Design and Build a Data Warehouse for Business Intelligence Implementation

This course is part of Data Warehousing for Business Intelligence Specialization

Instructors: Michael Mannino +1 more

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Skills you'll gain

  •   MicroStrategy
  •   Data Transformation
  •   Analytical Skills
  •   Extract, Transform, Load
  •   Database Design
  •   PostgreSQL
  •   Data Warehousing
  •   Business Intelligence
  •   Dashboard
  •   Data Architecture
  •   Data Visualization Software
  •   Data Modeling
  •   Data Mart
  •   Star Schema
  •   Data Integration
  •   SQL
  •   Query Languages
  • There are 6 modules in this course

    In the first part of the capstone course, you’ll be introduced to a medium-sized firm, learning about their data warehouse and business intelligence requirements and existing data sources. You’ll first architect a warehouse schema and dimensional model for a small data warehouse. You’ll then create data integration workflows using Pentaho Data Integration to refresh your data warehouse. Next, you’ll write SQL statements for analytical query requirements and create materialized views to support summary data management. For data integration workflows and analytical queries, you can use either Oracle or PostgreSQL. Finally, you will use MicroStrategy OLAP capabilities to gain insights into your data warehouse. In the completed project, you’ll have built a small data warehouse containing a schema design, data integration workflows, analytical queries, materialized views, dashboards and visualizations that you’ll be proud to show to your current and prospective employers.

    Data Warehouse Design

    Data Integration

    Analytical Queries and Summary Data Management

    Data Visualization and Dashboard Design Requirements

    Wrap Up and Project Submission

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