CS8091 Big Data Analytics Syllabus Notes Question Banks with answers

CS8091 Big Data Analytics Syllabus Notes Question Paper Question Banks with answers Anna University

Anna University Big Data Analytics Syllabus Notes Question Bank Question Papers Regulation 2017

Anna University CS8091 Big Data Analytics Notes are provided below. CS8091 Notes all 5 units notes are uploaded here. here CS8091 Big Data Analytics notes download link is provided and students can download the CS8091 BDA Lecture Notes and can make use of it.

CS8091 Big Data Analytics Syllabus Regulation 2017

UNIT I INTRODUCTION TO BIG DATA

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

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

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

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

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.

Click below link to download Big Data Analytics Syllabus Notes Question papers Question Banks 2 marks with answers Part B Questions with answers download.
CS8091 Notes, question bank, 2 marks with answers download (all in one)- Click here
CS8091 Notes 2 link download - Click here
If you have any problem in downloading the above material, you can comment below.
Other useful links:
Anna University internal Marks Out of 20 check here
Anna University Notes download for all Department - Click here to download
Anna University Previous year Question Paper Collections - Click Here
Check Anna University results updates
UG Syllabus regulation 2017 - Click here
PG Syllabus regulation 2017 - Click here
Anna University Result date - Click here to check
Search by students
CS8091 Big Data Analytics Regulation 2017 notes
Anna university UG Notes
Anna University Regulation 2017 Notes Syllabus
Regulation 2017 Syllabus Notes Anna University
CS8091 Big Data Analytics Notes Syllabus
CS8091 Big Data Analytics Notes
CS8091 Big Data Analytics Syllabus
CS8091 Big Data Analytics Question papers
CS8091 Big Data Analytics Question Bank