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Hadoop online training

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Title: Hadoop online training


1
(No Transcript)
2
What is Hadoop
  • Hadoop is an open source platform.
  • It supports the storage of extremely large
    data sets in a distributed computing environment.
  • It is based on java programming language.

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3
What is BIG DATA
  • As the name implies big data is a collection of
    large data sets that cant be processed using
    traditional computing techniques.
  • Big data is not merely a data, rather it has
    become a complete subject, which involves various
    tools, techniques and frameworks.

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4
Relation between Hadoop and Bigdata
Big information is nothing however a plan that
facilitates handling great amount of knowledge
sets. Hadoop is simply one framework out of
dozens of tools. Hadoop is primarily used for
instruction execution.
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5
Importance of Hadoop
  • Ability to store
  • Quick response
  • Power of computing

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6
Importance of Hadoop
4. Fault Tolerance 5. Flexibility 6.Low of cost
7.Scalability
7
1) Ability to store HADOOP is having the best
advantage , it can store the huge amount of
data.2) Quick Response From the large amount
of data it can responds very quickly.
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8
3) Power of computing HADDOP can computes the
big data fast. How many computing nodes you have
that much more processing power you have. 4)
Fault Tolerance It can protect data from the
hardware failure
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9
5) Flexibility Traditional relational databases,
we dont have to preprocess the data before
storing it. We can store as much as possible data
and we can use it later. That includes not only a
text, may be images and videos also.
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10
6) Low of cost HADOOP is an open source platform
and can store large volumes of data with out
disturbing the hardware. 7) Scalability To
maintain HADOOP software we need a small
administration and we can store more data simply
by adding nodes.
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11
Thank you
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