FullContact

Identity Resolution Platform

Integrate the FullContact API with the Snowflake API

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

Enrich Person with FullContact API on New Row from Snowflake API
Snowflake + FullContact
 
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Enrich Person with FullContact API on New Query Results from Snowflake API
Snowflake + FullContact
 
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Enrich Person with FullContact API on Failed Task in Schema from Snowflake API
Snowflake + FullContact
 
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Enrich Person with FullContact API on New Database from Snowflake API
Snowflake + FullContact
 
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Enrich Person with FullContact API on New Deleted Role from Snowflake API
Snowflake + FullContact
 
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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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New Deleted Role from the Snowflake API

Emit new event when a role is deleted

 
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Enrich Person with the FullContact API

Enrich a person. See documentation here

 
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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 FullContact

FullContact's API enriches contact information, letting you turn partial identities like an email address into a full profile including social presence, demographic data, and more. This is invaluable for enhancing customer understanding and personalizing interactions. By leveraging Pipedream's powerful integrations, you can automate workflows that consume FullContact's enriched data, facilitating tasks like lead enrichment, audience segmentation, and personalized marketing at scale.

Connect FullContact

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    full_contact: {
      type: "app",
      app: "full_contact",
    }
  },
  async run({steps, $}) {
    const data = {
      "email": `jane.smith@gmail.com`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.fullcontact.com/v3/person.enrich`,
      headers: {
        Authorization: `Bearer ${this.full_contact.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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

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import { promisify } from 'util'
import snowflake from 'snowflake-sdk'

export default defineComponent({
  props: {
    snowflake: {
      type: "app",
      app: "snowflake",
    }
  },
  async run({steps, $}) {
    const connection = snowflake.createConnection({
      ...this.snowflake.$auth,
      application: "PIPEDREAM_PIPEDREAM",
    })
    const connectAsync = promisify(connection.connect)
    await connectAsync()
    
    async function connExecuteAsync(options) {
      return new Promise((resolve, reject) => {
        connection.execute({
          ...options,
          complete: function(err, stmt, rows) {
            if (err) {
              reject(err)
            } else {
              resolve({stmt, rows})
            }
          }
        })
      })
    }
    
    // See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
    const { rows } = await connExecuteAsync({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
    })
    return rows
  },
})