with dbt Cloud and Microsoft Azure SQL Database?
Retrieve information about an environment. See the documentation
Executes a SQL query and returns the results. See the documentation
Retrieve information about a run artifact. See the documentation
The dbt Cloud API allows users to initiate jobs, check on their status, and interact with dbt Cloud programmatically. On Pipedream, you can harness this functionality to automate workflows, such as triggering dbt runs, monitoring your data transformation jobs, and integrating dbt Cloud with other data services. By leveraging Pipedream's serverless platform, you can create custom workflows that act on dbt Cloud events or use the dbt Cloud API to manage your data transformation processes seamlessly.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dbt: {
type: "app",
app: "dbt",
}
},
async run({steps, $}) {
const baseUrl = this.dbt.$auth.access_url || `https://${this.dbt.$auth.region}.com/`
return await axios($, {
url: `${baseUrl}api/v3/accounts/`,
headers: {
"Authorization": `Token ${this.dbt.$auth.api_key}`,
"Accept": `application/json`,
},
})
},
})
The Microsoft Azure SQL Database API allows you to manage and interact with your SQL databases hosted on Azure directly from Pipedream. It provides a serverless way to run SQL queries, manage tables, and handle database management tasks. You can create, read, update, and delete database records, execute stored procedures, and perform a variety of other SQL operations. Leveraging this API on Pipedream enables you to automate workflows, respond to database events in real-time, and integrate with countless other apps and services.
import azure_sql from '@pipedream/azure_sql';
export default defineComponent({
props: {
azure_sql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/azure_sql
const queryObj = {
query: "SELECT GETDATE()",
values: [],
};
return await this.azure_sql.executeQuery(queryObj);
},
});