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Event Details
Understanding the architecture of Hadoop and its Ecosystem is one of the first steps one can take to start learning, working with and implementing Hadoop & BigData Analytics solutions.
This course is designed to provide just that.
In this course, we will teach the students to transition from current-world RDBM based structured data management to the file based and unstructured database world of Hadoop. We will get into the specifics of key parts of the Hadoop architecture, Hive, Pig and Map Reduce Programming with use cases.
The hands-on labs will cover exploring various Hadoop components like Namenode, Jobtracker, etc, working with the HDFS, creating table in Hive and loading data into it, ETL using Pig and fundamentals of Map Reduce program. We will be using Olympic 2012 Twitter data for our labs.
We will be using Real Hadoop Clusters delivered by ClustersToGo.com
Prerequisites
Basic Linux command line skills, DB knowledge. MPP architecture knowledge is a plus.
Audience
Developers, IT Administrators, Managers, Analysts, Data Scientist
Recommended Readings
- O'Reilly's ‘Hadoop’ book by Tom White
Course Duration:
2 hours class on August 16th, 2012, Santa Clara. Contact 408 306 8462
Start Time : 3pm; End Time : 6pm
Class Location:
Third Eye CSS
3200 Coronado Dr, Santa Clara, CA
408 306 8462
When & Where
BigDataCloud Training Center
3200 Coronado Dr,
Santa Clara,
CA 95054
Thursday, August 30, 2012 from 3:00 PM to 5:00 PM (PDT)
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