with Autodesk and Databricks?
Emit new event when a new version of a file is created in Autodesk. See the documentation
Emit new event when a folder is added to a specified folder in Autodesk. See the documentation
Emit new event when a new project is created in Autodesk. See the documentation
Creates a new folder in a project in Autodesk. See the documentation
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
Uploads a new file to a specified folder in Autodesk. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
autodesk: {
type: "app",
app: "autodesk",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.userprofile.autodesk.com/userinfo`,
headers: {
Authorization: `Bearer ${this.autodesk.$auth.oauth_access_token}`,
"accept": `application/json`,
},
})
},
})
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/preview/scim/v2/Me`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})