AL-802 (C) · Big Data Analytics/Official Syllabus
Big Data Analytics (AL-802 (C)) - Official Syllabus
1
Unit 1
Introduction to Big data
- Introduction to Big data, Big data characteristics
- Types of big data
- Traditional Versus Big data
- Evolution of Big data
- challenges with Big Data
- Technologies available for Big Data
- Infrastructure for Big data
- Use of Data Analytics
- Desired properties of Big Data system
2
Unit 2
Introduction to Hadoop
- Introduction to Hadoop, Core Hadoop components
- Hadoop Eco system, Hive Physical Architecture
- Hadoop limitations
- RDBMS Versus Hadoop
- Hadoop Distributed File system
- Processing Data with Hadoop
- Managing Resources and Application with Hadoop YARN
- Map Reduce programming
3
Unit 3
Introduction to Hive and Pig
- Introduction to Hive Hive Architecture
- Hive Data types
- Hive Query Language
- Introduction to Pig, Anatomy of Pig
- Pig on Hadoop, Use Case for Pig
- ETL Processing
- Data types in Pig running Pig
- Execution model of Pig, Operators, functions, Data types of Pig
4
Unit 4
Introduction to NoSQL
- Introduction to NoSQL
- NoSQL Business Drivers
- NoSQL Data architectural patterns
- Variations of NOSQL architectural patterns using NoSQL to Manage Big Data
- Introduction to Mango DB
5
Unit 5
Mining social Network Graphs
- Mining social Network Graphs: Introduction Applications of social Network mining
- Social Networks as a Graph
- Types of social Networks
- Clustering of social Graphs Direct Discovery of communities in a social graph
- Introduction to recommender system
Reference Books
- Distributed and Cloud Computing
- Big Data Big Analytics
- Big Data Analytics
- Big Data and Analytics
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