HERE

Build location-aware apps and services using the world’s #1 location platform

Integrate the HERE API with the Snowflake API

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

Insert Multiple Rows with Snowflake API on Weather for ZIP Code from HERE API
HERE + Snowflake
 
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Insert Row with Snowflake API on Weather for ZIP Code from HERE API
HERE + Snowflake
 
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Weather for ZIP Code from the HERE API

Emits the weather report for a specific ZIP code on a schedule

 
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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 Database from the Snowflake API

Emit new event when a database is created

 
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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 HERE

The HERE API provides a suite of location-based services including maps, geocoding, places, routing, and traffic. With Pipedream, you can automate workflows that require real-time location intelligence. For instance, enhance logistics with dynamic routing, personalize customer interactions with geolocation data, or monitor assets by integrating location updates into your systems.

Connect HERE

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    here: {
      type: "app",
      app: "here",
    }
  },
  async run({steps, $}) {
    // Returns a sample set of weather observations for Berlin
    // See https://developer.here.com/documentation/weather/dev_guide/topics/example-weather-observation.html
    
    return await axios($, {
      url: `https://weather.ls.hereapi.com/weather/1.0/report.json?apiKey=${this.here.$auth.apikey}&product=observation&name=Berlin-Tegel`,
    })
  },
})

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
  },
})

Community Posts

Integrating Location Data into Pipedream Workflows
Integrating Location Data into Pipedream Workflows
Over the past few months, I've become somewhat enamored with a new service called Pipedream. Pipedream is yet another serverless solution with a bit of a twist. It makes it easy to build workflows by piecing together various actions like LEGO bricks. These actions are small pieces of programming logic that cover a wide variety of different services. You can connect these actions together along with the ability to write Node code for your own logic.