Description
Seller-provided details for this listing.
Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Hadoop Cluster, Map-Reduce, Hbase Zookeeper etc. will be covered in the course.
NEW!
We have upgraded our 'Big Data and Hadoop' course to include latest Hadoop Release 2.0. Our course now covers Hadoop Application Development using Next Generation MapReduce (YARN or MRv2). We also cover Application Development, Error Handling and Troubleshooting in MRv2. The advance features in new Hadoop release -- NameNode High Availability, HDFS Federation, Support for windows etc., are covered in detail in the upgraded course.
Course Objectives
After the completion of the Big Data and Hadoop Course at Edureka, you should be able to:
Master the concepts of Hadoop Distributed File System and MapReduce framework
Setup a Hadoop Cluster
Understand Data Loading Techniques using Sqoop and Flume
Program in MapReduce
Learn to write Advance MapReduce programs
Program in YARN (MRv2)
Perform Data Analytics using Pig and Hive
Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing
Have a good understanding of ZooKeeper service
Implement best Practices for Hadoop Development and Debugging
Implement a Hadoop Project
Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience
Who should go for this course?
This course is designed for professionals aspiring to make a career in Big Data Analytics using Hadoop Framework. Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a solid foundation of Hadoop Architecture can also opt for this course.
Pre-requisites
Some of the prerequisites for learning Hadoop include hands-on experience in Core Java and good
NEW!
We have upgraded our 'Big Data and Hadoop' course to include latest Hadoop Release 2.0. Our course now covers Hadoop Application Development using Next Generation MapReduce (YARN or MRv2). We also cover Application Development, Error Handling and Troubleshooting in MRv2. The advance features in new Hadoop release -- NameNode High Availability, HDFS Federation, Support for windows etc., are covered in detail in the upgraded course.
Course Objectives
After the completion of the Big Data and Hadoop Course at Edureka, you should be able to:
Master the concepts of Hadoop Distributed File System and MapReduce framework
Setup a Hadoop Cluster
Understand Data Loading Techniques using Sqoop and Flume
Program in MapReduce
Learn to write Advance MapReduce programs
Program in YARN (MRv2)
Perform Data Analytics using Pig and Hive
Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing
Have a good understanding of ZooKeeper service
Implement best Practices for Hadoop Development and Debugging
Implement a Hadoop Project
Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience
Who should go for this course?
This course is designed for professionals aspiring to make a career in Big Data Analytics using Hadoop Framework. Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a solid foundation of Hadoop Architecture can also opt for this course.
Pre-requisites
Some of the prerequisites for learning Hadoop include hands-on experience in Core Java and good