Integrate the Big Data Cloud API with the Filter API

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

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Popular Big Data Cloud and Filter 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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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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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 Filter#

The Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.

Connect Filter#

export default defineComponent({
  async run({ steps, $ }) {
    let condition = false
    if (condition == false) {
      $.flow.exit("Ending workflow early because the condition is false")
    } else {
        $.export("$summary", "Continuing workflow, since condition for ending was not met.")
    }
  },
})

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