Integrate the Team Up API with the Snowflake API

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

Popular Ways to Connect Team Up with Snowflake#

Create Event with Team Up API on New Row from Snowflake API

Snowflake + Team Up

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Delete Event with Team Up API on New Row from Snowflake API

Snowflake + Team Up

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List Events with Team Up API on New Row from Snowflake API

Snowflake + Team Up

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Update Event with Team Up API on New Row from Snowflake API

Snowflake + Team Up

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Create Event with Team Up API on New Query Results from Snowflake API

Snowflake + Team Up

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Popular Team Up 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 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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Event Created from the Team Up API

Emit new event when an event is created See docs here

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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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Event Deleted from the Team Up API

Emit new event when an event is deleted See docs here

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Popular Team Up and Snowflake Actions#

Create Event with the Team Up API

Create an event See docs here

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Delete Event with the Team Up API

Delete an event See docs here

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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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List Events with the Team Up API

Get a list of events based on search criteria See docs here

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Overview of Team Up#

The Team Up API allows you to interact with your Team Up calendars programmatically, enabling the automation of event creation, updates, and deletion, as well as the retrieval of calendar data. By integrating the Team Up API with Pipedream, you can build workflows that trigger on specific events, automate tasks, and connect your calendar data with countless other services, bringing efficiency to team coordination and event management.

Connect Team Up#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    team_up: {
      type: "app",
      app: "team_up",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.teamup.com/{your_calendar_id}/events`,
      headers: {
        "Content-Type": `application/json`,
        "Teamup-Token": `${this.team_up.$auth.api_key}`,
      },
    })
  },
})

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
  },
})