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Course - Big Data Computing - NPTEL

  • Dr. Rajiv Mishra
  • CSE - IIT, Patna

Syllabus​

  • Week 1
    • Introduction to Big Data
    • Big Data Enabling Technologies
    • Big Data Hadoop Stack
  • Week 2
    • HDFS
    • Hadoop MapReduce 1.0
    • Hadoop MapReduce 2.0
    • MapReduce Examples
  • Week 3
    • Parallel Programming with Spark
    • Introduction to Spark
    • Spark Built-in Libraries
    • Design of Key-Value Stores
  • Week 4
    • Data Placement Strategies
    • CAP Theorem
    • Consistency Solutions
    • CQL (Cassandra Query Language)
    • Design of Zookeeper
  • Week 5
    • Design of HBase
      1. What is HBase?
      2. HBase Architecture
      3. HBase Components
      4. Data model
      5. HBase Storage Hierarchy
      6. Cross-Datacenter Replication
      7. Auto Sharding and Distribution
      8. Bloom Filter and Fold, Store, and Shift
    • Spark Streaming and Sliding Window Analytics
    • Sliding Window Analytics
    • Introduction to Kafka
  • Week 6
    • Big Data Machine Learning 1
      • Overview
      • Categories of ML Techniques
    • Big Data Machine Learning 2
    • Machine Learning Algorithm K-means using Map Reduce for Big Data Analytics
    • Parallel K-means using Map Reduce on Big Data Cluster Analysis
    • Decision Trees
    • Predictive Analytics 1
    • Predictive Analytics 2
    • Parameter Servers
    • Page Rank
    • Spark GraphX 1
    • Spark GraphX 2
    • Case Study