Software –
Hadoop Overview

Difficulty level:
Beginner

Duration:
32 hours (4 days)

Provide Certifications of Completion

Course Overview

This 4-day course provides participants with a solid foundation in Hadoop and Spark, two of the most essential technologies in the Big Data ecosystem. The training covers Hadoop system components such as HDFS, MapReduce, and Sqoop, alongside Spark fundamentals including Spark RDDs, Spark SQL, and Spark Streaming. Through hands-on exercises, participants will learn to manage Hadoop clusters, configure key components, and apply Spark for large-scale data processing.

With enterprises increasingly relying on Big Data technologies for analytics and decision-making, Hadoop and Spark expertise is in high demand. Professionals who master these skills can handle massive datasets, optimize cluster performance, and support advanced analytics initiatives. Whether you’re an IT professional, data engineer, or aspiring data scientist, this course strengthens your career prospects by preparing you to deliver scalable and secure data solutions.

Course Outcome:

  • Understand the fundamental concepts of Apache Hadoop.
  • Identify the core components in Apache Hadoop.
  • Manage a Hadoop cluster and its components.
  • Install and configure the components of a Hadoop cluster.
  • Understand the concepts of Hadoop security.

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