Intellexer API
The Intellexer API enables developers to embed Intellexer semantic products into consumer or enterprise applications or web-services using XML or JSON.
Integrate the Intellexer API API with the Snowflake API
Setup the Intellexer API API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Intellexer API and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect Intellexer API with Snowflake#
Popular Intellexer API and Snowflake Triggers#
Popular Intellexer API and Snowflake Actions#
Recognize language and encoding of an input text stream. See the documentation
Extract named entities from a document using Intellexer API. See the documentation
Summarize a document using Intellexer API. See the documentation
Summarize text using Intellexer API. See the documentation
Overview of Intellexer API #
The Intellexer API offers a suite of linguistic and semantic analysis tools that can enhance text-based applications. With it, you can extract meaning, relations, and facts from the text, enabling smarter data management and decision-making processes. When paired with Pipedream's serverless execution model, the Intellexer API can be used to automate content analysis, enhance search functionalities, and preprocess data for more complex workflows.
Connect Intellexer API #
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
intellexer_api: {
type: "app",
app: "intellexer_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `http://api.intellexer.com/sentimentAnalyzerOntologies`,
headers: {
"Content-Type": `application/json`,
},
params: {
apikey: `${this.intellexer_api.$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
},
})