Hadoop

Big data: 5 major advantages of Hadoop

y now, you have probably heard of Hadoop, an open source project that offers a new way to store and process data. While large Web 2.0 companies such as Google and Facebook use Hadoop to store and manage their huge data sets, Hadoop has also proven valuable for many other more traditional enterprises based on its five big advantages.
Hadoop is a highly scalable storage platform, because it can store and distribute very large data sets across hundreds of inexpensive servers that operate in parallel. Unlike traditional relational database systems (RDBMS) that can’t scale to process large amounts of data, Hadoop enables businesses to run applications on thousands of nodes involving thousands of terabytes of data.

3 Comments
  1. mishti chakraborty 1 year ago
    Reply

    Now i got very excitement due to you have provided more beneficial information about hadoop programming language.
    Big data Hadoop Projects

  2. elysiumacademy 9 months ago
    Reply

    great post i aware about RDMS Concepts however hadoop coming up with advanced storage mechanism called Data sets stored in different and parallel in expensive server personally learnt valuable information sure it will helps my big data hadoop certification courses thanks a lot for your sharing

  3. elysiumacademy 9 months ago
    Reply

    great post i aware about RDMS Concepts however hadoop coming up with advanced storage mechanism called Data sets stored in different and parallel in expensive server personally learnt valuable information sure it will helps my big data hadoop certification courses thanks a lot for your sharing

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