Thanks for applying for scholarship test.
Our career counsellor will inform you soon regarding the test details.
MapReduce originally referred to the proprietary Google technology
Companies like Twitter, LinkedIn, AOL, EBay and Alibaba use MapReduce
The average pay stands at $61,346 per year - Indeed.com
Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
Learn Big Data Live Online from top industry professionals
Interactions with an Live Expert, get your doubts cleared in Real Time.
Access to World Class Instructors, from anywhere
Your guide from Edureka, to ensure you achieve your learning goals.
Live course assures 6 times more probability of getting certified
Big Data Hadoop Certification Training
Apache Spark and Scala Certification Tra...
Python Spark Certification Training usin...
Learning Objectives - In this module, you will understand Hadoop MapReduce framework and the working of MapReduce on data stored in HDFS. You will learn about YARN concepts in MapReduce.
Topics - MapReduce Use Cases, Traditional way Vs MapReduce way, Why MapReduce, Hadoop 2.x MapReduce Architecture, Hadoop 2.x MapReduce Components, YARN MR Application Execution Flow, YARN Workflow, Anatomy of MapReduce Program, Demo on MapReduce.
Learning Objectives - In this module, you will understand concepts like Input Splits in MapReduce, Combiner & Partitioner and Demos on MapReduce using different data sets.
Topics - Input Splits in MapReduce, Combiner, Partitioner, Demos on MapReduce.
Learning Objectives - In this module, you will learn Advance MapReduce concepts such as Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format and how to deal with complex MapReduce programs.
Topics - Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format.
I have taken two courses (Informatica and Teradata) through Edureka. I think this is best online training platform that I had ever taken. I am very happy for getting trained from EDUREKA. The overall course is very much organized (Awesome). All the labs were on real time solution. After the training, I was confident to pursue my career in informatica and with a month I got a full time opportunity as a informatica developer. There was separate interview preparation session which really helps me to crack the informatica interview. Next, I am planning to take Big Data class. My overall experience with the edureka was awesome. I highly recommend everyone to join Edureka whoever is interested in learning online. Thank you Edureka!!
I have taken Informatica, Hadoop, R-programming, Spark and Scala and several other training's from past 3 years. There is no way to say that these courses are bad.. this is the exceptional institute with so many senior people who spend lot of their efforts for a cause. Because i know the pain as a trainer as well. Hats off to to team and the person who started edureka. I'm posting my personal experience and i do lot of social service. Good luck to others.
Thanks a lot for your Android course. Right from the point of the start of the demo class, until the end of the complete course, the ride has been truly joyous and full of learning . I had no insight into Android development but with the help of your excellent instructor, I now stand a chance to explore wider into this. The webinars were truly awesome. Live Online sessions were highly interactive. The edureka! methodology for Online classes has changed the way I look at webinars now. Plus point is the knowledgeable course material. I am falling short of words describing the great experience of my Android training at edureka!. Thanks Team edureka!
I attended the demo session without any intention of joining a course. But the demo class was so impressive that I changed my mind to take a class with edureka. In the demo class the edureka! team making their word true with assisting doubts as well as teaching good. It's the best place to learn Andorid with 24*7 post class support from technical experts and at a affordable cost. Thank You Team edureka!
Edureka has very good instructors and technical support team, I have completed the course BIG DATA & AWS through web training, and it was very good training, helped me to learn very swiftly. When I stuck up in installation and in writing map reduce programming technical support resolved very quickly and I was very happy with their response in time. As well as they providing life time access for our completed course videos so it will be useful in real time projects. I feel very happy to recommend Edureka for my friends on big data course.
Edureka is Best Online training in throughout my career (11 years). I subscribed for DevOps and course is well organized and will get hands by just following PPT, Videos and Lab exercises (Before they launch any course they do lot of home work). Best thing about Edureka is when you stuck while doing Lab exercises just mail to support team, they will call and guide to solve it for sure. It has excellent trainers and support team with 24x7 support.
Towards the end of the Course, you will be working on a live project where you will be using PIG to perform Big Data analytics. Here are the few Industry-wise Big Data case studies that you will work on:
Project #1: Analysing Aadhar Card Data
Industry: Government Sector
Data: The data set consists of the following fields: State:This field consists of the state names from all over India City:This field consists of city names in all states Approved:This field consists of the total count of approved cards in numbers Rejected:This field consists of the total count of rejected cards in numbers
Problem Statement: Below are few of the problem statements that we have chosen to work on this data set: 1.Find out the total number of cards approved by states. 2.Find out the total number of cards rejected by states. 3.Find out the total number of cards approved by cities. 4.Find out the total number of cards rejected by cities.
Project #2: Analysis of Afghan War Diaries
Industry: Government Sector
Data: The data was written by soldiers and intelligence officers of the United States Military. To keep it simple, we will analyse only four of the available columns (Type, Category, Region and Attack On) in the data set.
Problem Statement: Below are few of the problem statement that we have chosen to work on this data set: 1.To examine all the events that involve explosive hazards. 2.To examine explosive events that involves Improvised Explosive Devices (IEDs).
Get a Glimpse of the course