Confection collects, stores, and distributes data in a way that's unaffected by client-side disruptions involving cookies, cross-domain scripts, and device IDs. It's also compliant with global privacy laws so it’s good for people too.
Run a SQL query on a schedule, triggering a workflow for each row of results
Emit new event when a UUID receives a value for the configured Event Name. The latest value as well a history of all values ever received for that Event Name will be returned.
Emit new event when the UUID is significant enough to be classified as a lead. You define the field of significance and if a UUID gets a value for this field, it will trigger.
This action will retrieve the full details of a specified UUID.
This action will retrieve all UUIDs that have a likeness score of at least 50 (default) with the provided UUID. The likeness score can be customized in configuration.
Confection API provides a robust solution for collecting, managing, and utilizing user data in compliance with privacy regulations. It helps businesses capture data lost due to ad blockers and privacy tech, ensuring you don't miss out on valuable insights. With Pipedream, you can harness this data in real-time, triggering actions, analyzing trends, or integrating with other services for a comprehensive data strategy.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
confection: {
type: "app",
app: "confection",
}
},
async run({steps, $}) {
const data = {
"key": `${this.confection.$auth.secret_key}`,
}
return await axios($, {
url: `https://transmission.confection.io/${this.confection.$auth.account_id}/account/`,
data,
})
},
})
Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.
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.
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.
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.
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: [],
});
},
});