Data Warehouse Course Contents SQL
  • Database Concepts
  • Types of SQL statement
  • Normalization and denormalization
  • Sub queries
  • Joins and set operators
  • Database Objects
  • Constraints
  • Data Warehouse /Data Marts Architecture
  • Staging/without Staging
  • Dimensions (Simple and Confirm)
  • Fact (Simple, fact less, coverage, confirm)
  • Warehouse Implementation Methods
  • STAR SCHEMA
  • SNOW FLAKE SCHEMA
  • Difference between STAR and SNOW FLAKE Schema.
  • Other terminologies Cleansing, Purging etc.
  • Data Warehouse Concepts
  • Introduction of Data Warehouse
  • Need arise of DWH
  • OLTP V/S DWH
  • OLTP V/s OLAP
  • Data Warehouse /Data Marts Architecture
  • Staging/without Staging
  • Dimensions (Simple and Confirm)
  • Fact (Simple, fact less, coverage, confirm)
  • Warehouse Implementation Methods
  • STAR SCHEMA
  • SNOW FLAKE SCHEMA
  • Difference between STAR and SNOW FLAKE Schema.
  • Other terminologies Cleansing, Purging etc.
  • PL/SQL
  • Introduction to PL/SQL
  • Advantages of PL/SQL
  • Procedures, Functions, Triggers, Packages
  • Database Modeling Tool (Erwin)
  • Introduction of Erwin
  • Designing Methods
  • Logical Designing
  • Physical Designing
  • Introduction of ER-Modeling
  • Introduction of Dimension Modeling
  • Difference between ER-Modeling and Dimension Modeling
  • Implementation of ER-Model
  • Implementation of Dimension Model
  • Forward Engineering and Reverse Engineering
  • Introduction of various Database Components
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