Topic outline

  • Objectives

    • Gain a solid grasp of the core concepts of big data.
    • Extract valuable insights from vast datasets.
    • Effectively handle diverse and complex data sources.
    • Proficiently apply data mining techniques and tools.
    • Implement and leverage advanced big data technologies.
    • Make informed decisions through data analysis.
    • Drive meaningful outcomes in a technology-driven society.


  • Syllabus

    1. Big Data Introduction:

    • Big Data - History, Overview, and Characteristics
    • Definition
    • Benefits
    • Characteristics
    2. Big Data Technology - Overview:
    • Hadoop - Introduction, Usage, Concepts
    • MongoDB - Introduction, Features, Concepts
    3. Big Data - Privacy & Ethics:
    • Privacy - Compliance
    • Privacy - Challenges
    • Privacy - Approach
    • Ethics
    4. Sources for Big Data:
    • Enterprise Data Sources
    • Enterprise Systems
    • Oracle
    • SAP
    • Microsoft
    • Data Warehouses
    • Unstructured Data
    • Metadata
    5. Social Media Data Sources:
    • Introduction
    • Facebook - Introduction, Public Feed API, Keyword Insights API, Graph API
    • Twitter - Introduction, Streaming APIs, REST APIs
    • Other Social Media Sources
    6. Public Data Sources:
    • Introduction
    • Weather
    • Economics
    • Finance
    • Regulatory Bodies
    7. Data Mining - Concepts and Tools:
    • Data Mining - Introduction
    • Types of Data Mining - Overview
    • Classification
    • Association
    • Clustering
    • Weka
    • Modules of Weka Applications
    • KNIME
    • R Language
    8. Big Data Technologies - Hadoop:
    • Introduction
    • Main Components of Hadoop
    • Additional Components of Hadoop
    • How to Install and Configure
    • Map Reduce
    9. Data Processing with Hadoop:
    • Introduction
    • Twitter Sentiment Analysis - Overview & Algorithm
    • Network Log Analysis - Overview & Algorithm
    10. Big Data Technologies - MongoDB:
    • MongoDB Fundamentals
    • Install & Configure
    • Introduction
    • Replication
    • Sharding
    • Sharding and Replication
    • MongoDB Ecosystem - Languages and Drivers
    • MongoDB Ecosystem - Hadoop Integration
    • MongoDB Ecosystem - Tools
    11. Document Databases:
    • Introduction
    • Documents
    • Document Design Considerations
    • Fields


    • Benefits


       

      •  Gain a solid grasp of the core concepts of big data.
      •  Extract valuable insights from vast datasets.
      •  Effectively handle diverse and complex data sources.
      •  Proficiently apply data mining techniques and tools.
      •  Implement and leverage advanced big data technologies.
      •  Make informed decisions through data analysis.
      •  Drive meaningful outcomes in a technology-driven society.