Azure Analysis Services Connector

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Overview

Etlworks Azure Analysis Services connector allows the fastest and easiest way to connect to real-time Azure Analysis Services data. The connector works just like any other database connector.

Etlworks partnered with CData to provide access to Azure Analysis Services using industry-standard JDBC protocol. Read about CData Azure Analysis Services JDBC connector.

When to use Azure Analysis Services connector

Use this connector to create Flows that extract data from Azure Analysis Services.

Prerequisites

Enable the Azure Analysis Services connector for your Etlworks account. Contact support@etlworks.com to enable the connector. 

Create a Connection

Here's how you can create a Connection in two easy steps:

Step 1. In the Connections window, click +, and type in azure analytics.

Step 2. Enter Connection parameters:

• Region: enter Azure cloud region.
• Server: enter Azure Analytics Services server URL.
• Permissions: select the permissions that will be used to access Azure Analytics Services. 
• OAuth Token: sign in with Microsoft.

Use Other parameters to specify the Connection string options. Read about available Connection string options.

Work with Azure Analysis Services

Azure Analytics Services Data Model

Azure Analysis Services is an OLAP database that exposes data as cubes, which you query with MDX (multidimensional expressions). The connector models these cubes in relational views that you can query with SQL-92. The following Mapping is for the layout of the model:

• Catalog: Displayed in the driver as a Catalog.
• Cube: Displayed in the driver as a Schema.
• Measure: Available in the driver under the special Measures view.
• Dimension: Each dimension is exposed as a view.
• Level: Each individual level of a hierarchy is exposed as a column on the appropriate dimension view.

Read about the Azure Analytics Services data model.

SQL Compliance

Read about SQL Compliance.

Extract data from Azure Analysis Services

Extracting data from Azure Analysis Services is similar to extracting data from the relational database.

Here's how you can do this:

Step 1. Create Azure Analysis Services Connection which will be used as a source (FROM).

Step 2. Create a destination Connection, for example, a Connection to the relational database, and if needed, a Format (Format is not needed if the destination is a database or well-known API).

Step 3. Create a Flow where the source is a database and the destination is a Connection created in step 2, for example, a relational database.

Step 4. Add a new source-to-destination transformation.

Step 5. Select the Azure Analysis Services Connecion created in step 1 as a source Connection and select the data object you are extracting data from.

Step 6. Select TO Connection, Format (if needed), and object (for example database table) to load data into.

Step 7. Click MAPPING and optionally, enter Source query (you don't need a query if you are extracting data from the Azure Analysis Services data object unconditionally).

Step 8. Optionally, define the per-field Mapping.

Step 9. Add more transformations if needed.

Browse data in Azure Analysis Services

You must have an Azure Analysis Services Connection to browse objects and run SQL queries.

Use the Etlworks Explorer to browse data and metadata in Azure Analysis Services as well as execute DML and SELECT queries against the Azure Analysis Services Connection.