Create SSAS Tabular Models from CSV 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 ODBC Driver for CSV, you can create a tabular model from CSV data for deeper and faster data analysis.

Create a Connection to CSV 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.

Connecting to Local or Cloud-Stored (Box, Google Drive, Amazon S3, SharePoint) CSV Files

CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.

Setting connection properties for local files

Set the URI property to local folder path.

Setting connection properties for files stored in Amazon S3

To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:

• AWSAccessKey: AWS Access Key (username)
• AWSSecretKey: AWS Secret Key

Setting connection properties for files stored in Box

To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.

Dropbox

To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.

SharePoint Online (SOAP)

To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.

SharePoint Online REST

To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.

Google Drive

To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.

Creating a Data Source for CSV

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 CSV 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" 👁 Selecting ODBC as the connector
   
3. Select the DSN you previously configured 👁 Selecting the DSN (Salesforce is shown)
   
4. Choose "Default or Custom" as the authentication option and click "Connect" 👁 Connecting to the DSN (Salesforce is shown)
   

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 👁 Importing the tables (Salesforce is shown)
   
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 👁 Configuring relationships between tables (Salesforce is shown)
   

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 👁 Creating measures (Salesforce is shown)
   

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."

👁 Configuring the deployment database

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