Deepgram
Intelligent, high accuracy speech recognition built for business
Integrate the Deepgram API with the Snowflake API
Setup the Deepgram API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Deepgram and Snowflake remarkably fast. Free for developers.
Popular Deepgram and Snowflake Triggers#
Popular Deepgram and Snowflake Actions#
Retrieves details about the specified balance. See the documentation
Retrieves basic information about the specified project. See the documentation
Retrieves the details of the specified request sent to the Deepgram API for the specified project. See the documentation
Generates a list of outstanding balances for the specified project. See the documentation
Overview of Deepgram#
The Deepgram API offers powerful speech recognition capabilities, enabling you to transcribe, search, and analyze audio data with ease. With its cutting-edge machine learning models, you can uncover insights from voice conversations, automate content moderation, and enhance user experience by converting spoken words into text. Pipedream, as a serverless integration platform, empowers you to craft custom workflows that harness the potential of Deepgram. By connecting to various apps, you can automate complex tasks, analyze audio data on-the-fly, and respond to audio-driven events.
Connect Deepgram#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
deepgram: {
type: "app",
app: "deepgram",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.deepgram.com/v1/projects`,
headers: {
"Authorization": `Token ${this.deepgram.$auth.api_key}`,
},
})
},
})
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
},
})Community Posts#
