000			01969nam a2200205Ia 4500
005			20250208114521.0
008			240825s9999 xx 000 0 und d
020			_a9789355421548 _qpbk
041			_aeng
082			_a005.74 _bREI
100			_aReis, Joe
245		0	_a Fundamentals of data engineering : plan and build robust data systems _c/ Joe Reis, Matthew L. Housley
250			_a1st edition
260			_c2023 _a Beijing [China], _bO'Reilly,
300			_a xix, 422 pages : _b black and white illustrations ; _c 23 cm
504			_aindex
520			_a"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 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 data 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."-- Back cover
650			_aComputer Science Big data COMPUTERS / Data Science / Data Modeling & Design Computer architecture Database design
942			_cREF
999			_c542366 _d542366