Integrate the Snowflake API with the Google PaLM API

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

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Popular Ways to Connect Snowflake with Google PaLM#

Chat with Google PaLM API on New Row from Snowflake API

Snowflake + Google PaLM

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Generate Embeddings with Google PaLM API on New Row from Snowflake API

Snowflake + Google PaLM

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Generate Text with Google PaLM API on New Row from Snowflake API

Snowflake + Google PaLM

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Chat with Google PaLM API on New Query Results from Snowflake API

Snowflake + Google PaLM

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Generate Embeddings with Google PaLM API on New Query Results from Snowflake API

Snowflake + Google PaLM

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Popular Snowflake and Google PaLM 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 Database from the Snowflake API

Emit new event when a database is created

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New Deleted Role from the Snowflake API

Emit new event when a role is deleted

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Popular Snowflake and Google PaLM Actions#

Chat with the Google PaLM API

Chat using Google PaLM. See the docs here

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Generate Embeddings with the Google PaLM API

Generate embeddings using Google PaLM. See the docs here

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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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Generate Text with the Google PaLM API

Generate text using Google PaLM. 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 PaLM#

The Google PaLM API is a cutting-edge language model that allows developers to integrate advanced natural language understanding into their applications. On Pipedream, you can harness this power to create serverless workflows that react to various triggers and perform actions based on the insights and outputs from PaLM. Whether it's generating content, summarizing text, or understanding user intent, PaLM's capabilities can be integrated into Pipedream workflows to automate complex tasks involving language.

Connect Google PaLM#

import { v1beta2 } from "@google-ai/generativelanguage";
import { GoogleAuth } from "google-auth-library";

export default defineComponent({
  props: {
    google_palm_api: {
      type: "app",
      app: "google_palm_api",
    }
  },
  async run({ steps, $ }) {
    const client = new v1beta2.TextServiceClient({
      authClient: new GoogleAuth().fromAPIKey(this.google_palm_api.$auth.palm_api_key),
    });

    const text = "Repeat after me: one, two,";
    const model = "models/text-bison-001";

    return await client
      .generateText({
        model,
        prompt: {
          text,
        },
      })
  },
})

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