> For the complete documentation index, see [llms.txt](https://docs.jigx.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.jigx.com/examples/readme/data-providers/microsoft-azure-sql.md). # Microsoft Azure SQL {% hint style="warning" %} Best practice for production apps is to use REST as the data layer to access data and not directly integrate to SQL using the SQL data provider. The SQL data provider will be squiggled in blue to indicate it is not recommended, together with a message to use [REST](https://docs.jigx.com//building-apps-with-jigx/data/data-providers/rest) instead. See [REST endpoints from Azure SQL](https://docs.jigx.com/building-apps-with-jigx/data/data-providers/microsoft-azure-sql/rest-endpoints-from-azure-sql) for more information. {% endhint %} Integrating with an Azure SQL database is easy, using the SQL data provider in Jigx provides access to interact with external data efficiently. For more information on how the the provider functions, see [Microsoft Azure SQL](https://docs.jigx.com/building-apps-with-jigx/data/data-providers/microsoft-azure-sql). ## What is created In this section, an SQL database is used to create a customer Jigx app that allows you to:
Functions & JigsFunctionality description
List customers (SELECT)View a list of customers.
List a single customer (SELECT)View a single customer.
Create a customer (INSERT)Capture new customers in a form.
Update a customer (UPDATE)You can update customer details by tapping the Edit customer button. This populates a form with the customer's details and an update button.
## Before you begin We have simplified the process by providing [database scripts](/examples/readme/data-providers/microsoft-azure-sql/database-scripts.md) to create the Customer SQL database on which the example is based. ## High-level steps The SQL data provider is used in Jigx to integrate with an Azure SQL database. In this section, we follow these high-level steps: 1. Identify the SQL database to be used as your data source. 2. Configure SQL connection in Jigx Management. 3. Define a SQL call in a Jigx function in Jigx Builder. 4. Define data operations in the function, such as SELECT, INSERT, UPDATE, and DELETE. For each operation, create a new function to specify the operation. 5. Reference the Jigx functions in jigs. 6. Publish your solution 7. Test the data provider. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.jigx.com/examples/readme/data-providers/microsoft-azure-sql.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.