Integrate the Snowflake API with the Google Analytics API

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

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Popular Ways to Connect Snowflake with Google Analytics#

Create GA4 Property with Google Analytics API on New Row from Snowflake API

Snowflake + Google Analytics

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Create Key Event with Google Analytics API on New Row from Snowflake API

Snowflake + Google Analytics

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Run Report in GA4 with Google Analytics API on New Row from Snowflake API

Snowflake + Google Analytics

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Run Report with Google Analytics API on New Row from Snowflake API

Snowflake + Google Analytics

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Create GA4 Property with Google Analytics API on New Query Results from Snowflake API

Snowflake + Google Analytics

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Popular Snowflake and Google Analytics 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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New Page Opened from the Google Analytics API

Emit new event when a page is viewed

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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 Snowflake and Google Analytics Actions#

Create GA4 Property with the Google Analytics API

Creates a new GA4 property. See the documentation

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Create Key Event with the Google Analytics API

Creates a new key event. 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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Run Report with the Google Analytics API

Return report metrics based on a start and end date. See the docs here

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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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: [],
    });
  },
});

Overview of Google Analytics#

The Google Analytics API unlocks the power of your analytics data, enabling automated access to custom reports, real-time statistics, and user behavior analysis. With it, you can extract actionable insights, push data to other platforms, and tailor your business strategy with precision. Leveraging Pipedream's serverless platform, these capabilities can be seamlessly integrated into workflows that trigger actions in other apps, send alerts, or even feed data warehouses for deeper analysis.

Connect Google Analytics#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_analytics: {
      type: "app",
      app: "google_analytics",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.google_analytics.$auth.oauth_access_token}`,
      },
    })
  },
})

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