Big Data Hadoop – HBase, Pig and Hive
I am Interested
- Course Duration35 Hours
- Course Fees`2000
Course Features
- Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors.
- Explain the V’s of Big Data (volume, velocity, variety, veracity, and value) and why each impacts data collection, monitoring, storage, analysis and reporting.
- Identify what are and what are not big data problems and be able to recast big data problems as data science questions.
- Summarize the features and value of Hadoop, the HDFS file system and the MapReduce programming model.
- Install and run a program using Hadoop!
- Learn HBase, Pig and Hive.
Prerequisite(basic knowledge before doing it)
- 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 Program
- Semi –structured and unstructured data
- Processing in Hadoop
- HBase
- Pig
Career Opportunity/Skillset/Outcome
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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