What do you want to automate
with Pipedream and Databricks?
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Popular Ways to Connect Pipedream with Databricks#
Popular Pipedream and Databricks Triggers#
Exposes an HTTP API for scheduling messages to be emitted at a future time
Emit new event at a specified time before a card is due.
Emit new event when a Calendar event is upcoming, this source is using reminderMinutesBeforeStart property of the event to determine the time it should emit.
Popular Pipedream and Databricks Actions#
Cancel all active runs for a job. The runs are canceled asynchronously, so it doesn't prevent new runs from being started. See the documentation
Cancel a job run. The run is canceled asynchronously, so it may still be running when this request completes. See the documentation
Overview of Pipedream#
Pipedream is an API that allows you to build applications that can connect to
various data sources and processes them in real-time. You can use Pipedream to
create applications that can perform ETL (Extract, Transform, and Load) tasks,
as well as to create data-driven workflows.
Some examples of applications you can build using the Pipedream API include:
- An application that can extract data from a database, transform it, and then
load it into another database. - An application that can monitor a data source for changes, and then trigger a
workflow in response to those changes. - An application that can poll an API for new data, and then process that data
in real-time.
Connect Pipedream#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pipedream: {
type: "app",
app: "pipedream",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pipedream.com/v1/users/me`,
headers: {
Authorization: `Bearer ${this.pipedream.$auth.api_key}`,
},
})
},
})
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/preview/scim/v2/Me`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
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