Modeler overview

Birst Modeler empowers users to smartly access, prepare, and network data on their own.

Modeler consists of three main steps for optimizing your data through connecting, preparing, and relating.

Modeler Connect. From Modeler Connect, you can connect your space to a Cloud application, a database, or upload a file of tables to access and import the desired data for reporting. Modeler Connect allow you to set up and connect your data sources through Import or Live Access.
Modeler Prepare. From Modeler Prepare, you can make additional modifications and transformations to the data. Transformations allow you to splitting or merging columns, filling in empty cells, and so on.
Modeler Relate. From Modeler Relate, you can set up relationships between the various data sources you have imported and set up in Modeler. Modeler Relate handles database joins, attributes and measures. Modeler Relate also allows you to make column modifications for flexibility to the data. With Modeler Relate, you can:

To access Modeler, you must first convert your ADR space to be on the new metadata infrastructure. For more details, see Converting ADR Spaces to New Metadata Infrastructure.


Enterprise Space	Professional Space
Enterprise Spaces enable complex, scalable data management with dimensional data models. Enterprise spaces are best suited for reporting on many large data sources. They enable the creation of a dimensional data model, which can accommodate importing large amounts of data and granular control of your semantic layer.	Professional Spaces enable streamlined data analysis with self-service data preparation. Professional spaces are ideal to enable analysts to conduct self-service analytics. They allow users to quickly connect to different data sources, transform their data, relate it, and conduct analysis.
When should I use an Enterprise Space? Easy to incrementally scale your data analytics as you add new data sources to the model. Granular control of the semantic layer and advanced security to allow for consumption of the resulting analytics from many users across the organization.	When should I use a Professional Space? Easy to use, from data ingestion all the way to data preparation, modeling, and reporting. Faster time to insights compared to Enterprise spaces.
When should I use a Professional Space instead? Fine grain control and advanced settings means that the time to insights is higher for Enterprise spaces than Professional spaces.	When should I use an Enterprise Space instead? As complexity increases, Professional spaces will become harder to maintain and expand than Enterprise spaces, since there is no dimensional data model created. Note: Usage of any Flash screen (example: Flash-based Classic Admin) to make any changes in a Professional space is not supported and may result in the space becoming corrupted. If the broader feature set of modeling features formerly offered in Classic Admin is needed to build the necessary use cases in the space, it can be found in Modeler by using Enterprise spaces.