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Big Data Hadoop

Learn BIG DATA HADOOP Hands-on from Global Experts - Apache Hadoop, HDFS, Map Reduce, YARN, Hive, PIG, Impala, Scoop

  TELCOMA Global

   IT & Software, IT Other

Language - English Published on 03/2021

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Ratings ( 1 )
  • Big data introduction new
    17:36
  • Data types
    08:10
  • Big data concept
    12:37
  • Big data concept 2
    12:26
  • Big Data benefits part 1
    10:26
  • Big Data benefits part 2
    07:02
  • Data storage & analysis
    13:34
  • Querying data
    08:31
  • Grid computing
    10:13
  • Query a public dataset
    02:47
  • Creating a dataset
    03:17
  • Querying a table
    02:56
  • Big table instance
    03:31
  • Pub-sub
    01:55
  • Big data intro
    09:45

Description

Big data is usually characterized by 3 V’s , Volumes of data, variety of data and velocity of data with which it could be processed. Big data has a variety of data types including structured data in SQL databases and data warehouses , unstructured data such as text and document files held in Hadoop clusters or NoSQL systems and semi-structured data like logs and streaming data from sensors etc.

Hadoop can handle various forms of data which gives users more flexibility in collecting, processing and analyzing data.

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