Data Visualization Using Apache Hadoop Training In chennai

Advantages of Hadoop
1)Distribute data and computation.The computation local to data prevents the network overload.
2)Tasks are independent The task are independent so,We can easy to handle partial failure. Here the entire nodes can fail and restart. It avoids crawling horrors of failure and tolerant synchronous distributed systems. Speculative execution to work around stragglers.
3)Linear scaling in the ideal case.It used to design for cheap, commodity hardware.The future of business belongs to those enterprises that embrace the big data analytics movement and use it to their advantage,said Scott Gnau , president, Teradata Labs.

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