000			01905nam a2200205Ia 4500
008			230621s9999||||xx |||||||||||||| ||und||
020			_a9789355421548 (pbk.)
082			_a004.6782 _bREI
100			_aReis, Joe _99102
245		0	_aFundamentals of data engineering : _bplan and build robust data systems
260			_aSebastopol _bO'Reilly Media Inc. _c2022
300			_axix, 422p.,
500			_ahttps://www.shroffpublishers.com/books/9789355421548/
520			_aData 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 Show and hide more
650			_aBig data _92939
650			_aData mining _9399
650			_aDatabase management _93216
700			_aHousley, Matt _99104
942			_cBK _o004.6782 REI _2Dewey Decimal Classification
999			_c9529 _d9529