Hadoop & Map Reduce

Learn the skill sets to tackle huge advent of data. Create the right infrastructure to run big data sets

Next Batch Starts on 27rd Sep 2014

What you will learn

History evaluation of Big Data , Functional Programming, Master-slave Architecture of Hadoop, Function and Significance of Hadoop components, Learn and understand Map Reduce and HDFS API, Function of Partitioner and combiner, Map and Reduce side join , Hadoop family and friend, HIVE, Pig, NoSQL Databases.

  • World Class instructors
  • Project based courses
  • Assisted learning
  • Industry vetted curriculum
  • Job opportunities

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Module One The Rise of big data

How did big data come into prominence? What constitutes Big Data? Who are the main players in the space? Functional Programming is a paradigm which has gained a lot of importance in the past few years, with the rise of Hadoop it has another adopter.

  • Duration: 6 hours

Module Two Making Friends with Hadoop

Hadoop has a number of components, each having its own function and significance. They all go in to create a fault tolerant distributed processing system.Hadoop has a native Java API and astreaming API. The native Java API enables the programmer complete control over the Map Reduce job workflow.

  • Duration: 6 hours


Hadoop has a through API for tweaking the various aspects of a mapreduce program. From creating your own Input data type extending the Writable interface to creating ones own ‘key’ type. Summarization involves finding a set of statistics about the data set which tell us clues about its nature. Filtering is used to find a predefined subset of the entire data set. Joins enable the analyst to correlate quantities between two different data sets in order to gain a larger perspective.

  • Duration: 6 hours

Module Four Meet Hadoop’s Friends & Family

Hadoop can be leveraged by learning about the gamut of Apache projects that were built around it.Get an overview about all the members of the Hadoop ecosystem and understand the use case of each.

  • Duration: 6 hours

Module FiveHive

Hive is a data warehousing framework residing on top of hadoop used for distributed storage and adhiv querying of data.Hive offers a robust query language which enables basic CRUD operations on database tables along with joins.

  • Duration: 6 hours

Module SixPIG

Apache Pig, or Pig Latin is a data processing language which was developed at Yahoo! as a way to simplify the effort required to carry out common data processing tasks which would be otherwise cumbersome in the Java API.

  • Duration: 6 hours

Module Seven NoSQL - New Age Databases

The NoSql paradigm has taken the analytics field by storm. NoSQL based databases now power some of the most popular web services in the world. It has developed into a deep and interesting application area. We focus on MongoDB and Neo4j and how to use their data models for storing data sets.

  • Duration: 6 hours

Module Eight Demo Day

This module is dedicated to showcasing the completed projects undertaken by the student groups. Also any remaining doubts/questions

  • Duration: 6 hours

How does your certification work?

We provide the following certificates:
Certification of Completion - Score < 70%.
Certification of Distinction - Score > 70%
The grading will depend on class participation, project completion, and instructor feedback. Students with distinction will be showcased on our blog. In addition, they will get access to hiring partners and will be eligible for scholarships.

What is assisted learning?

In addition to our star instructors, we also provide coaches and teaching assistants. They will help you in setting up the environment, provide feedback on your assessments, and any help you need to complete the course and projects. All our teaching assistants are certified and available to help you anytime.

What is the Money Back Guarantee?

We ensure a great learning experience. If you are not happy with the course, you can get a guaranteed refund as long as you request it within 7 days of the course start date.

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