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ETL Amazon DynamoDB data with Trifacta

CATEGORY: Big Data & NoSQL      STATUS: Available

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Amazon DynamoDB is a fully managed proprietary NoSQL database service that supports key–value and document data structures.

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

 

Trifacta documentation

How to set up the connector in your Trifacta workspace.
 

Join Amazon DynamoDB data with any data source

Combine datasets from any data source with your Amazon DynamoDB data. Connect to any data - Trifacta'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 Amazon DynamoDB data with your Salesforce CRM data, an Excel or CSV file, or a JSON file, Trifacta's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Amazon DynamoDB Screenshot
 

Amazon DynamoDB to your data warehouse in minutes

ETL your Amazon DynamoDB data to the destination of your choice.
 

No-code automation for your Amazon DynamoDB data pipeline

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

Ensure quality data every time.

No matter how you need to combine and transform data stored in Amazon DynamoDB, ensure that the end result is high-quality data, every time. Trifacta 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 Amazon DynamoDB data pipelines with job scheduling so that the right data is in your Amazon DynamoDB database when you need it. When new data lands in your Amazon DynamoDB 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 Amazon DynamoDB data connector

  • ETL Amazon DynamoDB data to Amazon Redshift

  • ETL Amazon DynamoDB data to Google BigQuery

  • ETL Amazon DynamoDB data to Snowflake

  • ETL Amazon DynamoDB data to Databricks

  • ETL Amazon DynamoDB data to Microsoft Azure

  • Prepare Amazon DynamoDB data for data visualization in Tableau

  • Customer experience: Combine User’s web activity with purchase activity to provide a comprehensive user experience

  • Extract and Transform Data from Dynamodb to S3 for building analytics dashboard

 
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