Klipfolio

Klipfolio is the new way everyday people and their teams make informed decisions, backed by data. Klipfolio is a data analytics cloud app for building and sharing real-time business dashboards and reports on web browsers, TV monitors and mobile devices. Klipfolio helps you stay in-the-know and in control of your business by giving you visibility into the KPIs and metrics that matter most.

Integrate the Klipfolio API with the Snowflake API

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

New Row from the Snowflake API

Emit new event when a row is added to a table

 
Try it
New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

 
Try it
Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

 
Try it
New Database from the Snowflake API

Emit new event when a database is created

 
Try it
New Deleted Role from the Snowflake API

Emit new event when a role is deleted

 
Try it
Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

 
Try it
Insert Single Row with the Snowflake API

Insert a row into a table

 
Try it

Overview of Klipfolio

The Klipfolio API opens a window to managing and automating your Klipfolio dashboards and data sources directly from Pipedream. With this API, you can programmatically create, update, and delete dashboards, Klips (widgets), and data sources. This allows you to integrate Klipfolio with a multitude of other services, triggering updates to your dashboards as data changes in other apps, or even automate the import and transformation of data for your Klipfolio visualizations.

Connect Klipfolio

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    klipfolio: {
      type: "app",
      app: "klipfolio",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.klipfolio.com/api/1.0/profile`,
      headers: {
        "kf-api-key": `${this.klipfolio.$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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
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
  },
})