Getting your data from Amazon DynamoDB to Apache Zeppelin 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 Apache Zeppelin 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
The Apache Zepplin notebook is an open-source BI tool that creates sharable data analytics documents. With Zeppelin’s web-based tool, you can ingest, discover, analyze, and visualize data and create interactive charts. Zeppelin supports more than 20 data interpreters including Spark, SQL, and PostgreSQL as back-end plugins. If your business needs big data analysis in Zeppelin, adding the Panoply integration tool gives you enterprise-level support, smooth data operations, power, and speed. Panoply’s automated pipeline manages the entire ETL process on the secure cloud. It continuously uploads, sorts, and simplifies data from any source and stores it in one place. The all-in-one Panoply ETL streams your latest data to your output. So your analysis results are always based on your latest, most relevant data.
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