1z0-591 Exam Dumps - Oracle Certification Questions and Answers

Web Catalog does contain object permissions: folder, reports, etc. The repository has objects permissions to Subject Areas, etc.

Note: A level-based measure is a column whose values are always calculated to a specific level of aggregation.

The calculation of this measure is independent of the query grain and used always the aggregation grain of the logical column.

Level-based measures allow :

* to return data at multiple levels of aggregation (the query grain and the level-based column grain) with one single query

* to create share measures (percentage), that are calculated by taking some measure and dividing it by a level-based measure. For example, you can divide salesperson revenue by regional revenue to calculate the share of the regional revenue each salesperson generates.

Modeling Time Series Function in OBIEE

Modeling Time Series Data

Time series functions provide the ability to compare business performance with previous time periods, allowing you to analyze data that spans multiple time periods. For example, time series functions enable comparisons between current sales and sales a year ago, a month ago, and so on.

Because SQL does not provide a direct way to make time comparisons, you must model time series data in the Oracle BI repository. First, set up time dimensions based on the period table in your data warehouse. Then, you can define measures that take advantage of this time dimension to use the AGO, TODATE, and PERIODROLLING functions.

Oracle Essbase developers creating planning and budgeting applications have been keenly aware of the advantages and disadvantages of the two different storage types available to them:

* Block storage option (BSO) databases support a wide range of calculations, including forecasts, allocations, and aggregations through procedural calculation scripts. The results of these calculations can be written back to the database, but applications that use BSO storage are limited to about 10 dimensions and member counts in the low hundreds of thousands.

* Aggregate storage option (ASO) databases can support about 20 dimensions and member counts in the millions. ASO databases use multidimensional functions rather than procedural scripts to perform calculations, but the results of queries cannot be stored back in the database, making ASO unsuitable for most financial management applications.