with WatsonX AI and Microsoft Power BI?
Emits a new event when a dataset refresh operation has completed. See the documentation
Emits an event when a dataset refresh operation has failed in Power BI. See the documentation
Emit new event when a new dataset refresh operation is created. See the documentation
Adds new data rows to the specified table within the specified dataset from My workspace. See the documentation
Cancels a refresh operation for a specified dataset in Power BI. See the documentation
Creates a new Push Dataset in Power BI. See the documentation
Triggers a refresh operation for a specified Power BI dataset. See the documentation
Triggers a refresh operation for a specified Power BI dataset. See the documentation
The WatsonX AI API offers a robust suite of AI capabilities from IBM, designed to integrate advanced machine learning and cognitive computing into various applications. With these APIs, you can enhance your apps with AI-driven features such as language understanding, speech to text conversion, and visual recognition. Using Pipedream, these capabilities can be seamlessly integrated into automated workflows, allowing you to connect WatsonX AI with other services and automate complex tasks efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
watsonx_ai: {
type: "app",
app: "watsonx_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.watsonx_ai.$auth.region}.ml.cloud.ibm.com/ml/v4/deployments`,
headers: {
Authorization: `Bearer ${this.watsonx_ai.$auth.oauth_access_token}`,
},
params: {
version: `2023-07-07`,
},
})
},
})
The Microsoft Power BI API allows you to interact with your Power BI assets programmatically. With this API, you can embed your reports and dashboards into applications, manage Power BI datasets, push data into datasets for real-time dashboard updates, and automate your reporting workflows. On Pipedream, you can use this API to create intricate workflows that react to various triggers, like webhooks or schedules, and perform actions like refreshing datasets, posting to datasets, and managing Power BI assets.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_power_bi: {
type: "app",
app: "microsoft_power_bi",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.powerbi.com/v1.0/myorg/availableFeatures`,
headers: {
Authorization: `Bearer ${this.microsoft_power_bi.$auth.oauth_access_token}`,
},
})
},
})