ExploreTemplatesDocsPricingBlogCommunity
Sign in
Sign up

Microsoft Power BI

Visualize any data and integrate the visuals into the apps you use every day with Power BI, a unified platform for self-service and business intelligence.

Explore
/
Apps
/
Microsoft Power BI
/
MongoDB

Integrate the Microsoft Power BI API with the MongoDB API

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

Popular Ways to Connect Microsoft Power BI with MongoDB

Add Rows to Dataset Table with Microsoft Power BI API on New Collection from MongoDB API
MongoDB + Microsoft Power BI
 
Try it
Add Rows to Dataset Table with Microsoft Power BI API on New Database from MongoDB API
MongoDB + Microsoft Power BI
 
Try it
Add Rows to Dataset Table with Microsoft Power BI API on New Document from MongoDB API
MongoDB + Microsoft Power BI
 
Try it
Add Rows to Dataset Table with Microsoft Power BI API on New Field in Document from MongoDB API
MongoDB + Microsoft Power BI
 
Try it
Cancel Dataset Refresh with Microsoft Power BI API on New Collection from MongoDB API
MongoDB + Microsoft Power BI
 
Try it

Popular Microsoft Power BI and MongoDB Triggers

Dataset Refresh Completed from the Microsoft Power BI API

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

 
Try it
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

 
Try it
New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

 
Try it
New Dataset Refresh Created from the Microsoft Power BI API

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

 
Try it
New Database from the MongoDB API

Emit new an event when a new database is added

 
Try it

Popular Microsoft Power BI and MongoDB 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

 
Try it
Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

 
Try it
Cancel Dataset Refresh with the Microsoft Power BI API

Cancels a refresh operation for a specified dataset in Power BI. See the documentation

 
Try it
Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

 
Try it
Create Dataset with the Microsoft Power BI API

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

 
Try it

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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
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 MongoDB

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})
Pipedream, Inc. — San Francisco, CA
AboutTwitterDocsCommunityTermsPrivacy