Hadoop / BigData Corporate Training

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.With today's increasing big data demands, Apache Hadoop is proving to be an economic, elastic and highly-effective solution for data storage and analysis

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