Integrate the RudderStack Transformation API with the Go API

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

Popular RudderStack Transformation and Go Actions#

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

Try it

Overview of RudderStack Transformation#

The RudderStack Transformation API enables you to process and transform data before it's delivered to your data warehouse or other analytics tools. Within Pipedream, you can harness this API to customize the shape and structure of your data, apply business logic, filter out unnecessary information, or enrich data with additional attributes before forwarding it.

Connect RudderStack Transformation#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rudderstack_transformation: {
      type: "app",
      app: "rudderstack_transformation",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rudderstack.com/transformations`,
      auth: {
        username: `${this.rudderstack_transformation.$auth.email_address}`,
        password: `${this.rudderstack_transformation.$auth.personal_access_token}`,
      },
    })
  },
})

Overview of Go#

You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.

Connect Go#

package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}