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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
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Big Data Hadoop Certification Training
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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 really had overwhelming experience with edureka. I was looking for class room training for AWS course. But the edureka representative explained me the advantageous of the online program that they are providing. Best part about it is, they provided all the class room recordings and in future you can attend the online classes of the same course again WITHOUT any additional cost. This is awesome. I really recommend edureka training programs for career growth. I am sure you will fell the same, if you are part of edureka.
My experience with edureka about Python is much impressed, with such quality of the training. We get access to each day class recorded sessions after the live class. Edureka is very quick reactive towards the queries of each single user, they answer and follow-up to ensure you get the correct response to resolve your query. Online recording of the course is very useful as you can go back and refer at any time. You have access to course and materials for ever, which is really helpful. More over 24/7 quality support, which is very much important to any of us. I must thank to Edureka for giving such support. Thanks guys, cheerÃ¢â¬Â¦
I have taken 3 courses (Hadoop development, Python and Spark) in last one year. It was an excellent learning experience, most of the instructors were very interactive and having extensive industry knowledge. The support team is highly professional, always ready to assist you and let you chose your classes based on your own availability. The Learning Management System(LMS) is great. and good thing is that you would get Lifetime access to all the course that you have registered. Apart from courses and instructors, Edureka support is excellent as they provide quick resolution to any issues(example VM setup. cluster connectivity issues and etc) . If you are looking for Big Data related courses then Edureka is the right place.
I am a Customer at Edureka. I attended the AWS Architect Certification Training, I found the training to be very informative. The course content was excellent, just what I was after. The trainer was very knowledgeable. I found him to be very patient, he listened and answered everyone's questions. I especially liked the way he repeated and summarised the previous day's leanings at the start of each new day. I also liked his interactive style of training. Edureka demonstrated the highest standard of professionalism in delivering the course content and their support to me in helping complete the project has been exceptional. Thanks Edureka!
Edureka has redefined the e-learning service with the help of technology. They have excellent faculty and support team that has given a real class room learning experience. Anybody can upgrade their skills at their convenience! Edureka has expertise in Big Data Analytics and they are providing opportunity to acquire these skills in a short time!
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.
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).