VMware高级开发工程师蔺永华《Serengeti - 虚拟化你大数据应用》.pdf

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2017-07-16 发布于湖北
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VMware高级开发工程师蔺永华《Serengeti - 虚拟化你大数据应用》.pdf

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Serengeti - 虚拟化你的大数据应用蔺永华 Vmware, Inc. © 2009 VMware Inc. All rights reserved Agenda • Today’s big data system • Why virtualize hadoop? • Serengeti introduction • Common questions about virtualization • Serengeti solution • Deep insight into Serengeti • Summary • Q A Today’s Big Data System: Real Time Streams Real-Time Processing (s4, storm) Analytics ETL Data Real Time Parallel Structured Big SQL Batch Database Processing Unstructured Data (HDFS) Agenda • Today’s big data system • Why virtualize hadoop? • Serengeti introduction • Common questions about virtualization • Serengeti solution • Deep insight into Serengeti • Summary • Q A Challenges To Use Hadoop in physical infrastructure Deployment • Difficult to deploy, cost several people for several days even months • Difficult to tune cluster performance Low Efficiency • Hadoop clusters are typically not 100% utilized across all hardware resources. • Difficult to share resources safely between different workload Single Point of Failure • Single point of failure for Name Node and Job tracker • No HA for Hive, HCatalog, etc. Why Virtualize Hadoop? - Get your Hadoop cluster in minutes 1/1000 human efforts, Server preparation L