IFS Analysis Models
This page provides information related to configuration of IFS Analysis Models.
Configurations are made in IFS Cloud.
Basic Data in IFS Cloud
IFS Analysis Models requires that basic data has been set up properly in IFS Cloud. Please refer to the following link >>
Configuration of Data Mart Load in IFS Cloud
Learn more about Data Mart access and configuration in IFS Cloud using the following link >>
Extracting data from IFS Cloud to the Data Warehouse in SQL Server is done by using Access Views. These views represent the read interface in IFS Cloud, acting as a view layer on top of the Information Source related views.
Note: Access Views are not available by default. It is necessary to generate these views via the IFS Aurena client.
Learn more about Access Views
This section deals with read access related to IFS Cloud and also provides some information about security handling in SQL Server. Learn more >>
Information about how to set the environment to be used by the current IFS installation as well as about user mappings can be found on the Analysis Models -Setup page.
Analysis Models provides data configurations that will limit the data used by the Tabular Models. The configurations are important to make sure that the Tabular Models work as designed to provide the end users with the best experience.
Data configurations are mainly related to basic data in IFS Cloud. For more information please refer to Basic Data in IFS Cloud.
Learn more about data configurations >>
Deploy Necessary DW Objects
Each tabular model is dependent on a number of Tabular Data Sources. Before a model can be used, it is important to make sure that necessary Tabular Data Source specific objects are created in the the SQL Server database,
Read more about DW deployment here >>
Data Load Definition and Volume Configuration
The Analysis Models framework, supporting SSAS Tabular models, transfers data from IFS Cloud to a storage layer, database, in SQL Server. General information about Analysis Models can be found here.
The data load supports different load types, providing flexibility to control the data volume loaded for different sources used by the Tabular models:
- Full load
- Conditional load
- Incremental load
Learn more how to create a data load definition and how to configure the data volume >>
Admin & Config Client Overview
Use the following link to get an overview of available client support in IFS Cloud related to the Tabular framework in Analysis Models.
Read more about available Admin and Configuration support for Tabular Models in Aurena client by following the link >>
The Tabular Models framework is built around IFS Marble models and support a layered architecture that allows custom specific configurations. Read more about how to use the layered architecture to handle custom specific modifications and additions.
Read more about Tabular Models specific custom configurations by following the link >>
The Tabular Models framework supports several actions that leads to execution of SSIS packages, Stored procedures and Agent Jobs in SQL Server. To enable tracing of these remote executions,a set of logs have been made available in the Aurena client.
Read more about available logs by following the link >>
More about how translations are handled can be found by following the link >>