Connect to Azure Data Lake Storage Data in Claris FileMaker Pro

Claris FileMaker is a low-code database application development tool that allows users to create custom apps for managing and organizing data. It combines a powerful relational database engine with an intuitive interface, enabling both technical and non-technical users to design and deploy applications across desktop, web, and mobile platforms.

In this article, we'll explore how to use the CData ODBC Driver for Azure Data Lake Storage in FileMaker to connect to Azure Data Lake Storage data.

Create an ODBC Data Source for Azure Data Lake Storage

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.

Authenticating to a Gen 1 DataLakeStore Account

Gen 1 uses OAuth 2.0 in Entra ID (formerly Azure AD) for authentication.

For this, an Active Directory web application is required. You can create one as follows:

1. Sign in to your Azure Account through the .
2. Select "Entra ID" (formerly Azure AD).
3. Select "App registrations".
4. Select "New application registration".
5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

• Schema: Set this to ADLSGen1.
• Account: Set this to the name of the account.
• OAuthClientId: Set this to the application Id of the app you created.
• OAuthClientSecret: Set this to the key generated for the app you created.
• TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
• Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

Authenticating to a Gen 2 DataLakeStore Account

To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

• Schema: Set this to ADLSGen2.
• Account: Set this to the name of the account.
• FileSystem: Set this to the file system which will be used for this account.
• AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
• Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Connect and sync Azure Data Lake Storage data with FileMaker using the CData ODBC Driver for Azure Data Lake Storage

Once you configure the CData ODBC Driver for Azure Data Lake Storage, you can connect to live Azure Data Lake Storage data in FileMaker and use it in your applications. In this section, we'll walk through the steps to connect live Azure Data Lake Storage data to FileMaker.

You can download and install the latest version of FileMaker Pro for your Mac/Windows/Linux systems here: https://www.claris.com/resources/downloads/.

Importing Azure Data Lake Storage data using FileMaker's ODBC Import Function

Follow the steps below to easily import Azure Data Lake Storage data using the ODBC import feature:

1. Open FileMaker Pro. Navigate to Create from the left panel and select Blank > Create.

2. Enter a desired filename and click Save.
3. In the Manage Database window, go to the Tables tab and create or rename the table where you want to display Azure Data Lake Storage data.

4. In the Fields tab, add the required fields to the table.

5. In the Relationships tab, define table relationships if your database has multiple tables, then click OK.
6. To reopen and modify the table structure later, go to File > Manage > Database.
7. To import Azure Data Lake Storage data via the CData ODBC Driver for Azure Data Lake Storage, navigate to File > Import Records > ODBC Data Source.

8. In the Select ODBC Data Source window, choose CData ODBC Driver for Azure Data Lake Storage and click Create. Enter your Azure Data Lake Storage username and password, then click OK.

9. In the SQL Query Builder window, select the desired table from the Tables section and choose the relevant columns from the Columns section. Click Insert into SQL Query after each selection to automatically generate a query that retrieves data from Azure Data Lake Storage. You can also manually edit the query using WHERE and ORDER BY clauses or use the tabs provided in the SQL Query Builder. Click Execute to run the query.

10. In the Specify Import Order window, define the import order for the target fields. Select Add between source and target to add new records to the target table from the selected fields. Click Import.

You have now successfully imported Azure Data Lake Storage data into FileMaker Pro using the CData ODBC Driver for Azure Data Lake Storage. To perform incremental updates, change the import order to "Update" or use "Replace" based on your use case.

Process Azure Data Lake Storage data at design time

You can sort and aggregate data, as well as calculate summary functions while browsing tables. To manipulate the view of data at design time, complete the following steps:

• Switch to Preview Mode: Click the Preview at the top to check how the Azure Data Lake Storage data with look before you print it.
• Switch to Table View: Click the table icon in the View As menu in the main toolbar of the application.

Aggregate and summarize

Follow the steps below to group column values and display summaries, as shown in the screenshot:

• Sort: Click the arrow in the NumberOfEmployees column header and choose Sort Ascending from the menu.
• Group: In the same menu, click Add Trailing Group by Industry to group the values and insert a summary row. Alternatively, click Add Leading Group to add a summary row at the beginning.
• Summarize: Select a summary option from the Trailing Subtotals menu for a grouped column.

Create a bar chart

Use the following steps to create a simple bar chart showing the total NumberOfEmployees for each Industry:

1. Click the arrow in the NumberOfEmployees column header and select Chart by NumberOfEmployees.
   • If you've already grouped the table by a column (e.g., Industry), you can chart NumberOfEmployees by that column.
   
2. In the Chart Setup window:
   • Click the button next to the Data box to add the x-axis column.
   • Choose the appropriate column in the dialog that appears.
   • For the y-axis, select a summary option from the Summary menu.

Get Started Today

Download a free 30-day trial of the CData ODBC Driver for Azure Data Lake Storage to integrate Azure Data Lake Storage data into Claris FileMaker and work with Azure Data Lake Storage data in your FileMaker applications.

Reach out to our Support Team if you have any questions.