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Hadoop World 2011: Building Realtime Big Data Services at Facebook with Hadoop and HBase - Jonathan Gray, Facebook

by on Nov 10, 2011

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Facebook has one of the largest Apache Hadoop data warehouses in the world, primarily queried through Apache Hive for offline data processing and analytics. However, the need for realtime analytics ...

Facebook has one of the largest Apache Hadoop data warehouses in the world, primarily queried through Apache Hive for offline data processing and analytics. However, the need for realtime analytics and end-user access has led to the development of several new systems built using Apache HBase. This talk will cover specific use cases and the work done at Facebook around building large scale, low latency and high throughput realtime services with Hadoop and HBase. This includes several significant contributions to existing projects as well as the release of new open source projects.

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13 of 3 previous next Post a comment

  • douglee1986 douglee1986 Facebook所构建的实时大数据服务 1 year ago
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  • chaoszhuo chaoszhuo update to date, debating HBase against MySQL 2 years ago
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  • sildershare2010 学峰 司 hbase优缺点,他们正在做的工作,未来趋势讲到都很到位 2 years ago
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Hadoop World 2011: Building Realtime Big Data Services at Facebook with Hadoop and HBase - Jonathan Gray, Facebook Hadoop World 2011: Building Realtime Big Data Services at Facebook with Hadoop and HBase - Jonathan Gray, Facebook Presentation Transcript