BigML and Microsoft SQL integration

Save yourself the work of writing custom integrations for BigML and Microsoft SQL and use n8n instead. Build adaptable and scalable Development, workflows that work with your technology stack. All within a building experience you will love.

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How to connect BigML and Microsoft SQL

Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Build your own BigML and Microsoft SQL integration

Create custom BigML and Microsoft SQL workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Supported methods for BigML

Delete

Get

Head

Options

Patch

Post

Put

To set up BigML integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to BigML to query the data you need using the API endpoint URLs you provide.

Requires additional credentials set up

Use n8n’s HTTP Request node with a predefined or generic credential type to make custom API calls.

BigML and Microsoft SQL integration details

BigML

BigML is an app that uses Machine Learning to automate tasks like Classification, Regression, Forecasting, Cluster Analysis, Anomaly Detection, and Topic Modeling. It transforms data into models for predictions, which can be used remotely or embedded into apps.

Using generic authentication

See BigML integrations

Related categories

Development

Microsoft SQL

SQL Server is database management system developed by Microsoft. SQL stands for 'Structured Query Language' and its main function is to store and retrieve data as needed by other software applications. It remains one of the most used databases in the world.

Microsoft SQL node docs + examples

Microsoft SQL credential docs

See Microsoft SQL integrations

Related categories

Development Data & Storage

Other integrations with Microsoft SQL

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