Slowly Changing Dimensions
Slowly changing dimensions type 1 and 2 is a key to Kimball style dimensional modeling and is of course supported in tX2012 with an easy to use interface, that allows implementation within minutes –...
View ArticleIncremental Load
Improved Performance Target-Based Incremental Load. To improve load performance for very large tables, a feature called Target-based Incremental Load was introduced with timeXtender version 4.5. This...
View ArticleTime Dimensions
The most common of all dimensions is time, since there is virtually no reporting or analysis done without the context of when. A time or calendar dimension can always be derived of source data, as any...
View ArticleLookups
One of the most commonly features of tX2012 is the ability to look up a value across tables using a simple drag and drop interface. Lookups can be used to perform both simple tasks as fetching a single...
View ArticleIndexes
tX2012 supports both automatic created indexes as well as rich capabilities to add your own non clustered indexes to fine tune the load performance of your data warehouse platform. Automatic indexes...
View ArticleDocumentation – Full Printable
- Fully automated generation of Documentation, including full version control to ensure that the generated documentation corresponds to the deployed version of the project. Comments can be added to all...
View ArticleData Lineage Diagrams
Most data warehouse developers have experienced the challenge of answering a common question like “what data source fields are we using for this measure?” and sometimes you can even add “and what are...
View ArticleData Staging
The data staging area is a temporary location for data between the source systems and the data warehouse. This is where source data is copied to in the extract phase of ETL and is the first integration...
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