Snowflake
A data warehouse built for the cloud
Integrate the Snowflake API with the Microsoft Azure AI Translator API
Setup the Snowflake API trigger to run a workflow which integrates with the Microsoft Azure AI Translator API. Pipedream's integration platform allows you to integrate Snowflake and Microsoft Azure AI Translator remarkably fast. Free for developers.
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Popular Ways to Connect Snowflake with Microsoft Azure AI Translator#
Popular Snowflake and Microsoft Azure AI Translator Triggers#
Popular Snowflake and Microsoft Azure AI Translator Actions#
Identifies the positioning of sentence boundaries in a piece of text. See the documentation
Identifies the language of a piece of text. See the documentation
Translate text into the specified language. See the documentation
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 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: [],
});
},
});Connect Microsoft Azure AI Translator#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_azure_ai_translator: {
type: "app",
app: "microsoft_azure_ai_translator",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.microsoft_azure_ai_translator.$auth.endpoint}/languages`,
headers: {
"Ocp-Apim-Subscription-Key": `${this.microsoft_azure_ai_translator.$auth.api_key}`,
"Ocp-Apim-Subscription-Region": `${this.microsoft_azure_ai_translator.$auth.location}`,
"Content-Type": `application/json`,
},
params: {
"api-version": `3.0`
},
})
},
})
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