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Description 0

What you’ll Learn:

Key issues in big data management and its associated applications for business decisions and strategy.
Develop problem solving and critical thinking skills in fundamental enabling techniques like Hadoop, Mapreduce and NoSQL in big data analytics.
Interpret business models and scientific computing paradigms.
Perspectives of big data analytics in various applications.

This course provides an overview of an exciting growing field of big data analytics. Also, it maps the learner through introduction to programming skills to build simple solutions using big data technologies.
Fundamental techniques and principles in achieving big data analytics with scalability and streaming capability.

Join in to learn Big Data Analytics , equally important from the academic as well as real-world knowledge.

Modules Covered:

Introduction to Big Data and Hadoop.
Hadoop HDFS and MapReduce
NoSQL
Mining Data Streams
Finding similar and clustering
Real-Time Big Data models

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Introduction to Big Data and Hadoop 3
- Lecture3.1
  
  Introduction to Big Data Analytics 07 min
- Lecture3.2
  
  Introduction to Hadoop Part #1 10 min
- Lecture3.3
  
  Introduction to Hadoop Part #2 10 min
Hadoop HDFS and Map Reduce 2
- Lecture4.1
  
  Introduction to MapReduce 11 min
- Lecture4.2
  
  Matrix Multiplication 16 min
NoSql 1
- Lecture5.1
  
  Introduction to No SQL Database 08 min
Mining Data Streams 3
- Lecture6.1
  
  Bloom Filtering 18 min
- Lecture6.2
  
  Flajolet Martin Algorithm 14 min
- Lecture6.3
  
  DGIM algorithm (Datar-Gionis-Indyk-Motwani Algorithm) 09 min
Finding Similar Items and Clustering 9
- Lecture7.1
  
  Distance Measure 09 min
- Lecture7.2
  
  Euclidean Distance 08 min
- Lecture7.3
  
  Jaccard Distance 06 min
- Lecture7.4
  
  Cosine Distance 07 min
- Lecture7.5
  
  Edit Distance 10 min
- Lecture7.6
  
  Hamming Distance 05 min
- Lecture7.7
  
  Cure Algorithm 11 min
- Lecture7.8
  
  Random Sampling 18 min
- Lecture7.9
  
  PCY Algorithm(Park , Chen , Yu ) 20 min
Real Time Big Data Model 4
- Lecture8.1
  
  Collaborative Filtering 20 min
- Lecture8.2
  
  Authority and hub 21 min
- Lecture8.3
  
  Dead Ends 04 min
- Lecture8.4
  
  Clique and Community 14 min
Notes 6
- Lecture9.1
  
  Module 1
- Lecture9.2
  
  Module 2
- Lecture9.3
  
  Module 3
- Lecture9.4
  
  Module 4
- Lecture9.5
  
  Module 5
- Lecture9.6
  
  Module 6