Getting your data from Amazon DynamoDB to Domo can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Amazon DynamoDB and Domo with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
Panoply comes ready for integration with your Amazon DynamoDB data. Within minutes, your DynamoDB data is available for quick, easy access, and can be connected and combined with other data sources seamlessly without requiring an in-house ETL or ELT process. Amazon DynamoDB is a NoSQL cloud database with automatic scaling and single digit millisecond latency. Panoply’s DynamoDB integration automatically uploads your NoSQL data directly into the Panoply Smart Data Warehouse, providing unlimited cloud storage. Once stored, your data analysts can quickly explore your IoT, mobile, advertising, and other NoSQL data from within Panoply, and generate custom reports and dashboards without any custom scripts.
Learn more:
Documentation
Amazon DynamoDB Data Warehousing
Amazon DynamoDB Business Intelligence
Domo is a seven-system platform built for business team and customer data management collaboration and monetization. With over 1000 data connectors, this BI tool stores all your data in one place and automatically updates it. Domo’s Card Builder tool visualizes your raw data in real time in minutes. Domo’s built-in functions make it easy to prep your data and create your own predictive models and alerts. Domo’s drop-and-drag ETL is easy for nonprogrammers. But you can make your Domo ETL work more powerful, faster and easier with Panoply’s one-click Domo integration. Panoply sorts, simplifies and manages your data and your entire ETL process. It’s the only fully integrated cloud service that combines an automated ETL with a data warehouse.
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