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Exercise 4 – Embellishing the Date Dimension with Holiday information.Exercise 3 – Embellishing the Date Dimension with additional date information.Exercise 2 – Importing and Transforming Promotions as Type 1 SCD.
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Implementing Type 1 Slowly Changing Dimension – Update in Place.Exercise 1 – Importing and Transforming Sales Representatives as Type 2 SCD.Testing the Slowly Changing Dimension Management.Using the Database Explore features to explore the data.Creating a Dimension Lookup/Update Step.Building an ETL Transformation to load and manage the Customer data as a Type 2 SCD.The Sales History Data Warehouse Model and Schema.The Order Entry Operational Data Model and Schema.Introduction to the Pentaho Data Integration Tools.
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The data has also been extracted to convenient CSV files so that no other databases or software will be required. I have pared down the data somewhat to make the example easier to follow. This order entry schema follows a typical design pattern for a retailer’s transaction processing database. The data used for this tutorial is derived from the “Order Entry” schema that is available as an example data set in most Oracle databases. If you are interested in working more with the Pentaho Business Analytics tools, consider reviewing this tutorial that focuses on the Pentaho Community Dashboard Editor. Instructions on downloading and installing these tools are available here (Windows) or here (MacOSX and Linux). The only software required for this tutorial will be the freely available Pentaho Community Edition Business Analytics Server (BA Server) and the Data Integration (DI) tools. While there are a bunch of short tutorials available elsewhere that demonstrate one or two aspects of ETL transformations, my goal here is to provide you with a complete, comprehensive stand-alone tutorial that specifically demonstrates all of the needed steps to transform an OLTP schema to a functioning data warehouse. The purpose of this tutorial is to provide a comprehensive set of examples for transforming an operational (OLTP) database into a dimensional model (OLAP) for a data warehouse.