Applies to: 
Kyvos Enterprise Kyvos Cloud (SaaS on AWS) Kyvos AWS Marketplace
Kyvos Azure Marketplace Kyvos GCP Marketplace Kyvos Single Node Installation (Kyvos SNI)
Once you have created relationships within the dataset, you can create a semantic model. When you define a semantic model, you specify the dimensions and measures and the types of pre-calculated aggregations it will contain.
Note
Refer to the File sources supported for creating relationships and semantic models section to learn more about the sources from where you can pick files for the relationship.
If the ALLOW_ENTITIES_ON_ROOT property is set to Yes , the New option is displayed, which is used to add any Kyvos entity to the Root folder. The New option is displayed beside the Quick Data Modelling option. Conversely, if it is set to No , you cannot add any Kyvos entity to the Root folder, and the New option to add the folder is not displayed.
Design and process a semantic model in three steps
You need to perform a few steps to design and process a semantic model. These are, of course, a one-time thing; once the designer processes these, the business users can use the data as often as they need.
Once you've completed the basic design, you can refine the semantic model by defining the partition, aggregation, and auto cache strategies and setting advanced properties. Then you can schedule the process, get recommendations, analyze queries, review process summaries or data profile results, manage process instances, or add other jobs such as data profile or cache job.
Step 1: Define Semantics
In this step, you prepare a physical design of a semantic model. To do this, you add dimensions, measures, and the types of pre-calculated aggregations it will contain.Step 2: Refine Model
In this step, you refine the semantic model by defining the partition, aggregation, auto cache strategies, and setting advanced properties.Step 3: Process
In this step, you process the semantic model. To do this, you need to specify semantic model process types, such as full data process, incremental data process, test data process, and the schedule when you want to trigger the process.
Kyvos semantic model design and process page
Before you get started
Before you create a semantic model, you may need to know about the schema, which describes how the tables are arranged in the database. Star, snowflake, multi fact, and single file schemas are common types you will encounter. They are different arrangements of facts (business data) and dimensions (the records in the fact table - for example, information about specific products or customers). A semantic model aggregates facts from various levels of a dimension provided in a schema. For example, you may have data about products, units sold, and sales amounts and match them up by date (month, quarter), store, salesperson, or other combinations.
Tip
You can hover the cursor over specific dimensions or measures to see additional data about that item, such as field name, node name, and function used. For count measures, count type such as accurate or approximate is also shown.
Kyvos allows you to create a data profile that provides guidance for semantic model design. Additionally, Kyvos provides semantic model recommendations to optimize the semantic model based on historical query data and the data profile. You can calculate aggregates when you do the semantic model process to reduce query times.
You can also analyze queries created on the semantic model. The results are displayed in a dashboard in a separate tab in the browser. You can view query performance data and lists of mostly used dimensions and measures to aid you in optimizing your semantic model design.
Important
All of the sources used to process a semantic model must be from a single connection.