Fundamentals of Data Engineering - Plan and Build Robust Data Systems

"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."--Publisher marketing.

Über den Autor / die Autorin

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.

Produktdetails

• Autoren: Matt Housley, Joe Reis
• Verlag: O'Reilly
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 31.07.2022
• EAN: 9781098108304
• ISBN: 978-1-09-810830-4
• Abmessung: 178 mm x 234 mm x 24 mm
• Gewicht: 768 g
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik; Data Mining, COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Analytics, Database Software, Data capture and analysis, Data Capture & Analysis, COMPUTERS / Business & Productivity Software / Databases