How Hadoop helps Organizations to Process Big Data

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How Hadoop helps Organizations to Process Big
Data
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Introduction to Hadoop

• Product by Apache and is an open-source Java
  based framework
• Processes voluminous data commonly termed as Big
  Data
• Used to organize the Structured and Unstructured
  Data
• Linux and Windows are the preferred Operating
  Systems

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Importance of Hadoop in Organizations

• Innumerable organizations opt to use Hadoop due
  to its
• Outstanding Data Management excellence
• Minimal system failure errors

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Benefits of Hadoop to Process Big Data
Stores and processes Voluminous Data
Faster Computing
Flexibility
Protection from Hardware Failure
Low Cost
Widely used among Industries
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Storing and Processing Voluminous Data

• Hadoop has the capability to store and process
  the large amount of data irrespective of its type
• It can store especially the data, especially
  increasing on the social media platform and IoT
  (Internet of Things)

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Faster Computing

• Hadoop works on the distributed computing model
  that processes the data faster
• It uses the nodes that computes the data power
  and aids in easy management of data

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Lesser Risk of Hardware Failure

• Hadoop processes the data through nodes and
  brings down the worries of Organizations to loose
  the important data
• The tasks are shifted to other node, if one of
  the nodes stops working

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Flexibility

• A pre-processing of data was needed in earlier
  times before saving it, which is changed due to
  introduction of Hadoop
• Now, any amount of data can be saved and used
  later like images, videos or text

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Low Cost

• Hadoop is an open-source software and free to use
• Stores huge amount of data on hardware which is
  affordable

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Widely used among Industries

• Usage of Hadoop has widened its scope in various
  industries
• Industries include Media, Healthcare, Information
  Services, and Finance

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