Course Details

Course Description Get trained in Big Data and Hadoop and get In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases.

What You will learn:

• Apache Hadoop, HDFS, and Hadoop Cluster Administration.
• Internals of Hadoop 2.0, YARN, MapReduce, and HDFS. Identifying the hardware and infrastructure for setting up Hadoop cluster.
• Plan, Deploy, Load Data and run applications in Hadoop cluster.
• Hadoop Cluster Configuration and Performance Analysis.
• Manage, Maintain, Monitor and Troubleshoot a Hadoop Cluster.
• Secure a deployment and understand Backup and Recovery. Administration of Oozie, Hive, and HBase.
• Backup options, diagnose and recover node failures in a Hadoop Cluster.
• The internals of MapReduce and HDFS and how to write MapReduce code Master the concepts of Hadoop Distributed File System and MapReduce framework Best practices for Hadoop development, debugging, and implementation of workflows and common algorithms How to leverage Hive, Pig, Sqoop, Flume, Oozie, and other Hadoop ecosystem projects Creating custom components such as WritableComparables and InputFormats to manage complex data types Writing and executing joins to link data sets in MapReduce Advanced Hadoop API topics required for real-world data analysis Learn to write Complex MapReduce programs Program in YARN.
• Perform Data Analytics using Pig and Hive Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing.
• Schedule jobs using Oozie.

Implement best Practices for Hadoop Development Implement a Hadoop Project Implement some Real world projects on Big Data Analytics Upon completion of the course, attendees receive a certificate from GlobalEdx. This certificate will be a great differentiator in this field by providing employers and customers a good evidence of your skills and expertise.