Please find below the details of the Big data course scheduled of OCTOBER BATCHES in Bangalore. Click Here to access our website & REGISTER HURRY at http://bigdatabootcamp.in/ We are a group of J2EE/BigData Architects / Developers with demonstrated success in building and managing enterprise applications. We have proven expertise in the areas of Big Data, NLP, Cloud architecture and enterprise applications. Course Fee
The fee for the entire session is INR 21995 . This includes the cloud server access for testing cluster set up, the project with weekly calls with our developers for two weeks (after the 3 days session)
However we will provide you a corporate discount of INR 2000 So the final price for the course will be INR 19995. Reference Discount Structure Referring your colleagues and friends will get you attractive discounts. 3 to 5 delegates - INR 1000 off per delegate
6 to 7 delegates - INR 1500 off per delegate
8 to 10 delegates - INR 1750 off per delegate
10 Plus delegates - The Referrer gets to do the entire course for free OR INR 2000 Off for each candidate.
Course Outline Day 1 What is Big Data & Why Hadoop?
Hadoop Overview & it's Ecosystem
Big Data, Hadoop 2.x architecture
HDFS - Hadoop Distributed File System and YARN Architecture
Map Reduce Anatomy, Developing Map Reduce Programs
Advanced Map Reduce Concepts, Coding Project use cases - discussion - introduction. Day 2 Advanced Map Reduce Algorithms, Advanced Tips & Techniques
Setting up a Hadoop Cluster ( 2 Nodes - Both 1.2 & 2.3)
Monitoring & Management of Hadoop cluster.
Pig, Pig Latin, Pig with HDFS, UDF
Hadoop design patterns and architecture principles Project use cases - coding. Day 3 Sqoop, Importing and Exporting data using Sqoop
Hive - Hive Architecture & Coding
Flume - Use cases, Installation, practicals
Hbase - Architecture, CRUD, Scanning & Filters
Project Use Case Coding Post- training ( 2 Weeks ) This two weeks we will have calls to discuss the use cases progress / updates of the code and you will get to test the code on the real big data data set. We give a hadoop cluster to test the use cases.
We continue the engagement with the candidates on a project module. Few use cases will be completed in an interactive mode with our development team. The project will be tested on our cloud servers. |
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