Big Data Solutions - Apache’s Hadoop & Spark - PowerPoint PPT Presentation

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Big Data Solutions - Apache’s Hadoop & Spark

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Hadoop, part of Apache project by Apache Software Foundation, is an open-source Java-based software framework that allows processing of large data sets. – PowerPoint PPT presentation

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Title: Big Data Solutions - Apache’s Hadoop & Spark


1
Big Data Solutions - Apaches Hadoop Spark
Visit- Sri Vasavi Arcade 83, 3rd floor, 17th
Cross, 21st main, Banashankari 2nd stage   Near
to BDA Complex -gt SLV Swadista Hotel-gt Polar Bear
-gt Sri Krishna Stores Bengaluru, Karnataka
560070   91 9535584691 info_at_npntraining.com
2
  • Hadoop, part of Apache project by Apache Software
    Foundation, is an open-source Java-based software
    framework that allows processing of large data
    sets. It provides enormous data storage space
    with excellent processing power and impeccable
    multitasking for jobs at hand. Hadoop actually
    uses a network of computers in solving issues
    with huge amount of data and computation. In
    order to improve the skills, it is highly
    recommended to enroll for Hadoop Classroom
    Training In Bangalore.

3
  • Hadoop lets you store Big Data in a distributed
    manner so that it can be processed
    simultaneously. There are two focus areas in
    Hadoop Storage and Processing.
  • Storage - Called as HDFS, Hadoop distributed File
    System, stores data of different formats across a
    cluster. It allows storage of huge files (GB, TB)
    across multiple machines
  • ProcessingKnown as Yarn, involves processing of
    data stored over the HDFS.

4
  • Why Hadoop?
  • Traditional data handling systems are unable to
    manage Big data due to the following factors
  • Massive Data Traditional systems, given the
    architecture, are unable to handle huge data,
    which is taking exponential jumps every moment.
  • Varied Data As todays data is structured as
    well as unstructured and gets generated in
    different forms like audio, video, pictures need
    to have a suitable data processor that can
    accommodate different data types originating from
    different sources.
  • Speed of accessing and processing data
    Traditional systems have their own limitations
    regarding the speed of accessing and processing
    data and cannot be efficient and reliable option
    in case of Big Data handling.

5
  • Apache Spark
  • Another cluster-computing framework is Spark or
    Apache Spark however, it does not have its own
    file distribution system and is basically a
    processing unit like yarn in Hadoop. Therefore,
    it depends on Hadoop or some other solution.
    Spark is like Hadoop MapReduce, which deals with
    computing and processing part.
  • As data has qualified as a valuable resource, the
    business world is investing heavily to ensure
    better technologies are employed for data
    management. With ever increasing data, Big Data,
    the IT industry needs and will need professionals
    who specialize in Big Data handling application
    like Hadoop and Apache Spark. To secure a career
    in Big Data handling, you can sign up to quality
    for the Best Spark Training In Bangalore.

6
Connect with us
  • Visit-
  • Sri Vasavi Arcade
  • 83, 3rd floor,
  • 17th Cross, 21st main, Banashankari 2nd stage
  •  Near to BDA Complex -gt SLV Swadista Hotel-gt
    Polar Bear -gt Sri Krishna Stores Bengaluru,
    Karnataka 560070
  •  91 9535584691
  • info_at_npntraining.com

7
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