Integrate the Big Data Cloud API with the Data Stores API

Setup the Big Data Cloud API trigger to run a workflow which integrates with the Data Stores API. Pipedream's integration platform allows you to integrate Big Data Cloud and Data Stores remarkably fast. Free for developers.

Popular Big Data Cloud and Data Stores Actions#

Get Time Zone by Location with the Big Data Cloud API

Retrieve time zone data for a specified location. See the documentation

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Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

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Perform IP Geolocation with the Big Data Cloud API

Obtain a user's location data based on their IP address. See the documentation

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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

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Reverse Geocode with the Big Data Cloud API

Convert a user's coordinates to a human-readable address. See the documentation

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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 Data Stores#

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores#

export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})