Zamzar

Online file conversion website.

Integrate the Zamzar API with the Snowflake API

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

Create Content File with Zamzar API on New Row from Snowflake API
Snowflake + Zamzar
 
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Retrieve Job with Zamzar API on New Row from Snowflake API
Snowflake + Zamzar
 
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Start Job From File with Zamzar API on New Row from Snowflake API
Snowflake + Zamzar
 
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Create Content File with Zamzar API on New Query Results from Snowflake API
Snowflake + Zamzar
 
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Retrieve Job with Zamzar API on New Query Results from Snowflake API
Snowflake + Zamzar
 
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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 Conversion Job from the Zamzar API

Emit new event when a conversion job has completed. See the documentation

 
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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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New File from the Zamzar API

Emit new event when a file has been converted successfully. See the documentation

 
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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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Create Content File with the Zamzar API

Creates a file from the provided content. See the documentation

 
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Retrieve Job with the Zamzar API

Finds the file that has been processed under the specified job id. See the documentation

 
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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
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Start Job From File with the Zamzar API

Starts a conversion job and upload a source file in a single request. See the documentation

 
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Insert Single Row with the Snowflake API

Insert a row into a table

 
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Overview of Zamzar

The Zamzar API on Pipedream provides powerful file conversion capabilities, allowing you to easily automate the process of converting files between different formats. With Pipedream's serverless platform, you can set up workflows that trigger conversions, handle the completed files, and integrate with other services for a seamless automation experience. From document conversion for data analysis to prepping media files for different platforms, Zamzar's API coupled with Pipedream's robust functionality opens up a world of possibilities for streamlining tasks.

Connect Zamzar

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zamzar: {
      type: "app",
      app: "zamzar",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.zamzar.com/v1/account`,
      auth: {
        username: `${this.zamzar.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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
  },
})