Another exquisit release

Linkedin.Learning.Learning.Hadoop-XQZT

     Title: Learning Hadoop
 Publisher: Linkedin.Learning
      Size: 488M (510877641 B)
     Files: 11F
      Date: 03/21/2020

  Course #: Linkedin.Learning
      Type: N/A
 Published: March 19, 2020
  Modified: N/A
       URL: www.linkedin.com/learning/learning-hadoop-2
    Author: Lynn Langit
  Duration: N/A
     Skill: N/A
 Exer/Code: [X]

Installation:
Unpack that shit, run that shit

Description:
Hadoop is indispensable when it comes to processing big dataΓÇöas
necessary to understanding your information as servers are to
storing it. This course is your introduction to Hadoop; key file
systems used with Hadoop; its processing engine, MapReduce, and its
many libraries and programming tools. Developer and big-data
consultant Lynn Langit shows how to set up a Hadoop
development environment, run and optimize MapReduce jobs, code
basic queries with Hive and Pig, and build workflows to
schedule jobs. Plus, learn about the depth and breadth of
available Apache Spark libraries available for use with a Hadoop
cluster, as well as options for running machine learning jobs on a
Hadoop cluster.



This NFO File was rendered by NFOmation.net

Another exquisit release

Linkedin.Learning.Learning.Hadoop-XQZT

     Title: Learning Hadoop
 Publisher: Linkedin.Learning
      Size: 488M (510877641 B)
     Files: 11F
      Date: 03/21/2020

  Course #: Linkedin.Learning
      Type: N/A
 Published: March 19, 2020
  Modified: N/A
       URL: www.linkedin.com/learning/learning-hadoop-2
    Author: Lynn Langit
  Duration: N/A
     Skill: N/A
 Exer/Code: [X]

Installation:
Unpack that shit, run that shit

Description:
Hadoop is indispensable when it comes to processing big data—as
necessary to understanding your information as servers are to
storing it. This course is your introduction to Hadoop; key file
systems used with Hadoop; its processing engine, MapReduce, and its
many libraries and programming tools. Developer and big-data
consultant Lynn Langit shows how to set up a Hadoop
development environment, run and optimize MapReduce jobs, code
basic queries with Hive and Pig, and build workflows to
schedule jobs. Plus, learn about the depth and breadth of
available Apache Spark libraries available for use with a Hadoop
cluster, as well as options for running machine learning jobs on a
Hadoop cluster.



This NFO File was rendered by NFOmation.net