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with Google Calendar and Databricks?
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Popular Ways to Connect Google Calendar with Databricks#
Popular Google Calendar and Databricks Triggers#
Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler. See the documentation for more information and instructions for connecting your Pipedream account.
Emit new event when a Google Calendar events is created or updated (does not emit cancelled events)
Emit new event when a Google Calendar event is created that matches a search
Emit new event when a Google Calendar event is cancelled or deleted
Popular Google Calendar and Databricks Actions#
Creates a new SQL Warehouse in Databricks. See the documentation
Edits the configuration of an existing SQL Warehouse. See the documentation
Retrieve the output and metadata of a single task run. See the documentation
Overview of Google Calendar#
The Google Calendar API lets you dip into the powerhouse of scheduling, allowing for the reading, creation, and manipulation of events and calendars directly from your applications. Through Pipedream, you can seamlessly integrate Google Calendar into a myriad of workflows, automating event management, syncing with other services, setting up custom reminders, or even collating data for reporting. The key here is to streamline your calendar-related processes, ensuring that your time management is as efficient and automated as possible.
Connect Google Calendar#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_calendar: {
type: "app",
app: "google_calendar",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_calendar.$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/preview/scim/v2/Me`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
Community Posts#
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