Hadoop Testing Training

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Hadoop Testing Training


 (4.9) | 750 Ratings


Introduction


Hadoop Testing Training Details
Track Regular Track Weekend Track Fast Track
Course Duration 35 Hrs 8 Weekends 5 Days
Hours 1hr/day 2 Hours a day 6 Hours a day
Training Mode Online Classroom Online Classroom Online Classroom
Delivery Instructor Led-Live Instructor Led-Live Instructor Led-Live


Course Curriculum

Hadoop Testing Course Modules

Software

  • Creation of Amazon Elastic Mapreduce instance.
  • Cloudera VM.

Architecture

  • Complete overview of system architecture, including data flow and components theory.
  • Overview of HDFS, including basic commands to move data in and from HDFS.
  • Overview of Mappers and Reducers.

HDFS

  • Locating the blocks of data in HDFS.
  • Learning to browse the HDFS file system using UI.

Map Reduce Jobs

  • Running a map reduce code written in Java.
  • Looking at the logs generated by the job.
  • Interpreting the output messages printed by a job.
  • Monitoring the progress for the hadoop jobs in the UI.
  • Interpreting the output of the job

Hive

  • Overview of HIVE architecture
  • Hive Query Language
  • Writing and running Hive queries on Hadoop

PIG

  • Pig Architecture
  • Pig Latin Language
  • Writing and running Pig Latin scripts
  • Difference between Pig and Hive.

POC and Lab Exercise

  • End-End demonstration of a POC
  • Instructions for implementing an exercise.

Hadoop Testing Project

Exam & Certification

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Course Curriculum

Hadoop Testing Course Modules

Software

  • Creation of Amazon Elastic Mapreduce instance.
  • Cloudera VM.

Architecture

  • Complete overview of system architecture, including data flow and components theory.
  • Overview of HDFS, including basic commands to move data in and from HDFS.
  • Overview of Mappers and Reducers.

HDFS

  • Locating the blocks of data in HDFS.
  • Learning to browse the HDFS file system using UI.

Map Reduce Jobs

  • Running a map reduce code written in Java.
  • Looking at the logs generated by the job.
  • Interpreting the output messages printed by a job.
  • Monitoring the progress for the hadoop jobs in the UI.
  • Interpreting the output of the job

Hive

  • Overview of HIVE architecture
  • Hive Query Language
  • Writing and running Hive queries on Hadoop

PIG

  • Pig Architecture
  • Pig Latin Language
  • Writing and running Pig Latin scripts
  • Difference between Pig and Hive.

POC and Lab Exercise

  • End-End demonstration of a POC
  • Instructions for implementing an exercise.

Hadoop Testing Project

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