We are a leader in #DataIntegration and #DataManagement – taking the work out of working with data.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
List all plan executions the user is granted visibility on. For each plan execution returns execution and plan identifiers, start and finish timestamps, execution status and counters on done and planned executables within plan. See the documentation.
Get detailed status of one plan execution. See the documentation.
The Talend API provides a robust toolkit for data integration and management, enabling the automation of tasks such as data extraction, transformation, and loading (ETL). By leveraging the Talend API within Pipedream, you can create intricate workflows that automate data operations, integrate with various data sources, and orchestrate data pipelines. It's a tool designed for data professionals seeking to streamline data processes and ensure data quality across their systems.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
talend: {
type: "app",
app: "talend",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.${this.talend.$auth.endpoint}.cloud.talend.com/account/users`,
headers: {
Authorization: `Bearer ${this.talend.$auth.persona_access_token}`,
"Accept": `application/json`,
},
})
},
})
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.
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)
}