HadoopDB An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads[reference]

来自耶鲁的一篇论文 http://db.cs.yale.edu/hadoopdb/hadoopdb.pdf? 学习下。

简要介绍的PPT,很经典 http://www.slideshare.net/cloudera/hw09-hadoop-db

附其他资源,来自首页

HadoopDB
An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads.

DR@Y
Database Research at Yale University


HadoopDB is:

  1. A hybrid of DBMS and MapReduce technologies that targets analytical workloads
  2. Designed to run on a shared-nothing cluster of commodity machines, or in the cloud
  3. An attempt to fill the gap in the market for a free and open source parallel DBMS
  4. Much more scalable than currently available parallel database systems and DBMS/MapReduce hybrid systems.
  5. As scalable as Hadoop, while achieving superior performance on structured data analysis workloads

For more detail, check out theDBMS Musings blog post, or the paper below.

The Paper:

HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads. Azza Abouzeid, Kamil Bajda-Pawlikowski, Daniel J. Abadi, Avi Silberschatz, Alex Rasin. In Proceedings of VLDB, 2009. [PDF]

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One Response to HadoopDB An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads[reference]

  1. Apache Spark and Scala Training 2016年3月18日 at 下午4:35 #

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