01990nam a22003497i 450000500170000000700030001700800410002002000180006104000230007904100080010208200210011010000290013124500810016026400680024130000190030933600270032833700330035533800280038850000230041650505170043952003420095665000550129865000680135365000180142165000400143965000460147965000330152565000310155870000140158970000200160370000170162320251030135903.0t|230503s2019       ||||| |||| 00| 0 spa d  a9781491969274  aCO-ViULLerdabspa  heng0 223a005.74bK96a1 aKunigk, Janeautor.4aut10aArchitecting Modern Data Platforms :ba Guide to Enterprise Hadoop at Scale. 1a[Place of publication not identified] :bO'Reilly, Inc.,c2019.  a605 páginas.  atextobtxt2rdacontent  asin mediaciónbn2rdamedia  avolumenbnc2rdacarrier  aTable of contents.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.  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. 0aElectronic data processingxDistributed processing 0aProcesamiento electrónico de datosxProcesamiento distribuido 0aApache Hadoop 0aFile organizationxComputer science 0aOrganización de archivosxInformática 0aArquitectura de Computadores 0aGestión de base de datos1 aBuss, Ian1 aWilkinson, Paul1 aGeorge, Lars