Affinda
Use AI to do your document processing, and free your team to do the real work
Integrate the Affinda API with the Snowflake API
Setup the Affinda API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Affinda and Snowflake remarkably fast. Free for developers.
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Popular Ways to Connect Affinda with Snowflake#
Popular Affinda and Snowflake Triggers#
Emit new event when a document parsing is completed in Affinda See docs here
Emit new event when a document is validated in Affinda. See docs here
Run a SQL query on a schedule, triggering a workflow for each row of results
Overview of Affinda#
The Affinda API offers a suite of powerful tools for document analysis and extraction, enabling you to automate the processing of resumes, invoices, bank statements, and other documents. By parsing detailed information from documents, Affinda can transform unstructured data into structured, actionable insights. With Pipedream, you can integrate Affinda's capabilities into serverless workflows, connecting to hundreds of apps to automate tasks like candidate screening, financial data aggregation, or content management.
Connect Affinda#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
affinda: {
type: "app",
app: "affinda",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.affinda.$auth.api}.affinda.com/v3/organizations`,
headers: {
Authorization: `Bearer ${this.affinda.$auth.api_key}`,
"Accept": `application/json`,
},
})
},
})
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: [],
});
},
});Trusted by 1,000,000+ developers from startups to Fortune 500 companies