with Datarobot and Tableau?
Emit new event when a label is created in Tableau. See the documentation
Emit new event each time a new workbook is created in Tableau. See the documentation
Creates a project on the specified site. You can also create project hierarchies by creating a project under the specified parent project on the site. See the documentation
Returns a list of projects on the specified site. See the documentation
DataRobot offers an AI platform that empowers users to build and deploy predictive models. Through its API, you can manage datasets, kick off model training, retrieve predictive scores, and integrate machine learning insights into your business processes. With Pipedream, you can create serverless workflows that leverage DataRobot's capabilities, enabling a powerful synergy between machine learning and everyday business automation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
datarobot: {
type: "app",
app: "datarobot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.datarobot.com/api/v2/projects/`,
headers: {
Authorization: `Bearer ${this.datarobot.$auth.api_key}`,
},
})
},
})
The Tableau API allows you to tap into the robust data visualization and business intelligence capabilities of Tableau. Within Pipedream, you can leverage this API to automate reporting, manage users, update data sources, and extract insights. This enables you to integrate Tableau's analytics with other services, streamlining your data workflows and ensuring your dashboards remain up-to-date with minimal manual effort.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tableau: {
type: "app",
app: "tableau",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.tableau.$auth.domain}/api/3.21/sessions/current`,
headers: {
"X-Tableau-Auth": `${this.tableau.$auth.oauth_access_token}`,
"Accept": `application/json`,
},
})
},
})