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with Databricks and Stripe?
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Popular Databricks and Stripe Actions#
Retrieve the output and metadata of a single task run. See the documentation
Run a job now and return the id of the triggered run. See the documentation
Cancel a pending payout or reverse a paid payout. See the documentation here and here
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}`,
},
})
},
})
Overview of Stripe#
The Stripe API is a powerful tool for managing online payments, subscriptions, and invoices. With Pipedream, you can leverage this API to automate payment processing, monitor transactions, and sync billing data with other services. Pipedream's no-code platform allows for quick integration and creation of serverless workflows that react to Stripe events in real-time. For instance, you might automatically update customer records, send personalized emails after successful payments, or escalate failed transactions to your support team.
Connect Stripe#
import stripe from 'stripe'
export default defineComponent({
props: {
stripe: {
type: "app",
app: "stripe",
}
},
async run({steps, $}) {
const client = stripe(this.stripe.$auth.api_key)
return await client.accounts.list({ limit: 1 })
},
})
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