machine learning, data engineering, data architecture, and almost everything else in between. Joe is the CEO and cofounder of Ternary Data, a data engineering and architecture consulting firm based in Salt Lake City, Utah. In addition, he volunteers with several technology groups and teaches at the University of Utah. In his spare time, Joe likes to rock climb, produce electronic music, and take his kids on crazy adventures. Matt Housley is a data engineering consultant and cloud specialist. After some early programming experience with Logo, Basic, and 6502 assembly, he completed a PhD in mathematics at the University of Utah.
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Publisher: Cengage Learning. Authors: Ralph M. Stair / George W. Reynolds. Edition: 9th Edition.
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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. by Joe Reis, Matt Housley. Subtitle Plan and Build Robust Data Systems.
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