Big data hadoop rdbms
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The document discusses and compares MapReduce and relational database management systems (RDBMS) for large-scale data processing. It describes several hybrid approaches that attempt to combine the scalability of MapReduce with the query optimization and efficiency of parallel RDBMS. HadoopDB is highlighted as a system that uses Hadoop for communication and data distribution across nodes running PostgreSQL for query execution. Performance evaluations show hybrid systems can outperform pure MapReduce but may still lag specialized parallel databases.
![Big Data MapReduce vs. RDBMS Arjen P. de Vries [email_address] Centrum Wiskunde & Informatica Delft University of Technology Spinque B.V.](https://image.slidesharecdn.com/bigdata-mr-rdbms-111201055133-phpapp01/85/big-data-hadoop-rdbms-1-320.jpg)
![Context ,[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Big data hadoop rdbms
- 1. Big Data MapReduce vs. RDBMS Arjen P. de Vries [email_address] Centrum Wiskunde & Informatica Delft University of Technology Spinque B.V.
- 4. @CWI – 2011
- 10. Comparison (on 100-node cluster) http://database.cs.brown.edu/projects/mapreduce-vs-dbms/ Hadoop DBMS-X Vertica Hadoop/ DBMS-X Hadoop/ Vertica Grep 284s 194s 108s 1.5 2.6 Web Log >1Ks 740s 268s 1.6 4.3 Join >1Ks 32s 55s 36.3 21
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