Change data categories to Databases, Big Data, Spreadsheets, Application Data, Cloud
Note that the data server does not leverage vizql servers, so each component can be scaled separately.
You only query your database at pre-defined times leaving the database to handle other tasks. Creates datamarts automatically Refreshing the extract does have an impact on your database Extracts can be stored in another database (SQL Server, MySQL, PostgreSQL) Administrators create the schedules, publishers attach extracts to a schedule
Sampling can be very slow depending on the database and number of joins
Intro: Summarized Extracts allow you to “roll-up” the data based on what dimensions are visible. Measures are pre-aggregated according to their default aggregation Calculations are not pre-aggregated
How To: Make sure you hide fields manually (right click and ‘hide’) or automatically (‘hide unused fields’).
Intro: Without reducing other dimensionality, rolling up dates alone can be extremely beneficial All dates in the datasource are rolled up to the same level.
How To: There is no need to hide anything, simply extract and select the appropriate date level.