Integrate the Maestra API with the Snowflake API

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

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Popular Ways to Connect Maestra with Snowflake#

Translate File with Maestra API on New Row from Snowflake API

Snowflake + Maestra

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Upload File with Maestra API on New Row from Snowflake API

Snowflake + Maestra

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Translate File with Maestra API on New Query Results from Snowflake API

Snowflake + Maestra

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Upload File with Maestra API on New Query Results from Snowflake API

Snowflake + Maestra

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Execute Query with Snowflake API on New File Added from Maestra API

Maestra + Snowflake

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Popular Maestra and Snowflake Triggers#

New File Added from the Maestra API

Emit new event when a new file is added to a project in Maestra. See the documentation

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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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Popular Maestra and Snowflake Actions#

Translate File with the Maestra API

Translates an existing file in the Maestra system. See the documentation

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Upload File with the Maestra API

Initiates a new file upload to Maestra. 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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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 Maestra#

The Maestra API lets you automate the transcription, captioning, and voiceover of videos and audios, crucial for creating accessible and localized content. With Pipedream, you can build workflows that trigger on various events to streamline media processing, integrate with other services, and manage content efficiently. Pipedream's serverless platform offers a code-free way to connect the Maestra API with hundreds of other apps, enabling you to create custom automation without the heavy lifting.

Connect Maestra#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    maestra: {
      type: "app",
      app: "maestra",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.maestra.$auth.base_url}/api/getCredits`,
      headers: {
        "apiKey": `${this.maestra.$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 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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