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MongoDB ETL with Designer Cloud

CATEGORY: Big Data & NoSQL      STATUS: Available

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MongoDB is a source-available cross-platform document-oriented database program.

ETL data from business-critical applications such as Salesforce, HubSpot, ServiceNow, Zuora, etc. into MongoDB in seconds. With Designer Cloud's MongoDB data connector, you can transform, automate, and monitor your MongoDB data pipeline in real-time. No code required.

 

Trifacta documentation

How to set up the connector in your Trifacta workspace.

Dataprep documentation

How to set up the connector in your Trifacta Dataprep project.
 

Join MongoDB data with any data source

Combine datasets from any data source with your MongoDB database. Connect to any data - Designer Cloud's data integration workflow supports a wide variety of cloud data lakes, data warehouses, applications, open APIs, file systems, and allows for flexible execution, including SQL, dbt, Spark, and Python. Whether it's joining MongoDB data with your Salesforce CRM data, an Excel or CSV file, or a JSON file, Designer Cloud's visual workflow lets you interactively access, preview, and standardize joined data with ease.

MongoDB Screenshot
 

MongoDB to your data warehouse in minutes

ETL your MongoDB data to the destination of your choice.
 

No-code automation for your MongoDB ETL pipeline

Designer Cloud empowers everyone to easily build data engineering pipelines at scale. With a few simple clicks, automate your MongoDB data pipeline. No more tedious manual uploads, resource-intensive transformations, and waiting for scheduled tasks. Deploy and manage your self-service MongoDB data pipeline in minutes not months.

Ensure quality data every time.

No matter how you need to combine and transform data stored in MongoDB, ensure that the end result is high-quality data, every time. Designer Cloud automatically surfaces outliers, missing data, and errors and its predictive transformation approach allows you to make the best possible transformations to your data.

Schedule, automate, repeat.

Automate your MongoDB data pipelines with job scheduling so that the right data is in your MongoDB database when you need it. When new data lands in your MongoDB database, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.

 

"Designer Cloud allows us to quickly view and understand new datasets, and its flexibility supports our data transformation needs. The GUI is nicely designed, so the learning curve is minimal. Our initial data preparation work is now completed in minutes, not hours or days."

Henry Culver

IT Architect, Merkle

 

Use cases for the MongoDB data connector

  • ETL MongoDB data to Amazon Redshift

  • ETL MongoDB data to Google BigQuery

  • ETL MongoDB data to Snowflake

  • ETL MongoDB data to Databricks

  • ETL MongoDB data to MySQL

  • ETL MongoDB data to Microsoft Azure

  • Join MongoDB data with Google Sheets data

  • Prepare MongoDB data for data visualization in Tableau

 
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