CS8091 Syllabus Big Data Analytics
CS8091 Syllabus Big Data Analytics Regulation 2017 Anna University free download. Big Data Analytics Syllabus CS8091 pdf free download.
UNIT I INTRODUCTION TO BIG DATA CS8091 Syllabus Big Data Analytics
Evolution of Big data – Best Practices for Big data Analytics – Big data characteristics – Validating – The Promotion of the Value of Big Data – Big Data Use Cases- Characteristics of Big Data Applications – Perception and Quantification of Value -Understanding Big Data Storage – A General Overview of High-Performance Architecture – HDFS – MapReduce and YARN – Map Reduce Programming Model
UNIT II CLUSTERING AND CLASSIFICATION CS8091 Syllabus Big Data Analytics
Advanced Analytical Theory and Methods: Overview of Clustering – K-means – Use Cases – Overview of the Method – Determining the Number of Clusters – Diagnostics – Reasons to Choose and Cautions .- Classification: Decision Trees – Overview of a Decision Tree – The General Algorithm – Decision Tree Algorithms – Evaluating a Decision Tree – Decision Trees in R – Naïve Bayes – Bayes‘ Theorem – Naïve Bayes Classifier.
UNIT III ASSOCIATION AND RECOMMENDATION SYSTEM CS8091 Syllabus Big Data Analytics
Advanced Analytical Theory and Methods: Association Rules – Overview – Apriori Algorithm – Evaluation of Candidate Rules – Applications of Association Rules – Finding Association& finding similarity – Recommendation System: Collaborative Recommendation- Content Based Recommendation – Knowledge Based Recommendation- Hybrid Recommendation Approaches.
UNIT IV STREAM MEMORY 9 CS8091 Syllabus Big Data Analytics
Introduction to Streams Concepts – Stream Data Model and Architecture – Stream Computing,
Sampling Data in a Stream – Filtering Streams – Counting Distinct Elements in a Stream – Estimating
moments – Counting oneness in a Window – Decaying Window – Real time Analytics Platform(RTAP) applications – Case Studies – Real Time Sentiment Analysis, Stock Market Predictions. Using Graph Analytics for Big Data: Graph Analytics
UNIT V NOSQL DATA MANAGEMENT FOR BIG DATA AND VISUALIZATION CS8091 Syllabus Big Data Analytics
NoSQL Databases : Schema-less Models‖: Increasing Flexibility for Data Manipulation-Key Value Stores- Document Stores – Tabular Stores – Object Data Stores – Graph Databases Hive – Sharding –-
Hbase – Analyzing big data with twitter – Big data for E-Commerce Big data for blogs – Review of Basic Data Analytic Methods using R.
| Subject name | Big Data Analytics |
| Short Name | BDS |
| Semester | 6 |
| Subject Code | CS8091 |
| Regulation | 2017 regulation |
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