Connecting to MongoDB
Overview
Solve your data challenges with Mongo DB. You can use Skypoint's built-in connector for importing data from MongoDB.
This document will guide you through the process of connecting MongoDB to SkyPoint Modern Data Stack Platform.
Prerequisite
You must have the following details to configure and import data using MongoDB import connector:
- Connection String
- Database Name.
❕ Note: You can refer to the Setting up MongoDB document to learn more about the Prerequisites.
To import data using MongoDB connector
Follow below steps to create a new dataflow for the MongoDB import connector:
- Go to Dataflow > Imports.
- Click New dataflow.
The Set dataflow name page appears.
- In the Set dataflow name page, type dataflow name in Name text area.
- Click Next.
The Choose connector page appears.
To add MongoDB
- In the Choose connector page, select MongoDB connector.
❕ Note: You can use the Search feature to find the connector. Also, the MongoDB connector can be found under Analytics and Developer Tools category.
- Enter Display Name for your dataflow in the text area.
- Enter Description for your dataflow in the text area.
- Click Next.
The MongoDB configuration page appears.
To configure MongoDB
Follow below steps to configure the connection to MongoDB:
- Enter Connection String in the text area.
- Enter Database name in the text area.
- Click Connect.
The Table Details columns appear.
- Enter the Table Details to process the data.
| Item | Description |
|---|---|
| Purpose | Option to assign a purpose (Data or Metadata) for each table. |
Data | Load customer data. |
Metadata | Load Metadata. |
| Table Name | Displays the imported table name. |
| Type | Displays the type of imported data. |
- Click Save.
Run, edit, and delete the imported data
Once you save the connector, the MongoDB connector gets displayed in the list of tables created in the Dataflow page.
| Item | Description |
|---|---|
| Name | Displays the name of the imported Dataflow. |
| Type | Displays connector type symbol. |
| Status | Indicates whether the data is imported successfully. |
| Tables Count | Displays the number of tables. |
| Created Date | Displays date of creation. |
| Last refresh type | Displays the refresh value. You can see the value is Full or Incremental after the last refresh of data. |
| Updated Date | Displays last modified date. |
| Last Refresh | Displays the latest refresh date. This date will get updated whenever you refresh the data. |
| Group by | Option to view the items in a specific Group (For example, name, type, status). |
- Select the horizontal ellipsis in the Actions column and do the following:
| If you want to | Then |
|---|---|
| Modify the Dataflow | Select Edit and modify the Dataflow. Click Save to apply your changes. |
| Execute the Dataflow | Select Run. |
| Bring the data to its previous state | Select Rollback. |
| Delete the Dataflow | Select Remove and then click the Delete button. All tables in the data source get deleted. |
| See the run history of the Dataflow | Select Run history. |
Next step
After completing the data import, start the Master Data Management (MDM) - Stitch process to develop a unified view of your customers.