Hadoop – A Big Data TOOLKIT - PowerPoint PPT Presentation

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Hadoop – A Big Data TOOLKIT

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A process in which big data( bulk of data) is examined to uncover hidden patterns and other useful business information. – PowerPoint PPT presentation

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Title: Hadoop – A Big Data TOOLKIT


1
Hadoop A Big Data TOOLKIT
2
What does big data analytics mean?
  • A process in which big data( bulk of data) is
    examined to uncover hidden patterns and other
    useful business information.
  • Generally, this is done with the help of big data
    analytics tools that support both predictive and
    prescriptive analytics applications running on
    the data.

3
Who uses big data analytics tools?
4
Whats Hadoop in data analytics?
  • Hadoop is an open source framework for data
    storage and running clusters of application.
  • It provides storage of any kind of massive data
    with massive processing powers and has the
    capability of handling limitless tasks.

5
Why Hadoop?
  • Capacity to store and process huge amount of any
    sort of information rapidly makes Hadoop an
    important tool. With data volumes and assortments
    continually expanding, particularly from social
    media and online networking, Hadoop makes it
    easier to manage all sorts of data.

6
Features
  • Computing Power.
  • Hadoop features distributed model of computing
    big data which in turn makes Hadoop a reliable
    data storage medium. The more computing nodes you
    use the more processing power you have.
  • Fault tolerance.
  • Data and application handling are ensured against
    hardware failure. If any of the data hubs goes
    down, work is automatically redirected to other
    data nodes to make sure the distributed computing
    does not fail. Various duplicates of all
    information are put away consequently.
  • Flexibility.
  • Hadoop allows you to store as much data as you
    want to and decide how you want to use it later.
    Unlike other databases, you dont have to
    preprocess data before storing it. That includes
    unstructured data like text, images, and videos.

7
Other Features
  • Low cost.
  • The Hadoop open-source framework is free and
    uses commodity hardware to store large quantities
    of data.
  • Scalability.
  • Grow your system easily by adding nodes to it for
    more data handling. The little administration is
    required.

8
  • Thank You!!
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