SAP Analytics Cloud is a cloud-based business intelligence platform. CData Connect AI creates a pure, cloud-to-cloud connection to SingleStore and can be used to generate an OData API (natively supported in Analytics Cloud) for SingleStore. By pairing SAP Analytics Cloud with CData Connect AI, you get true cloud-to-cloud connectivity to all of your SaaS and cloud-based Big Data and NoSQL sources — no need to migrate your data or write your integrations. Simply connect to Connect AI as you would any other OData service and get instant, consolidated access to all of your data.
In this article, we walk through connecting to SingleStore from SAP Analytics Cloud (through CData Connect AI) to create a model and build a simple dashboard.
Connect to SingleStore from SAP Analytics Cloud
To work with live SingleStore data in SAP Analytics Cloud, we need to connect to SingleStore from Connect AI, provide user access to
the connection, and create a Workspace for the SingleStore data.
Connect to SingleStore from Connect AI
CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.
-
Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection
- Select "SingleStore" from the Add Connection panel
👁 Selecting a data source
-
Enter the necessary authentication properties to connect to SingleStore.
The following connection properties are required in order to connect to data.
- Server: The host name or IP of the server hosting the SingleStore database.
- Port: The port of the server hosting the SingleStore database.
- Database (Optional): The default database to connect to when connecting to the SingleStore Server. If this is not set, tables from all databases will be returned.
Connect Using Standard Authentication
To authenticate using standard authentication, set the following:
- User: The user which will be used to authenticate with the SingleStore server.
- Password: The password which will be used to authenticate with the SingleStore server.
Connect Using Integrated Security
As an alternative to providing the standard username and password, you can set IntegratedSecurity to True to authenticate trusted users to the server via Windows Authentication.
Connect Using SSL Authentication
You can leverage SSL authentication to connect to SingleStore data via a secure session. Configure the following connection properties to connect to data:
- SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
- SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
- SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
- SSLClientCertType: The certificate type of the client store.
- SSLServerCert: The certificate to be accepted from the server.
Connect Using SSH Authentication
Using SSH, you can securely login to a remote machine. To access SingleStore data via SSH, configure the following connection properties:
- SSHClientCert: Set this to the name of the certificate store for the client certificate.
- SSHClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
- SSHClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
- SSHClientCertType: The certificate type of the client store.
- SSHPassword: The password that you use to authenticate with the SSH server.
- SSHPort: The port used for SSH operations.
- SSHServer: The SSH authentication server you are trying to authenticate against.
- SSHServerFingerPrint: The SSH Server fingerprint used for verification of the host you are connecting to.
- SSHUser: Set this to the username that you use to authenticate with the SSH server.
👁 Configuring a connection (Salesforce is shown)
-
Click Save & Test
-
Navigate to the Permissions tab in the Add SingleStore Connection page and update the User-based permissions.
👁 Updating permissions
Add a Personal Access Token
When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
-
Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
-
On the Settings page, go to the Access Tokens section and click Create PAT.
-
Give the PAT a name and click Create.
👁 Creating a new PAT
-
The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
Configure SingleStore Endpoints for SAP Analytics Cloud
After connecting to SingleStore, create a workspace for your desired table(s).
-
Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace).
👁 The Workspaces page.
👁 Adding a new Workspace.
-
Click Add to add new assets to the Workspace.
-
Select the SingleStore connection (e.g. SingleStore1) and click Next.
👁 Selecting an Asset (Salesforce is shown).
-
Select the table(s) you wish to work with and click Confirm.
👁 Selecting Tables (Salesforce is shown).
-
Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}
With the connection, PAT, and Workspace configured, you are ready to connect to SingleStore data from SAP Analytics Cloud.
Create a Model of SingleStore Data in SAP Analytics Cloud
With the connection to SingleStore configured and the OData endpoint(s) created, we can create a Model for SingleStore data in SAP Analytics Cloud.
- Log into your Analytics Cloud instance and click Create -> Model from the menu.
- Choose "Get data from a datasource" and select "OData Services"
- Choose an existing connection to your Connect AI OData or Create a new one:
- Set Connection Name
- Set Data Service URL to the Base URL for your OData API: https://cloud.cdata.com/api/odata/{workspace_name}
- Set Authentication Type to Basic Authentication
- Set User Name to the Connect AI user (e.g. [email protected])
- Set Password to the PAT for the above user
👁 Creating a new OData Services Connection
- Choose "Create a new query" and click Next
- Name the Execute, select an OData endpoint (like Orders) and click Next
👁 Choosing a Connect AI OData endpoint to query
- Drag the columns you wish to work with into the Selected Data workspace and click Create
👁 Selecting fields (columns) from the OData endpoint
- At this point, a Draft Data source is created; click the draft to finalize the model
- Perform any transformations, including creating calculated dimensions, location dimensions, and combining data sources, then click Create Model
👁 Finalizing the model
- Name your model and click OK
Build a Dashboard in SAP Analytics Cloud
With the model created, you are ready to create a dashboard in SAP Analytics Cloud based on SingleStore data.
- From the menu, click Create -> Story
- Click on SAP Analytics Template (this article uses the "Dashboard" template)
- Choose a layout and click Apply
- From the More menu, select a visualization to insert (Chart)
👁 Inserting a visualization
- Select a model to visualize
- Select a structure and the required Measures and Dimensions
- Save the store
👁 Saving the Story
More Information & Free Trial
Now, you have created a simple but powerful dashboard from live SingleStore data. For more information on creating OData feeds from SingleStore (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live SingleStore data in SAP Analytics Cloud.
