Microsoft Teams
Microsoft Teams has communities, events, chats, channels, meetings, storage, tasks, and calendars in one place.
Integrate the Microsoft Teams API with the Databricks API
Setup the Microsoft Teams API trigger to run a workflow which integrates with the Databricks API. Pipedream's integration platform allows you to integrate Microsoft Teams and Databricks remarkably fast. Free for developers.
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Popular Ways to Connect Microsoft Teams with Databricks#
Popular Microsoft Teams and Databricks Triggers#
Emit new event when a new message is posted in a channel
Emit new event when a new message is received in a chat
Emit new event when a new team is joined by the authenticated user
Popular Microsoft Teams and Databricks Actions#
Create a new channel in Microsoft Teams. See the docs here
Retrieve the output and metadata of a single task run. See the documentation
Get the list of shift instances for a team. See the documentation
Overview of Microsoft Teams#
The Microsoft Teams API on Pipedream allows you to automate tasks, streamline communication, and integrate with other services to enhance the functionality of Teams as a collaboration hub. With this API, you can send messages to channels, orchestrate complex workflows based on Teams events, and manage Teams' settings programmatically.
Connect Microsoft Teams#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_teams: {
type: "app",
app: "microsoft_teams",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_teams.$auth.oauth_access_token}`,
},
})
},
})
Overview of Databricks#
The Databricks API allows you to interact programmatically with Databricks services, enabling you to manage clusters, jobs, notebooks, and other resources within Databricks environments. Through Pipedream, you can leverage these APIs to create powerful automations and integrate with other apps for enhanced data processing, transformation, and analytics workflows. This unlocks possibilities like automating cluster management, dynamically running jobs based on external triggers, and orchestrating complex data pipelines with ease.
Connect Databricks#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
databricks: {
type: "app",
app: "databricks",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.databricks.$auth.domain}.cloud.databricks.com/api/2.0/clusters/list`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
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