Programme Curriculum
Duration

30 hours (4 weeks)

Fees

₹ 4,000/-

Learning Outcome

After completion of this course, participants are expected to be able to:

  1. Identify Big Data and its Implications.
  2. List the components of Hadoop and Hadoop Eco-System.
  3. Implement job scheduling, shuffle using map reduce.
  4. Access and querying big data with Hive and HBase.

Target Learners

Most certificate courses require applicants to have a minimum educational qualification, such as a high school diploma or an undergraduate degree. Some courses may also specify a preferred field of study or academic background.

Course Overview

Big data is a massive amount of information that can work wonders. One of the most important digital skills to have today is the ability to use big data, which is crucial in many industries, including business choices, IoT, and healthcare. As a result, there is a huge need for specialists who can work with big data. The primary goal of big data analytics online courses is to assist you in learning the core theories and tools of big data analysis,


Big Data Analytics

      • Introduction to Big Data, Big Data Analytics
      • Big data Hadoop Ecosystem and Components
      • Big data Cloudera VM installation

      • Introduction to Hadoop
      • HDFS Concepts
      • Hadoop file system interfaces,
      •Data Ingest with Flume and Scoop and Hadoop archives
      •Hadoop I/O: Compression, Serialization, and File-Based Data structures.

      • Big data MapReduce intro and hands on
      • Big data Intro to Hive and HiveQL
      • Big data SQOOP intro and hands on
      • Big data Case study - Hive and SQOOP

      • Big data SPARK architecture and advantages
      • Big data SPARK SQL streaming and SCALA
      • Big data PySPARK intro and recovery
      • UBig data Case study MapReduce and SPARK

Learners will learn from eLearning.

A Certificate of Completion will be awarded to those who complete following tasks in the course: Examinations: Obtaining a minimum score of 50% on all 4 quizzes.