CS8091 Big Data Analytics

** CS8091 Big Data Analytics MCQ Multi Choice Questions, **Lecture Notes, Books, Study Materials, Question Papers, Syllabus

**with answers**

**Part-A 2 marks**

**CS8091 Big Data Analytics****MCQ Multi Choice Questions,**

**Important**

**Subjects****, PDF Books, Question Bank with answers Key And MCQ Question & Answer, Unit Wise Important Question And Answers, One Mark Question With Answers, Choose The Best Answer.**

**Part-B 16 marks Questions**Download link is provided for Students to download the Anna University **CS8091 Big Data Analytics**** MCQ Multi Choice Questions,**** ****Lecture Notes, Books, Study Materials, Question Papers,****Syllabus**** Part A 2 marks with answers & Part B 16 marks Question, Question Bank with answers**,

**MCQ Question & Answer, Unit Wise Important Question And Answers, One Mark Question With Answers, Choose The Best Answer.**All the materials are listed below for the students to make use of it and score good (maximum) marks with our study materials.

Subject Details

SEMESTER : |
07 |

SUBJECT CODE : |
CS8091 |

SUBJECT NAME : |
Big Data Analytics |

DEPARTMENT : |
Computer Science and Engineering (CSE) |

YEAR : |
Final Year (IV Year) |

REGULATION : |
2017 |

CONTENT : |
Syllabus, Lecture Notes, Important Part-A 2 Marks Questions and Important Part-B 13 & Part-C 15 Mark Questions, Previous Years Question Papers Collections and Question Banks. |

FORMAT: |

*“CS8091 Big Data Analytics Notes, Lecture Notes Previous Years Question Papers”*

**“CS8091 Big Data Analytics MCQ Multi Choice Questions”***“CS8091 Big Data Analytics Important 13 marks Questions with Answers”*

*“CS8091 Big Data Analytics Important 15 marks Questions with Answers”*

*“CS8091 Big Data Analytics Important 2 marks Questions with Answers”*

*“CS8091 Big Data Analytics Important Part A, Part B & Part C Questions”*

*“CS8091 Big Data Analytics Syllabus, Local Author Books, Question Banks”*

**CS8091 Big Data Analytics MCQ Multi Choice Questions, Lecture Notes & Part-A, Part-B & Part-C Important Questions with Answers**

## Syllabus

CS8091 Big Data Analytics

**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 the Below link ****“DOWNLOAD”**** to save the Book/Material (PDF)**

CS8091 Big Data Analytics MCQ Collection

**CS8091 MCQ Collection 01 – DOWNLOAD**

### Students Searching Keywords:

- Anna University Regulation 2017
**CS8091 Big Data Analytics**Lecture Notes. - Regulation 2017
**CS8091 Big Data Analytics**Syllabus. - Regulation 2017
**CS8091 Big Data Analytics****Part A**2 marks with answers. - Regulation 2017
**CS8091 Big Data Analytics Part B**13 marks Questions with answers. - Regulation 2017
**CS8091 Big Data Analytics Part C**15 marks Questions with answers. - Regulation 2017 Anna University
**CS8091 Big Data Analytics**Question Papers Collection. **CS8091 Big Data Analytics MCQ Multi Choice Questions**