Course Duration in Hours
90
90
Our Big Data Hadoop training module is designed for Freshers , working professionals looking forward to make a career in Big Data
following lessons will be covered during training
Session 1: Big Data Introduction, Hadoop Architecture
In the first class, we understand the what, why, and how of Big Data. We study the value proposition of Big Data to the industry. We discuss briefly all the components that are part of the Hadoop eco system. Then we dive deep into architecture of Hadoop File System (HDFS) and Compute Engine Map Reduce
Session 2: Architecture Recap , Installation
The second session focuses on how to use Cloud Labs. Understanding HDFS & Map Reduce by using the online viewer of Cloud Labs, how to install Hadoop on a machine and on the cluster is what we study. This is accompanied by hands-on live demonstration
Session 3: MapReduce Framework
Here we discuss in the details Map Reduce in general. We discuss streaming job and demonstrate how to use streaming job. We then try to solve five problems of increasing difficulty using MapReduce
Session 4: Advance MapReduce, Testing
Session 5: Pig and Pig Latin
session 6: Pig Latin cont., Hive Basics
Session 7: Advance Hive, NoSQL Databases and HBase
Session 8: Advance HBase and ZooKeeper
Session 9: Apache Flume, Apache Sqoop, Oozie
Session 10: Comparisons of NoSQL DB, Project
any one
Vrittitech Solutions, Rajarajeshwari Nagar (Bangalore),Bangalore,IN