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Big Data Analytics Course Syllabus
Big Data Analytics Course Content
1. Overview of Big Data
This includes topics such as history of big data, its elements, career related knowledge, advantages, disadvantages and similar topics.
2. Using Big Data in Businesses
This module should focus on the application perspective of Big Data covering topics such as using big data in marketing, analytics, retail, hospitality, consumer good, defense etc.
3. Technologies for Handling Big Data
Big Data is primarily characterized by Hadoop. This module cover topics such as Introduction to Hadoop, functioning of Hadoop, Cloud computing (features, advantages, applications) etc
4. Understanding Hadoop Ecosystem
This includes learning about Hadoop and its ecosystem which includes HDFS, MapReduce, YARN, HBase, Hive, Pig, Sqoop, Zookeeper, Flume, Oozie etc.
5. Dig Deep to understand the fundamental of MapReduce and HBase
This module should cover the entire framework of MapReduce and uses of mapreduce.
6. Understanding Big Data Technology Foundations
This module covers the big data stack i.e. data source layer, ingestion layer, source layer, security layer, visualization layer, visualization approaches etc.
7. Databases and Data Warehouses
This module should cover all about databases, polygot persistence and their related introductory knowledge
8. Using Hadoop to store data
This includes an entire module of HDFS, HBase and their respective ways to store and manage data along with their commands.
9. Learn to Process Data using Map Reduce
This emphasizes on developing simple mapreduce framework and the concepts applied to it.
10. Testing and Debugging Map Reduce Applications
After the applications are developed, the next step is to test and debug it. This modules imparts this knowledge.
11. Learn Hadoop YARN Architechture
This module covers the background of YARN, advantages of YARN, working with YARN, backward compatibility with YARN, YARN Commands, log management etc.
12. Exploring Hive
This modules introduces you with all the necessary knowledge of Hive.
13. Exploring Pig
This modules introduces you with all the necessary knowledge of PIG.
14. Exploring Oozie
This modules introduces you with all the necessary knowledge of Oozie.
15. Learn NoSQL Data Management
This modules covers all about NoSQL including document databases, relationships, graph databases, schema less databases, CAP Theorem etc.
16. Integrating R and Hadoop and Understanding Hive in Detail
This module introduces you to RHadoop, ways to do text mining and related knowledge