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with Microsoft Excel and Databricks?
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Popular Ways to Connect Microsoft Excel with Databricks#
Popular Microsoft Excel and Databricks Triggers#
Emit new event when when a specific cell's value changes in an Excel worksheet
Emit new event when when a new row is added to an Excel worksheet
Emit new event when a new Excel spreadsheet is created.
Emit new event when an Excel spreadsheet is updated.
Popular Microsoft Excel and Databricks Actions#
Adds rows to the end of specific table. See the documentation
Retrieve the output and metadata of a single task run. See the documentation
Insert a new row into a specified Excel worksheet. See the documentation
Find a row by column and value in an Excel worksheet. See the documentation
Overview of Microsoft Excel#
The Microsoft Excel API on Pipedream allows you to automate spreadsheet tasks, manipulate data, and integrate Excel with other apps and services. Through Pipedream, you can create serverless workflows that react to events, perform operations on Excel files like reading, writing, updating cells, and managing worksheets. This API turns Excel into a powerful tool for data analysis, report generation, and task automation without manual intervention.
Connect Microsoft Excel#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_excel: {
type: "app",
app: "microsoft_excel",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_excel.$auth.oauth_access_token}`,
},
})
},
})
Overview of Databricks#
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.
Connect Databricks#
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}`,
},
})
},
})
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