plan and build robust data systems? Joe Reis Additional Author mixed material bibliography Beijing O\'Reilly Media, Sebastopol, CA 2022 en English

Book

xix, 422 pages : illustrations (black and white) ; 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 Joe Reis 1. Computer Science 2. Software Engineering 3. Dat Data Science Information Technology 005.743 9781098108304 NUML LIBRARY RAWALPINDI (National University of Modern Languages) NUML library is the state of art which equipped “RESEARCH FACILITATION CENTRE” with latest computers for readers to access the digital library of more than 23000 research journals and 130000 online books and E-Library of NUML-Rawalpindi. 005.743 JOE 14234 14234.jpg.jpg 21488 2026-02-02 16:13:07 2026-02-03 16:07:33 machine generated