Big Data Cloud
BigData Cloud provides the industry’s most performant, scalable and flexible APIs. Built for eCommerce, Ad Agencies, Financial Institution, Saas, CRM Systems.
Integrate the Big Data Cloud API with the Snowflake API
Setup the Big Data Cloud API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate Big Data Cloud and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect Big Data Cloud with Snowflake#
Popular Big Data Cloud and Snowflake Triggers#
Popular Big Data Cloud and Snowflake Actions#
Retrieve time zone data for a specified location. See the documentation
Obtain a user's location data based on their IP address. See the documentation
Convert a user's coordinates to a human-readable address. See the documentation
Overview of Big Data Cloud#
The Big Data Cloud API provides a suite of RESTful APIs for IP geolocation and various other data services that can enrich your applications with valuable insights. On Pipedream, you can integrate these APIs into serverless workflows to automate data collection, analysis, and decision-making processes. Whether you're looking to enhance user experience with location-based content, validate user data, or perform any number of data-enrichment tasks, Big Data Cloud can be a go-to resource within your Pipedream workflows.
Connect Big Data Cloud#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
big_data_cloud: {
type: "app",
app: "big_data_cloud",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api-bdc.net/data/country-by-ip`,
params: {
key: `${this.big_data_cloud.$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
},
})