Big Data Analytics with Hadoop

Big Data Analytics with Hadoop

About The Course

As the need for big data analytics gains prominence world over; there is a subsequent growth in demand for Hadoop skill to process big data.
Program Objective
This course aims to take you through all the Big Data and Hadoop analytics concepts through step by step, well structured modules. It is our objective at Analytic square that by the end of this program you should be able to –
1. Have a basic understanding of Hadoop Distributed File System as well as MapReduce framework
2. Create a Hadoop cluster
3. Work with Sqoop and Flume on Data Loading Techniques
4. Learn to program in YARN, MapReduce and even write them
5. Do data analytics
6. Work on your own Big Data Analytics project implementing Hadoop
Who Should Join
If you are interested in big data and want to become a proficient Hadoop Developer this course is just right for you. You can benefit from this course if you are a –
1. Software professionals
2. ETL developers
3. Project Managers
4. Analytics Professionals
5. Testing experts
6. Students with knowledge of Core Java

Course Module

  •  Lecture 1: What is Big Data
  •  Lecture 2: What is Hadoop
  •  Lecture 3: Distributed System and Hadoop
  •  Lecture 4: RDBMS and Hadoop
  •  Lecture 5: Single node Hadoop Cluster
  •  Lecture 6: Configuring Hadoop
  •  Lecture 7: Hadoop Architecture
  •  Lecture 8: Hadoop Components
  •  Lecture 9: Name and Data Nodes
  •  Lecture 10: Command Line Interface
  •  Lecture 11: Running Hadoop
  •  Lecture 12: Web-based cluster UI-Name Node UI, Map Reduce UI
  •  Lecture 13: Hands-On Exercise: Using HDFS commands
  •   Section Quiz
  •  Lecture 14: How Map Reduce Works
  •  Lecture 15: Data flow in Map Reduce
  •  Lecture 16: Map operation
  •  Lecture 17: Reduce operation
  •  Lecture 18: Map Reduce Program In JAVA using Eclipse
  •  Lecture 19: Counting words with Hadoop—Running your first program
  •  Lecture 20: Writing Map Reduce Drivers, Mappers and Reducers in Java
  •  Lecture 21: Real-world “Map Reduce” problems
  •  Lecture 22: Hands-On Exercise: Writing a Map Reduce Program and Running a Map Reduce Job
  •  Lecture 23: Java Word Count Code Walkthrough Section Quiz
  •  Section Quiz
  •  Lecture 24: Hive
  •  Lecture 25: Sqoop
  •  Lecture 26: Pig
  •  Lecture 27: Hbase
  •  Section Quiz
  •  Lecture 28: Installation of Hive
  •  Lecture 29: Introduction to Apache Hive
  •  Lecture 30: Getting data into Hive
  •  Lecture 31: Hive’s Architecture
  •  Lecture 32: Hive-HQL
  •  Lecture 33: Query Execution
  •  Section Quiz
  •  Lecture 34: Installing and Configure Sqoop
  •  Lecture 35: Import RDBMS data to Hive using Sqoop
  •  Lecture 36: Export from to Hive to RDBMS using Sqoop
  •  Lecture 37: Introduction and Installation of Pig
  •  Lecture 38: Pig Architecture
  •  Lecture 39: Pig Latin – Reading and writing data using Pig
  •  Lecture 40: Installation
  •  Lecture 41: Architecture of Hbase
  •  Lecture 42: Managing large data sets with HBase
  •  Final Quiz

Big Data Analytics With Hadoop Course Training


The most important thing to be considered before enrolling for any course is to make sure it is a certified one or not. A certified course helps improve the skill value of the learner thereby giving them access to better jobs. And this course comes provides the learners with acceptable industry certification for all the training received.

Experienced Faculty

All the faculty responsible for imparting knowledge are expert CAs and FCAs with more than ten years of experience under their built. They provide learners with complete practical training.

Assistance for Placement

Once 70% of the training is completed, our dedicated placement teams start arranging interviews for the learners to help them get placed in a good position.

Lab Facility

Practical Training is always the best sort of training, and that is why we have a high-end lab facility to help the learners gain corporate level exposure with a series of technical tests to assess their progress.



Learners are given them to take part in real-time projects and case studies to better prepare them for the corporate world.

Constant Admin Support

The Admin team is always just a call away, and they take care of all the needs that a learner might have.

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