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008			230831s2023 cc a 0|1 0 eng d
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020			_a9789355422569
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042			_alccopycat
082	0	4	_a005.74015 _bGOP
100	1		_aGopalan, Rukmani,
245	1	4	_aThe cloud data lake : _ba guide to building robust cloud data architecture
260			_aMumbai _bShroff Publishers & Distributors Pvt. Ltd. _c2023
300			_axv, 227 pages :
520			_aMore organizations than ever understand the importance of data lake architectures for deriving value from their data. Building a robust, scalable, and performant data lake remains a complex proposition, however, with a buffet of tools and options that need to work together to provide a seamless end-to-end pipeline from data to insights. This book provides a concise yet comprehensive overview on the setup, management, and governance of a cloud data lake. Author Rukmani Gopalan, a product management leader and data enthusiast, guides data architects and engineers through the major aspects of working with a cloud data lake, from design considerations and best practices to data format optimizations, performance optimization, cost management, and governance. Learn the benefits of a cloud-based big data strategy for your organization Get guidance and best practices for designing performant and scalable data lakes Examine architecture and design choices, and data governance principles and strategies Build a data strategy that scales as your organizational and business needs increase Implement a scalable data lake in the cloud• Use cloud-based advanced analytics to gain more value from your data
650		0	_aCloud computing.
650		0	_aComputer architecture.
650		0	_aDatabases.
650		7	_aCloud computing. _2fast
650		7	_aComputer architecture. _2fast
650		7	_aDatabases. _2fast
906			_aBusiness Analytics
942			_2ddc _c1
999			_c98121 _d98121