Fundamentals of Big Data
Examining Big Data Types
Big Data Technology Components
Organizing Data Services and Tools
Operational Databases
Non-Relational Databases
Distributed File System
MapReduce Tasks (Matrix Multiplication)
Matrix Multiplication (Single Pass)
MapReduce Algorithms
MapReduce Extensions
Communication Cost Model
Complexity Theory of MapReduce
Multiway Join
Complexity Theory of MapReduce continuation
Mining Data Streams
Sampling Data in a Stream
Bloom's Filter
Counting Distinct Elements
Estimating Moments
Quiz question explanation
Counting of number of one's in a window
Decaying Windows
Decaying Window Example
Link Analysis
Efficient Computation of Page Rank
Introduction to Recommendation System
Content based recommendation
Dimensionality Reduction
Collaborative Recommendation
Mining Social Network Graphs
Clustering of Social Networking Graphs
Direct Discovery of Communities
Partitioning of Graphs
Overlapping Communities
SimRank
Unit 3 Review
Page Ranking with Damping Factor
Hadoop Fundamentals
Core Hadoop Components
Configuring and Running Hadoop
Moving Data in to Hadoop
Moving data out from Hadoop
Data Serialization in MapReduce
Modeling Data and Solving problems with graphs
Bloom Filter
