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Processing Big Data With Hadoop

HSR Layout, Bangalore

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About the Course


This comprehensive course will provide competent Java developers with the skills necessary to exploit the extended capabilities of Apache Hadoop. The course commences with a grounding in the relevant core technologies:
*Big fast data, NoSQL and their role in modern business applications
*Background on Hadoop
*An overview of Spring and Big Data

Topics Covered

1. Course Introduction
2. Introduction to NoSQL
3. Introduction to Hadoop
4. Hadoop Distributed File System
5. Indepth Map Reduce
6. Spring Data Hadoop
7. Streaming MapReduce, Pig and Hive
8. CommandCenter and Hive
9. Introduction to the DataLoader
10. Extra Topics

Who should attend

Developers, Architects, System Integrators & Admins

Pre-requisites

*Comfort with Java programming and data technologies a plus
*Have a basic understanding of virtualization concepts

What you need to bring

Laptop

Key Takeaways

1. Course Introduction
2. Introduction to NoSQL
3. Introduction to Hadoop
4. Hadoop Distributed File System
5. Indepth Map Reduce
6. Spring Data Hadoop
7. Streaming MapReduce, Pig and Hive
8. CommandCenter and Hive
9. Introduction to the DataLoader
10. Extra Topics
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About the Trainer

TBA

B.Tech, M.Tech


The trainer is an expert and has 12+ years of exhaustive experience in the IT industry with vast exposure to designing and developing applications. He is able to create rich, interactive and lively learning experience. His ability to powerfully communicate complex
technology concepts to audiences of various levels is highly appreciated by his trainees and training managers. Global giants, such as Nokia, IBM, Sun, Capgemini, GE, Sap Labs, Accenture, HP, NSN, Honeywell etc have benefited from his training deliveries, and keep coming back for repeated deliveries.
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Course Id: 21359