Integrate the MySQL API with the Big Data Cloud API

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

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Popular Ways to Connect MySQL with Big Data Cloud#

Get Time Zone by Location with Big Data Cloud API on New Column from MySQL API

MySQL + Big Data Cloud

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Get Time Zone by Location with Big Data Cloud API on New or Updated Row from MySQL API

MySQL + Big Data Cloud

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Get Time Zone by Location with Big Data Cloud API on New Row (Custom Query) from MySQL API

MySQL + Big Data Cloud

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Get Time Zone by Location with Big Data Cloud API on New Row from MySQL API

MySQL + Big Data Cloud

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Get Time Zone by Location with Big Data Cloud API on New Table from MySQL API

MySQL + Big Data Cloud

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Popular MySQL and Big Data Cloud Triggers#

New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

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New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

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Popular MySQL and Big Data Cloud Actions#

Execute SQL Query with the MySQL API

Execute a custom MySQL query. See our docs to learn more about working with SQL in Pipedream.

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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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Create Row with the MySQL API

Adds a new row. See the docs here

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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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Delete Row with the MySQL API

Delete an existing row. See the docs here

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Overview of MySQL#

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL#

import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    return await this.mysql.executeQuery(queryObj);
  },
});

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}`,
      },
    })
  },
})

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