11-11

[笔记] Building a Database on S3

11-08

[笔记] MapReduce: A Major step backwards

10-22

[笔记] Megastore: Providing scalable, highly available storage for interactive services

10-16

[笔记] FlumeJava: Easy, Efficient Data-Parallel Pipelines

10-14

[笔记] The End of an Architectural Era (It's Time for a Complete Rewrite)

10-11

[笔记] SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets

10-11

[笔记] Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks

10-09

[笔记] Improving MapReduce Performance in Heterogeneous Environments

10-09

[笔记] 数据压缩入门（Understanding Compression）

09-29

[笔记] Hive: a warehousing solution over a map-reduce framework