000			02135nam a22003737i 4500
005			20251030135903.0
007			t|
008			230503s2019 ||||| |||| 00| 0 spa d
020			_a9781491969274
040			_aCO-ViULL _erda _bspa
041			_heng
082	0		_223 _a005.74 _bK96a
100	1		_aKunigk, Jan _9160797, _eautor. _4aut
245	1	0	_aArchitecting Modern Data Platforms : _ba Guide to Enterprise Hadoop at Scale.
264		1	_a[Place of publication not identified] : _bO'Reilly, Inc., _c2019.
300			_a605 páginas.
336			_atexto _btxt _2rdacontent
337			_asin mediación _bn _2rdamedia
338			_avolumen _bnc _2rdacarrier
500			_aTable of contents.
505	8		_aBig Data Technology Primer. – Clusters. -- Compute and Storage. – Networking. -- Organizational Challenges. -- Datacenter Considerations. -- Provisioning Clusters. -- Platform Validation. – Security. -- Integration with Identity Management Providers. -- Accessing and Interacting with Clusters. -- High Availability. -- Backup and Disaster Recovery. -- Taking Hadoop to the Cloud. -- Basics of Virtualization for Hadoop. -- Solutions for Private Clouds. -- Automated Provisioning. -- Security in the Cloud.
520			_aThere’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform.
650		0	_aElectronic data processing _xDistributed processing _9160798.
650		0	_aProcesamiento electrónico de datos _xProcesamiento distribuido _9160799.
650		0	_aApache Hadoop _9160800.
650		0	_aFile organization _xComputer science _9160801.
650		0	_aOrganización de archivos _xInformática _9160802.
650		0	_aArquitectura de Computadores _911100.
650		0	_aGestión de base de datos _9160803.
700	1		_aBuss, Ian _9160804.
700	1		_aWilkinson, Paul _9160805.
700	1		_aGeorge, Lars _9160806.
942			_2ddc _cBK
999			_c47473 _d47473