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We would like to implement Hadoop on our system to improve its performance.
The process works like this: Hadoop will gather data from MySQL database then process it. The output will then be exported back to MySQL database.
Is this a good implementation? Will this improve our system's overall performance? What are the requirements and has this been done before? A good tutorial would really help.
Thanks
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Hadoop is not a type of database, but rather a software ecosystem that allows for massively parallel computing. It is an enabler of certain types NoSQL distributed databases (such as HBase), which can allow for data to be spread across thousands of servers with little reduction in performance.
MySQL is a widely used open-source relational database management system (RDBMS) and is an excellent solution for many applications, including web-scale applications. However, its architecture has limitations when it comes to big data analytics.
Sqoop is a tool designed to import data from relational databases into Hadoop
https://github.com/cloudera/sqoop/wiki/
and a video about it http://www.cloudera.com/blog/2009/12/hadoop-world-sqoop-database-import-for-hadoop/
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