[MU] Computer Engineering Semester-VII

Module 1 : Introduction to Big Data and Hadoop

(Priority 1):

     1. Hadoop , Ecosystem , Core Components , Physical Architecture + HDFS
     2. What is Big Data , 3V Characteristics , Traditional vs BDA

Module 2 : Hadoop HDFS and MapReduce

(Priority 1):

     1. What is Map Reduce , Role of Combiner with Example
     2. Pseudo Code for Matrix Multiplication with Example using Map reduce

Module 3 : NoSQL

(Priority 1):

     1. No SQL database architecture Pattern
     2. Base Properties of NOSQL

Module 4 : Mining Data Streams:

(Priority 1):

     1. Data Stream Query with Example [ One time , Continues , Pre-Define , Adhoc ]
     2. DGIM Algorithm for Counting 1's
     3. How to Count Distinct Element in a Stream + FM algorithm
     4. Data stream management System with Block Diagram
     5. What are the challenges in clustering of Data streams. Explain stream clustering algorithm in detail.
     6. Bloom Filter

Module 5 : Finding Similar Items and Clustering

(Priority 1):

     1. Distance Algorithm
     2. Cure Algorithm

Module 6 : Real-Time Big Data Models

(Priority 1):

     1. Recommended System [ Collaborative filtering and How its Different from Content Based ]
     2. Community in Social graph [Girvan Newmen]
     3. Modify Page Rank and Spider Trap avoid
     4. World wide web [ Specific Page Rank and Bow tie ]