Why Big data Bundle?

IDC predicts that Big Data Technology and Services Market will grow at 26.4 % annually to $41.5 billion through 2018.

Demand for Hadoop and related technologies are projected to exceed supply by more than 50 percent by 2018. The exponential growth in data across various industries and advanced processing capabilities present Big Data and Hadoop Professionals with sought after positions in big data analysis.
Hadoop is not just a product or a platform; it is an ecosystem of open products, technologies, tools, and platforms that work together to derive insights from unstructured or semi-structured data distributed over many computers. Every day, 2.5 quintillion bytes of data get created globally from different transactions and devices.
These following 4 most popular and useful Big Data technologies packaged as self-paced online learning modules spanning 232 lectures consisting of 37.5 hours of content will enable you to confidently handle Big Data problems in multiple scenarios.

Hadoop & MapReduce for
Big Data Problems

13 Hrs | 71 Lessons | WATCH VIDEO

₹ 2,599.00 Enroll Now

Using MapReduce – the most popular open source parallel programming model for processing large datasets, you will learn how to do efficiently process large amounts of data spread across Hadoop Clusters. With 71 lectures consisting of 13 hours of content that are accessible 24X7, you will be able to setup your own Hadoop cluster and perform multiple parallel processing real world assignments.

Hive for Big Data Processing

15 Hrs | 86 Lessons | WATCH VIDEO

₹ 2,599.00 Enroll Now

Hive is a data warehousing tool built on top of Hadoop that helps you to take advantage of distributed computing. With 86 lectures consisting of 15 hours of content, you will be able to write complex analytical queries, use partitioning and bucketing concepts to optimize queries and understand how Hive, HDFS and MapReduce work together.


HBase – The Hadoop Database

4.5 Hrs | 41 Lessons | WATCH VIDEO

₹ 2,599.00 Enroll Now

Apache HBase is an open-source distributed database built on top of Hadoop Distributed File System(HDFS). With 41 lectures consisting of 4.5 hours of content that are accessible 24X7, you will be able to setup a database for your application, create and access data from HBase, integrate HBase with MapReduce for data processing tasks and understand the role of HBase in the Hadoop ecosystem.


Pig for Wrangling Big Data

5 Hrs | 34 Lessons | WATCH VIDEO

₹ 2,599.00 Enroll Now

Apache Pig can execute its Hadoop jobs in MapReduce. With 34 lectures consisting of 5 hours of content that are accessible 24X7, you can work with unstructured data to extract information, transform and store in a usable form, write intermediate level Pig scripts and optimize operations to work on large data sets.


ScholarsPro offers Big Data Hadoop (Developer) Live Online Group Training. Please click here for Details


  • This course is designed for individuals seeking to gain expertise in the concepts of big data, tools and the platform of Hadoop needed for processing large data sets.
  • If you are an IT professional with a minimum of 2 years’ experience in programming with an interest in developing a career in analytics, this course is a good place to start.
  • If you are from other technology backgrounds and have a need to work on big data to derive insights, this course will be of help.
  • Professionals working in Data Warehousing / Mining technologies will be able to advance their career in Big Data Engineering and Data Science roles.

Prerequisites for Big Data Bundle Training

Though not mandatory, basic knowledge of Java or other programming language is recommended.

Meet the Scholars

Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertise at Google and Flipkart have put these 4 Big Data technologies together. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.


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Helly shahContent writer
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Diksha thakurStudent
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Sanjeev SharmaManager
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The course curriculum, study material and classes for Business Analytics course were very helpful in terms of knowledge and exposure ...
Sanjay Sinha
Sanjay Sinha Secretary ICAS,
“SchoalrsPro good place to learn R through online course. Great environment and very nice faculty.  All the best!”
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Nipun RajBranch Manager
Reliance Capital, India
“My experience is very good with ScholarsPro. Trainer of Digital Marketing is very much supportive and knowledgeable.”
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“Incredible Trainer! I have been trying to learn SAS since 1 month on my own. Everything got jumbled up. Thanks ...
Amit Kumar Singh
Amit Kumar SinghSoftware Development Engineer
Allegis Services, India
“I would like to thank you for your support. I enjoyed your Hadoop classes.”


This bundle is designed for individuals seeking to gain expertise in the concepts of big data, tools and the platform of Hadoop needed for processing large data sets. However, basic understanding of Java or some programming is recommended.

It is not mandatory that you need a technical background to learn Hadoop. If you have a need to derive insights from large volume of data in your current job or if you like to switch to a career in Data Science or Analytics, thesemodules will help you.

A certification in Big Data & Hadoop can definitely complement your job search. However having a few years’ experience will be an added advantage for most of the practical implementation of Hadoop.

Definitely! In fact you can consider Hadoop Administration roles who manages infrastructure, Hadoop Clusters etc.

While a basic working knowledge of Java will be of help, it is not mandatory to know Java programming for learning Hadoop. Some of the Hadoop components like Pig, Hive etc. can be learned without knowledge of Java. There are some rare requirements to use Java which can be learned easily.

The purpose of thesemodulesis to provide high level understanding and the capabilities of Hadoop (MapReduce, HDFS), Hive, HBase, and Pig for processing large volume of data workloads with various industry use cases.

  • Access 71 lectures & 13 hours of content 24/7
  • Set up your own Hadoop cluster using virtual machines (VMs) & the Cloud
  • Understand HDFS, MapReduce & YARN & their interaction
  • Use MapReduce to recommend friends in a social network, build search engines & generate bigrams
  • Chain multiple MapReduce jobs together
  • Write your own customized partitioner
  • Learn to globally sort a large amount of data by sampling input files
  • Access 86 lectures & 15 hours of content 24/7
  • Write complex analytical queries on data in Hive & uncover insights
  • Leverage ideas of partitioning & bucketing to optimize queries in Hive
  • Customize Hive w/ user defined functions in Java & Python
  • Understand what goes on under the hood of Hive w/ HDFS & MapReduce
  • Access 41 lectures & 4.5 hours of content 24/7
  • Set up a database for your application using Hbase.
  • Integrate HBase w/ MapReduce for data processing tasks
  • Create tables, insert, read $ & delete data from HBase.
  • Get a complete understanding of HBase & its role in the Hadoop ecosystem.
  • Explore CRUD operations  in the shell, & with JAVA API
  • Access 34 lectures & 5 hours of content 24/7
  • Clean up server logs using Pig
  • Work w/ unstructured data to extract information, transform it, & store it in a usable form
  • Write intermediate level Pig scripts to munge data
  • Optimize Pig operations to work on large data sets