Getting your data from Amazon DynamoDB to Birst 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 Birst 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.
Amazon DynamoDB Data Warehousing
Amazon DynamoDB Business Intelligence
With Birst’s user-friendly BI tools, enterprise users can get analytics on their data with one click. Big data is stored and processed on the cloud and shareable on multiple devices. Even the most complex business processes can be easily programmed into Birst for fast access. This platform’s built-in machine learning-based advanced algorithms and agile architecture meet the growing needs of enterprise business—speed, monetization, security and managed data sharing. Panoply with Birst saves you time and effort by continuously uploading, sorting and simplifying your data. This all-in-one ETL pipeline streams your processed, most relevant data in real time to your storage and output. Panoply is the only fully integrated cloud service that combines an automated ETL with a data warehouse.
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