Integrate the Microsoft Excel API with the Snowflake API

Setup the Microsoft Excel API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Microsoft Excel and Snowflake remarkably fast. Free for developers.

Popular Ways to Connect Microsoft Excel with Snowflake#

Add A Worksheet Tablerow with Microsoft Excel API on New Row from Snowflake API

Snowflake + Microsoft Excel

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Update Worksheet Tablerow with Microsoft Excel API on New Row from Snowflake API

Snowflake + Microsoft Excel

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Add A Worksheet Tablerow with Microsoft Excel API on New Query Results from Snowflake API

Snowflake + Microsoft Excel

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Update Worksheet Tablerow with Microsoft Excel API on New Query Results from Snowflake API

Snowflake + Microsoft Excel

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Add A Worksheet Tablerow with Microsoft Excel API on Failed Task in Schema from Snowflake API

Snowflake + Microsoft Excel

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Popular Microsoft Excel and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

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New Item Updated (Instant) from the Microsoft Excel API

Emit new event when an item is updated.

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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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New Database from the Snowflake API

Emit new event when a database is created

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Popular Microsoft Excel and Snowflake Actions#

Add A Worksheet Tablerow with the Microsoft Excel API

Adds rows to the end of specific table. See the documentation

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Update Worksheet Tablerow with the Microsoft Excel API

Update the properties of tablerow object. (Only for work or school account) See the documentation

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Insert Single Row with the Snowflake API

Insert a row into a table

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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 Snowflake#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Connect Snowflake#

import { promisify } from 'util'
import snowflake from 'snowflake-sdk'

export default defineComponent({
  props: {
    snowflake: {
      type: "app",
      app: "snowflake",
    }
  },
  async run({steps, $}) {
    const connection = snowflake.createConnection({
      ...this.snowflake.$auth,
      application: "PIPEDREAM_PIPEDREAM",
    })
    const connectAsync = promisify(connection.connect)
    await connectAsync()
    
    async function connExecuteAsync(options) {
      return new Promise((resolve, reject) => {
        connection.execute({
          ...options,
          complete: function(err, stmt, rows) {
            if (err) {
              reject(err)
            } else {
              resolve({stmt, rows})
            }
          }
        })
      })
    }
    
    // See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
    const { rows } = await connExecuteAsync({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
    })
    return rows
  },
})