Integrate the Microsoft Power BI API with the MySQL API

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

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Popular Ways to Connect Microsoft Power BI with MySQL#

Execute Raw Query with MySQL API on Dataset Refresh Completed from Microsoft Power BI API

Microsoft Power BI + MySQL

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Execute Raw Query with MySQL API on Dataset Refresh Failed from Microsoft Power BI API

Microsoft Power BI + MySQL

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Execute Raw Query with MySQL API on New Dataset Refresh Created from Microsoft Power BI API

Microsoft Power BI + MySQL

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Add Rows to Dataset Table with Microsoft Power BI API on New Column from MySQL API

MySQL + Microsoft Power BI

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Add Rows to Dataset Table with Microsoft Power BI API on New or Updated Row from MySQL API

MySQL + Microsoft Power BI

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Popular Microsoft Power BI and MySQL Triggers#

Dataset Refresh Completed from the Microsoft Power BI API

Emits a new event when a dataset refresh operation has completed. See the documentation

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Dataset Refresh Failed from the Microsoft Power BI API

Emits an event when a dataset refresh operation has failed in Power BI. See the documentation

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New Dataset Refresh Created from the Microsoft Power BI API

Emit new event when a new dataset refresh operation is created. See the documentation

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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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Popular Microsoft Power BI and MySQL Actions#

Add Rows to Dataset Table with the Microsoft Power BI API

Adds new data rows to the specified table within the specified dataset from My workspace. See the documentation

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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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Cancel Dataset Refresh with the Microsoft Power BI API

Cancels a refresh operation for a specified dataset in Power BI. 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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Create Dataset with the Microsoft Power BI API

Creates a new Push Dataset in Power BI. See the documentation

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Overview of Microsoft Power BI#

The Microsoft Power BI API allows you to interact with your Power BI assets programmatically. With this API, you can embed your reports and dashboards into applications, manage Power BI datasets, push data into datasets for real-time dashboard updates, and automate your reporting workflows. On Pipedream, you can use this API to create intricate workflows that react to various triggers, like webhooks or schedules, and perform actions like refreshing datasets, posting to datasets, and managing Power BI assets.

Connect Microsoft Power BI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    microsoft_power_bi: {
      type: "app",
      app: "microsoft_power_bi",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.powerbi.com/v1.0/myorg/availableFeatures`,
      headers: {
        Authorization: `Bearer ${this.microsoft_power_bi.$auth.oauth_access_token}`,
      },
    })
  },
})

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);
  },
});

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