with Mixpanel and Databricks?
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
Mixpanel's API allows you to track user interactions with your web and mobile applications, providing insights through data analysis. You can capture events, update user profiles, and segment data based on user actions. Integrating Mixpanel with Pipedream enables you to automate responses to these events, sync data across services, and trigger workflows that can enhance user engagement and improve retention.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mixpanel: {
type: "app",
app: "mixpanel",
}
},
async run({steps, $}) {
const data = `data={
"event": "Pipedream test event",
"properties": {
"token": "${this.mixpanel.$auth.token}"
}
}`
return await axios($, {
method: "post",
url: `https://api.mixpanel.com/track#live-event`,
headers: {
"Content-Type": `application/x-www-form-urlencoded`,
},
data,
})
},
})
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.
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}`,
},
})
},
})