Daniel Abadi HadoopWorld 2010
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The document discusses the relationship between MapReduce systems like Hadoop and parallel database systems. It summarizes the history of MapReduce and describes benchmarks comparing Hadoop to parallel databases. While Hadoop has advantages for unstructured data processing, databases are better for structured queries. However, Hadoop is improving and being used more widely for data warehousing. HadoopDB is introduced as a way to use Hadoop for coordination while running queries on independent database systems for better performance.
![Brief History of MapReduce ,[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Daniel Abadi HadoopWorld 2010
- 1. MapReduce and Parallel Database Systems: Complementary or Competitive Technology? Daniel Abadi Yale University October 12 th , 2010
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- 22. Fault Tolerance and Cluster Heterogeneity Results Database systems restart entire query upon a single node failure, and do not adapt if a node is running slowly
- 27. Fault Tolerance and Cluster Heterogeneity Results