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Big Data Analytics on Hadoop Training Course

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About The Course

This course introduces Hadoop for distributed big data storage and processing. Participants will learn HDFS, MapReduce, Hive, and Pig for large-scale data ingestion, transformation, and analysis.

Objectives

  • Understand Hadoop architecture and HDFS.
  • Write and optimize MapReduce programs for big data processing.
  • Use Hive for querying structured data using SQL-like language.
  • Work with Pig scripts for data manipulation and ETL.
  • Integrate Hadoop tools to build scalable analytics solutions.

Requirements

Requirement

Familiarity with basic Linux commands and SQL.

Requirement

Understanding of data processing workflows.

Requirement

Access to a Hadoop sandbox or cloud-based environment.

Requirement

Recommended for data engineers, IT professionals, and analytics teams.

Register or Have Questions?

01 Register Now

02 Request Information?

You can contact our support team via Contact Page or call directly to inquire more about this course.

03 Know more about the course Duration

This course spans 2 Months and is available in Virtual mode.

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