Thank you for taking time and exploring opportunity with BigDataHub. We are a group of working professionals delivering Hadoop and Spark Training's out of passion. I hope that we can help you to drift your career to BigData. Feel free to call back. Some of the highlights of the course are given below.

(1) 90 hours of training out of which 45+ hours of hands-on.
(2) Trainer have 6+ years of industry experience and 4+ years of teaching experience.
(3) So far, training are delivered to 1000+ working professionals.
(4) 25 students/batch and 6 month assistance post completion of the course.
(5) Study material will be given along with exercises and interview questions for every module.
(6) Placement assistance will be provided based on the candidature.

Course Highlights

80+ hours (including 40+ hours hands-on)

Hadoop Introduction | Hadoop Architecture and Components | Hadoop Cluster Setup | HDFS | YARN | MapReduce | MapReduce Algorithms | MapReduce Best Practices | Managing Hadoop Cluster | Pig | Hive | HBase | Sqoop | Oozie | Flume | Zookeeper | Hadoop Ecosystem components

Hadoop Introduction (12 hours)

Motivation for Hadoop and NoSQL (Big Data, Scalability, Problems with Traditional Systems, Distributed Systems) | An Overview of Hadoop | Comparison with SQL Databases/ Data Warehouses/ Other Distributed Systems | Hadoop Distributed File System | MapReduce Programming model | Yarn – Resource Management | Hadoop Common Utilities | Hadoop 1.0 Vs Hadoop 2.0 | Hadoop Ecosystem Components

Please visit http://www.bigdatahub.org/ for more details.