Badger Maps

The #1 Route Planner for Field Sales.

Integrate the Badger Maps API with the Snowflake API

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

Create Account with Badger Maps API on New Row from Snowflake API
Snowflake + Badger Maps
 
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Create Check-In with Badger Maps API on New Row from Snowflake API
Snowflake + Badger Maps
 
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Get Account with Badger Maps API on New Row from Snowflake API
Snowflake + Badger Maps
 
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Retrieve Check-Ins with Badger Maps API on New Row from Snowflake API
Snowflake + Badger Maps
 
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Search User with Badger Maps API on New Row from Snowflake API
Snowflake + Badger Maps
 
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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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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

 
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New Check-In Created from the Badger Maps API

Emit new event each time a new check-in is created.

 
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New Database from the Snowflake API

Emit new event when a database is created

 
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Create Account with the Badger Maps API

Creates an account. See the docs.

 
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Create Check-In with the Badger Maps API

Creates a check-in. See the docs.

 
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Get Account with the Badger Maps API

Gets an account. See the docs.

 
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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
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Retrieve Check-Ins with the Badger Maps API

Retrieves check-ins. See the docs.

 
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Overview of Badger Maps

The Badger Maps API offers interaction with a platform designed for field sales; it allows you to optimize routes, manage territories, and explore customer locations. Combining the Badger Maps API with Pipedream's capabilities enables the automation of sales processes, integration with CRM systems, and enhancement of data analytics. You can build workflows that respond to events in real-time, sync data across multiple platforms, and create custom triggers and actions that cater specifically to your sales strategies.

Connect Badger Maps

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    badger_maps: {
      type: "app",
      app: "badger_maps",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://badgerapis.badgermapping.com/api/2/profiles/`,
      headers: {
        "Token": `${this.badger_maps.$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

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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
  },
})