A self-paced course designed by Hadoop Experts to provide the knowledge and skills in the field of MapReduce Framework and help you to solve the use cases by using MapReduce concepts.
MapReduce is the underlying engine of Hadoop. The self-paced Comprehensive MapReduce course is designed for the learners to understand and implement various frameworks of MapReduce. The topics are explained using dedicated examples.
Course Objectives
After completion of the Comprehensive MapReduce course, you will be able to:
- Master the concepts of MapReduce framework
- Learn to write Complex MapReduce programs
- Program in YARN
- Program in MapReduce
Who should go for this course?
This course is designed for professionals aspiring to make a career in Big Data Analytics using MapReduce Framework. Software Professionals, Java Developers, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquiring a good understanding of MapReduce Framework can also opt for this course.
Pre-requisites
Some of the prerequisites for learning MapReduce include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in MapReduce.
Why learn Comprehensive MapReduce?
Today, when data is mushrooming and coming in heterogeneous forms, there is a growing need for a flexible, adaptable, efficient and cost-effective data analytics which will take minimum on-boarding time. Hadoop fits just perfect in this space and MapReduce being the underlying engine for Hadoop needs to be well understood.
Certifications
Towards the end of the course, you will be working on a project. Edureka certifies you as a Certified Comprehensive Pig Expert based on the project reviewed by our expert panel.
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