Interzoid
AI & ML-based Data Engineering in the Cloud for better data - Connect to Cloud database tables, CSVs, etc with data workloads running entirely in the Cloud.
Integrate the Interzoid API with the Snowflake API
Setup the Interzoid API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Interzoid and Snowflake remarkably fast. Free for developers.
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Popular Ways to Connect Interzoid with Snowflake#
Popular Interzoid and Snowflake Triggers#
Popular Interzoid and Snowflake Actions#
Generate a Match Report using a dataset table or file (CSV/TSV/Excel). See the documentation
Retrieve a match score (likelihood of matching) between two individual names on a scale of 0-100. See the documentation
Retrieve a match score (likelihood of matching) from 0-100 between two organization names. See the documentation
Overview of Interzoid#
The Interzoid API offers a plethora of data-driven APIs that enable you to enrich, standardize, and deduplicate data across various fields such as demographics, financials, and text. With these capabilities, you can enhance data quality, drive better analytics, and create more intelligent workflows and applications. In Pipedream, you can integrate these APIs into serverless workflows, triggering actions based on various events, manipulating and routing data to other apps, services, or data stores with ease.
Connect Interzoid#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
interzoid: {
type: "app",
app: "interzoid",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.interzoid.com/getremainingcredits`,
params: {
license: `${this.interzoid.$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 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