Integrate the Zenkit API with the Snowflake API

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

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Popular Ways to Connect Zenkit with Snowflake#

Add Entry Comment with Zenkit API on New Row from Snowflake API

Snowflake + Zenkit

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Create Entry with Zenkit API on New Row from Snowflake API

Snowflake + Zenkit

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Get Entry with Zenkit API on New Row from Snowflake API

Snowflake + Zenkit

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Get List with Zenkit API on New Row from Snowflake API

Snowflake + Zenkit

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Get User with Zenkit API on New Row from Snowflake API

Snowflake + Zenkit

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Popular Zenkit 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 Activity (Instant) from the Zenkit API

Emit new event when there is new activity in Zenkit

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New Entry (Instant) from the Zenkit API

Emit new event when a new item/entry is created in Zenkit

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Popular Zenkit and Snowflake Actions#

Add Entry Comment with the Zenkit API

Add a comment to an entry/item within a list/collection on Zenkit. See the docs

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Create Entry with the Zenkit API

Create an entry/item in a list on Zenkit. See the docs

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Get Entry with the Zenkit API

Retrieve an entry/item from a list on Zenkit. See the docs

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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 List with the Zenkit API

Retrieve a list/collection from a workspace on Zenkit. See the docs

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Overview of Zenkit#

Zenkit is a versatile project management and collaboration tool that lets you organize your data and build custom workflows to streamline your business and personal projects. With the Zenkit API, you can create, read, update, and delete items in your collections, manage users, and automate notifications or actions based on changes within your datasets. Combining Zenkit's API with Pipedream's capability unlocks powerful automation opportunities, allowing you to interconnect your project data with numerous other services and internal systems to enhance productivity, data consistency, and event-driven processes.

Connect Zenkit#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zenkit: {
      type: "app",
      app: "zenkit",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://zenkit.com/api/v1/users/me`,
      headers: {
        Authorization: `Bearer ${this.zenkit.$auth.oauth_access_token}`,
      },
    })
  },
})

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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