Google Cloud Translate
Dynamically translate between languages using Google machine learning
Integrate the Google Cloud Translate API with the Snowflake API
Setup the Google Cloud Translate API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Google Cloud Translate and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect Google Cloud Translate with Snowflake#
Popular Google Cloud Translate and Snowflake Triggers#
Overview of Google Cloud Translate#
The Google Cloud Translate API empowers developers to dynamically translate text between thousands of language pairs, integrate language translation into applications, websites, tools, and other solutions. By leveraging this API within Pipedream's serverless platform, you can create automated workflows that respond to events from hundreds of sources, transforming and routing your data to various destinations, all while breaking down language barriers.
Connect Google Cloud Translate#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_cloud_translate: {
type: "app",
app: "google_cloud_translate",
}
},
async run({steps, $}) {
const data = {
"q": `¡hola mundo!`,
"target": `en`,
}
return await axios($, {
method: "post",
url: `https://translation.googleapis.com/language/translate/v2?key=${this.google_cloud_translate.$auth.api_key}`,
headers: {
"Content-Type": `application/json; charset=utf-8`,
},
data,
})
},
})
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#
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
},
})