Integrate the Mux API with the Snowflake API

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

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Popular Ways to Connect Mux with Snowflake#

Create Asset Track with Mux API on New Row from Snowflake API

Snowflake + Mux

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Create Asset with Mux API on New Row from Snowflake API

Snowflake + Mux

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Get Asset or Livestream ID with Mux API on New Row from Snowflake API

Snowflake + Mux

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Get Asset with Mux API on New Row from Snowflake API

Snowflake + Mux

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Create Asset Track with Mux API on New Query Results from Snowflake API

Snowflake + Mux

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Popular Mux 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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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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New Live Stream Active from the Mux API

Emit new event when a live-stream is set to active status.

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New Video Asset Ready from the Mux API

Emit new event when a video asset is set to ready status.

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Popular Mux and Snowflake Actions#

Create Asset with the Mux API

Create a new asset with a track. See the documentation

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Create Asset Track with the Mux API

Adds an asset track (for example, subtitles) to an asset. See the documentation

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Get Asset with the Mux API

Retrieves an asset. See the documentation

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Execute SQL Query with the Snowflake API

Execute a custom Snowflake query. See our docs to learn more about working with SQL in Pipedream.

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Get Asset or Livestream ID with the Mux API

Returns an Asset or Livestream ID from a Playback ID. See the documentation

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Overview of Mux#

Mux is a powerful API that simplifies the process of working with video and audio data. By leveraging Mux on Pipedream, you unlock the potential to automate video and audio streaming workflows, analyze media performance, and integrate seamlessly with other services to enrich your media content strategy. With Mux's ability to manage video assets, including uploading, encoding, and delivering content across devices, combined with Pipedream's serverless execution model, you can create dynamic, scalable, and highly customized media operations.

Connect Mux#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mux: {
      type: "app",
      app: "mux",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.mux.com/video/v1/assets`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.mux.$auth.access_key}`,
        password: `${this.mux.$auth.secret_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 snowflake from '@pipedream/snowflake';

export default defineComponent({
  props: {
    snowflake,
  },
  async run({ $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/snowflake
    
    return this.snowflake.executeQuery({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
      binds: [],
    });
  },
});

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