Data Modeling Techniques for Data Warehousing. SQL script for creating date dimension table for a data warehouse at SQLBook.com. Almost all data warehouses enable the user to analyse and summarize data in sectors of time.
Reports are often based on the financial year, the last quarter, last month or last week etc. By building a date dimension table in our data warehouse we provide a reuseable date lookup table that can help ease the creation of date based reports. This article demonstrates a SQL script that can be used to create and populate such a date dimension table. Designing the Star Schema Database. MySQL Fact Tables with Talend Open Studio. Once the dimensions are loaded in your data mart, load the fact tables.
In Talend Open Studio, this is implemented using several tMysqlInput components, a tMap, and a tMysqlOutput component for a physical model built on MySQL. A fact table holds transaction data, either raw or summarized (Simsion 488). In processing terms, this means that each input record -- say from a staging table -- will produce an output record in the fact table. This is different than a dimension which normalizes a record from an input set. A star schema is an arrangement of dimensions around a single fact table (Simsion 499).