Which schema is best for MicroStrategy?

MicroStrategy prefers de-normalized snowflake schemas, but this does not mean it is always necessary to “snowflake” your dimensions. MicroStrategy architecture can work with a star schema as well.

What are the 5 steps under data modeling?

We’ve broken it down into five steps:

Step 1: Understand your application workflow.
Step 2: Model the queries required by the application.
Step 3: Design the tables.
Step 4: Determine primary keys.
Step 5: Use the right data types effectively.

How do you create a data model in MicroStrategy?

How to Create Ad-Hoc Models from MicroStrategy Web

In MicroStrategy Web, click Create > Add External Data.
Connect to a data source and fetch the requisite tables.
Fetch the data from the tables in the query builder.
Bring in tables from different sources and create the models.
Change relationships for the tables.

What are the 3 steps of data Modelling?

Data modeling occurs at three levels—physical, logical, and conceptual.

A physical model is a schema or framework for how data is physically stored in a database.
A conceptual model identifies the high-level, user view of data.

Does MicroStrategy support star schema?

MicroStrategy SQL Generation Engine can work with properly designed star schema warehouses, however there are restrictions. Not all functionality can be done with a star schema warehouse.

What are schema objects MicroStrategy?

Schema objects are logical objects that relate application objects to data warehouse content. They are the bridge between MicroStrategy reporting environment and data warehouse. Table – Logical objects that correspond to physical tables stored in the data warehouse.

Can you tell me the best practices that we should follow while working on data Modelling?

You want to design a data model that:

Is comprehensible by data analysts and data scientists (so they make fewer mistakes when writing queries).
Works well with the BI tool you’re using.
Minimizes transform time (time-to-build).
Minimizes response time to both the BI tool and ad-hoc queries.
Minimizes costs.

What are data modeling techniques?

Data Modelling is the process of analyzing the data objects and their relationship to the other objects. It is used to analyze the data requirements that are required for the business processes. The diagram will be created using text and symbols to represent how the data will flow.

What are data Modelling techniques?

Data Modelling is the process of analyzing the data objects and their relationship to the other objects. It is used to analyze the data requirements that are required for the business processes. The data models are created for the data to be stored in a database.

What is ragged hierarchy in Microstrategy?

A ragged hierarchy is the one in which the parent or child attribute element of one or more attribute elements are not present in the level immediately above or below the attribute. New entries for the missing attributes should be added to the Branch attribute lookup table.

What is public objects in MicroStrategy?

Public objects are also known as application objects, and are based on the schema objects. The following diagram shows all the public objects available in MicroStrategy: In the following section, we will discuss these public objects in detail.

What are the best practices for MicroStrategy development?

Create Hierarchies based on attributes created. Pay close attention to the drill paths, browse attribute list, entry points, and element display settings. Metrics are MicroStrategy objects that represent business measures and key performance indicators.

How does the BI tool work in MicroStrategy?

Based on the user’s preferred language, the BI tool connects to the appropriate data source. This configuration can be done in MicroStrategy. For the column or table-based approach, MicroStrategy provides SQL-based Data Internationalization. MicroStrategy uses appropriate SQL queries to access data in the warehouse.

How is MicroStrategy used to internationalize data?

For the database-based approach, MicroStrategy provides connection-based Data Internationalization. MicroStrategy uses ODBC APIs to access data from the appropriate warehouse. In either case, you have to take additional steps to configure your project to enable internationalization.

Which is an example of a MicroStrategy object?

Metrics are MicroStrategy objects that represent business measures and key performance indicators. From a practical perspective, metrics are the calculations performed on data stored in your database, the results of which are displayed on a report. Metrics are similar to formulas in spreadsheet software.