Big Data Analytics with Hadoop-Level 1

Content Provider


Course Level


Mode Of Delivery



40 hrs

Certification By


Course Validity

Valid for 6 months post activation

Learning Resources

Videos, PPTs, Certification


Information Technology
  • 1,800/- 1599/-
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Big data refers to the utilization of advanced data analytics methods that help extract value from large data sets both structured and unstructured. With the availability of large data sets, there is a need for tools to computationally analyses and help reveal patterns, trends, associations to make meaningful decisions. 

Big data analytics helps in examining and analyzing complex data such as correlation of data, hidden patterns, market trends, customer preferences etc., that help organizations make realistic and informed decisions.

This Course

This course will introduce you to the concepts of Big Data using Hadoop and unfold the many nuances of Big Data Analytics. It also helps you understand MapReduce architecture, Hadoop configuration and more.

Learning Outcomes

  • Know the concept of BigData

  • Recognize the concept of Hadoop

  • Identify the internals of MapReduce and YARN

  • Appreciate the different modes and distribution of Hadoop

  • Write MapReduce job for word count

  • Create one node Hadoop cluster


Module 1 Introduction to Big Data

  • Rise of Big Data

  • Hadoop vs traditional systems

  • Hadoop Master-Slave architecture

  • HDFS Architecture 

  • NameNode 

  • DataNode

  • Secondary Node

  • JobTracker 

  • TaskTracker.

Module 2 HDFS and MapReduce architecture

  • Core components of Hadoop 

  • Anatomy of Read and Write data on HDFS, 

  • MapReduce architecture Flow, 

  • JobTracker and TaskTracker.

Module 3 Hadoop Configuration

  • Hadoop modes

  • Hadoop terminal commands

  • Cluster configuration

  • Web ports

  • Hadoop configuration files

  • Reporting

  • Recovery

  • MapReduce in action.

Module 4 Understanding Hadoop MapReduce framework

  • Overview of the MapReduce framework

  • Use cases of MapReduce

  • Anatomy of MapReduce program

  • Mapper/Reducer class 

  • Driver code and Combiner and Partitioner.

Module 5 Advance MapReduce - Part 1

  • Write your own Partitioner

  • Writing Map and Reduce

  • Map side/Reduce side Join

  • Distributed Join

  • Distributed cache

  • Counters and joining Multiple datasets in MapReduce.

Module 6 Advance MapReduce - Part 2

  • MapReduce internals

  • Input format

  • Custom input format

  • Writable and Comparable

  • Output format, files, JUnit and MRUnit testing frameworks

Module 7 Apache Pig

  • PIG vs MapReduce

  • PIG architecture & Data types

  • PIG Latin relational operators 

  • PIG Latin Join and CoGroup

  • PIG Latin group and union

  • Describe, Explain, Illustrate, PIG Latin: File loaders & UDF

Key Features

  • 7 well-structured learning modules

  • 8 Dezyre Videos 

  • 1 PPT

  • Certification

Career Opportunities

  • Data Analyst

  • Java Developer

  • Hadoop Developer

  • Business Analyst

  • Software Developer

  • SAS Analyst


After completing this course and successfully passing the certification examination, the student will be awarded the “Big Data Analytics with Hadoop1” certification.

If a learner chooses not to take up the examination, they will still get a 'Participation Certificate'

Who Should Attend

  • Computer Science Engineers

  • Engineering and IT students

  • Graduates / Post Graduates with a programming background

  • Graduates / Post Graduates in Computer Applications

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No, online classes are not available for all courses on KRACKiN. Courses are designed as self- paced learning courses supported by videos, PPTs and practice quizzes etc. are provided for easy understanding of the students.
Are the course certificates valid?

Yes, the certificates are valid across all the sectors in the Industry.
Can I access your courses on Mobile device?

Yes, you can access the courses on your mobile browser.
Can my course access be extended?

We recommend you complete your assigned courses within the stipulated time as we do not have the provision to extend the course validity.
How to get my certificate after completing the course?

After the completion of all the given modules, the certificate will be auto generated by the system.

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