with Tableau and Google Vertex AI?
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
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
Returns a list of projects on the specified site. See the documentation
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`,
},
})
},
})
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})