Big Data Hadoop - HBase, Pig, and Hive
Big Data Hadoop - HBase, Pig, and Hive
Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organisations, and sensors. Explain the 5 V’s of Big Data (Volume, Velocity, Variety, Veracity, and Value) and why each impacts data collection, monitoring, storage, analysis and reporting. Identify what is and what isn’t a big data problem and be able to recast big data problems as data science questions. Summarise the features and value of Hadoop, the HDFS file system and the MapReduce programming model. Install and run a programme using Hadoop! Learn HBase, Pig and Hive.
| Course Duration | Course Fees |
|---|---|
| 35 hours | 2000 |
Prerequisite
Basic knowledge of core Java, Database and Linux Operating System Course Content
Big Data
Introduction
Hadoop
Introduction
Hadoop
Installation
HDFS
Operations
HDFS
Introduction
Map Reduce
Introduction
Map Reduce
Programme
Semi-structured and
Unstructured Data
Processing
in Hadoop
HBase
Pig
Opportunities and Skillset
Data Scientist Data Analyst Big Data Project Lead Big Data Consultant Data Engineer Professional Big Data Engineer Data Architect Hadoop Developer Hadoop Architect Hadoop Administrator Hadoop Engineer 
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Railway Station 
GSRTC Bus Port 
