Course Duration: 30-35 hours Training + Assignments + Actual Project Based Case Studies
Training Materials: All attendees will receive,

• Assignment after each module, Video recording of every session
• Notes and study material for examples covered.
• Access to the Training Blog & Repository of Materials

Audience:
This course is designed for anyone who is:

• Wanting to architect a project using Hadoop and its Eco System components.
• Wanting to develop Map Reduce programs
• A Business Analyst or Data Warehousing person looking at alternative approach to data analysis and storage.

Pre-Requisites:

• The participants should have at least basic knowledge of Java.
• Any experience of Linux environment will be very helpful.
• We will provide you with Pre-recorded Videos of Core Java if you need.

Advantages of Hadoop online:
An online Hadoop tutorial designed by Hadoop experts provide you the knowledge and skills in the field of Big Data and Hadoop and train you to become a successful Hadoop Developer. SICL America’s Big Data Hadoop online training is the first of its kind providing the best-in-class online Hadoop tutorial and is ideal for all aspiring professionals who wants to make their career in Big Data Analytics using Hadoop Framework and master all the concepts. Towards the end of the Hadoop course, you will be working on assignments, live case studies, Hadoop interview questions and Big Data Hadoop Certification sample test.

Training Format:
This course is delivered as a highly interactive session, with extensive live examples. This course is Live Instructor led Online training delivered using Cisco Webex Meeting center Web and Audio Conferencing tool.
Timing: Weekdays and Weekends after work hours.
Training Highlights

• Focus on Hands on training
• 30 hours of Assignments, Live Case Studies
• Video Recordings of sessions provided
• Demonstration of Concepts using different tools.
• One Problem Statement discussed across the Whole training program.
• HADOOP Certification Guidance.
• Resume prep, Interview Questions provided.
• Introduction to HADOOP and BIG DATA