Best sql on-hadoop tools that you need to know​ - PowerPoint PPT Presentation

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Best sql on-hadoop tools that you need to know​

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There are various tools of SQL-on-Hadoop developed that permitted the programmers for utilizing the existing SQL experits on Hadoop data stores. – PowerPoint PPT presentation

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Title: Best sql on-hadoop tools that you need to know​


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BEST SQL-on-Hadoop Tools That You Need To Know
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There are various tools of SQL-on-Hadoop
developed that permitted the programmers for
utilizing the existing SQL experits on Hadoop
data stores. Familiar and comfortable SQL is
their motto based on the front end to ask large
data stored under Hadoop architecture. Here in
this article you will find the best tools to use
and check out their advantages and disadvantages
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  • SQL-on-Hadoop Tool Cloudera Impala
  • A luxurious provision for the developers for
    running a user friendly SQL query on Hadoop
    Distributed File System (HDFS) and Hbase. Hive
    also provides an SQL like interface, for
    following the batch processing that lead to lags
    if something is looking for performance oriented
    alternative. This lag has been overcome for
    running queries in real time that allows
    integration of SOL BI tools with Hadoop data
    store. 

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  • SQL-on-Hadoop Tool Presto
  • There is another help from Facebook that is
    provided as an open source tool. It has many
    similarities with Impala and is written in Java
  • Interactive experience is provided.
  • Considerable groundwork is required that is
    installation across a number of nodes.
  • The data should be stored in a particular format
    (RC FILE)for optimal performance.

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  • Pivotal
  • This is an SQL-on-Hadoop product at the
    enterprise level capable of handling most of the
    demands of modern day analytics that tricks most
    of the boxes. The integrated analytics engine
    comes with learning capabilities of machine
  • that enchances the performance with usage. Data
    analysis, demand with focus on the modern day
    organizations for query language for handling
    statistical, mathematical and machine learning
    algorithms like regression, hypothesis testing,
    etc.

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  • SQL-on-Hadoop Tool Shark
  • With respect to one of the first top
    SQL-on-Hadoop projects, initiation of Shark as an
    aliter to have run Hive on MapReduce. The aim is
    to retain the functionalities of Hive, for
    delivering superior performance. It has a very
    good popularity and a faster alternative to
    Map-Reduce and there are lots of users around the
    world for it.

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