Create SSAS Tabular Models from Alchemy Data

SQL Server Analysis Services (SSAS) is an analytical data engine used in decision support and business analytics. It provides enterprise-grade semantic data models for business reports and client applications, such as Power BI, Excel, Reporting Services reports, and other data visualization tools. When paired with the CData API Driver for ODBC, you can create a tabular model from Alchemy data for deeper and faster data analysis.

Create a Connection to Alchemy Data

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Start by setting the Profile connection property to the location of the Alchemy Profile on disk (e.g. C:\profiles\Alchemy.apip). Next, set the ProfileSettings connection property to the connection string for Alchemy (see below).

Alchemy API Profile Settings

Alchemy uses API key authentication. The API key is supplied in the request URL path. To obtain an API key:

1. Sign in to your Alchemy account at https://dashboard.alchemy.com.
2. Open an existing app or create a new one.
3. Copy the app's API key from the API Key dialog.

After obtaining your API key, set the following connection properties:

• AuthScheme: Set this to APIKey.
• Network: Optional. The blockchain network slug for NFT API requests (for example, eth-mainnet, base-mainnet, polygon-mainnet). Defaults to eth-mainnet.

Set the following in the ProfileSettings connection property:

• APIKey: Set this to your Alchemy app API key.

Creating a Data Source for Alchemy

Start by creating a new Analysis Services Tabular Project in Visual Studio. Ensure that you select a Compatibility Level of 1400 or higher in the Tabular model designer dialog. Next create a Data Source for Alchemy in the project.

1. In the Tabular Model Explorer, right-click Data Sources and select "New Data Source"
2. Select "ODBC" from the Other tab and click "Connect"
3. Select the DSN you previously configured
4. Choose "Default or Custom" as the authentication option and click "Connect"

Add Tables & Relationships

After creating the data source you are ready to import tables and define the relationships between the tables.

1. Right-click the new data source, click "Import New Tables" and select the tables to import
2. After importing the tables, right-click "Relationships" and click "Create Relationships"
3. Select table(s), and choose the foreign keys, cardinality, and filter direction

Create Measures

After importing the tables and defining the relationships, you are ready to create measures.

1. Select the column in the table for which you wish to create a measure
2. In the Extensions menu -> click "Columns" -> "AutoSum" and select your aggregation method

Deploy the Model

Once you create measures, you are ready to deploy the model. Configure the target server and database by right-clicking the project found in the Solution Explorer and selecting "Properties." Configure the "Deployment Server" properties and click "OK."

After configuring the deployment server, open the "Build" menu and click "Deploy Solution." You now have a tabular model for Alchemy data in your SSAS instance, ready to be analyzed, reported, and viewed. Get started with a free, 30-day trial of the CData API Driver for ODBC.