Full Stack Big Data Analytics Program

₹48,400 + taxes

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₹48,400 + taxes

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This Big Data program covers both the Data Engineering and Big Data Analytics process involved in storing, processing and managing Big Data - both structured and unstructured data, as well as the data analytics layer on top of Big Data systems, using both more traditional predictive models by connecting an analytics tool like R to Big Data Systems, as well as advanced Machine Learning algorithms on Big Data using Spark.
Learning Mode:  Online (Self-paced)
Certification Certification:  Jigsaw and IBM
Course Duration:  6 Months
Access Duration:  12 Months

What you get

IBM Certification
IBM Certification
Placement Support
Capstone Project
Online Classes
Online Q&A Sessions
Faculty & Technical Support
Mobile App Access
Case Studies
UChicago Certification
Guaranteed Internships
Live Online Classes
IOT Hardware Kit
IOT Hardware Kit
IconNot Applicable
* T&C apply

Tools & Curriculum Covered

Tools Tools Tools Tools Tools Tools

Introduction to Big Data

Hadoop and HDFS


MapReduce Advanced



Programming in Hive

Case Study - Airlines Data Analysis

Case Study - Movielens Data Analysis

Data Extraction Tools

Cloudera Distributions , HUE & Impala

Case Study - Data Migration from RDBMS to HDFS

Introduction to NoSQL

HBASE and Oozie

Set-Up and Getting Started

Introduction to Spark

Internals of Spark

Spark Architecture

Spark Components

Spark R

Spark MLLib

Case Study - Recommendation Engine for eCommerce Data

Case Study - Streaming Data Analysis with KAFKA

Case Study - New York Stock Exchange Data Analysis

Case Study - Bank Transaction Data Analysis

Introduction to Cassandra

Architecture of Cassandra

Installing and Configuring Cassandra

Copy Bulk Data And Batch Statements

Interfaces to Apache Cassandra

Advanced Architecture

Indexing and Aggregation

Replication and Sharding

Cluster Administration

Introduction to Big Data and Real-time Big Data Processing

Introduction to Storm

Storm Installation and Configuration

Storm Advanced Concepts

Storm Interfaces

Storm Trident

Case Study: User Calls Analysis in MongoDB


Our programs have been designed for all students regardless of any prior knowledge of analytics, statistics or coding. We have had and continue to have many successful students who are from non-IT or non-mathematics backgrounds. But the subject matter is quantitative, and hence a background in maths, statistics or coding is helpful. If you have specific questions regarding eligibility or prerequisites for any program, please contact us at +91 9019217000.

Full Stack Programs are designed to give you the combination of skills that’s most in-demand in the industry. For example, the Full Stack Data Science will equip you with the knowledge of SAS, R, Python, Excel, VBA and Advanced SAS. This combination will give you a better chance of entering the field of analytics than learning a single course.You can speak to a Jigsaw Academy counselor if you still have questions.

If you are enrolled for any of our in-person classes, you can ask your questions during the live sessions. For online learning, you can reach our faculty through email, call, chat (Google hangouts) or ask via the forum. Once the course is over, you can still get in touch with us via email.

We have a strong network in the field of analytics. We are constantly in touch with various companies for their hiring and training needs. We identify the right opportunities for our students and help them get in touch with the relevant HR teams.

Success Stories & Placements

Success Stories

"Avinash, a Unix Programmer, became a coveted Big Data unicorn, and earned a promotion from his company  Avinash started his software career with a US-based IT & consulting firm, but began rethi..."

Avinash Gopal

Data Scientist, Cognizant Technology Solutions, Cognizant Technology Solutions