Analyze your Amazon S3 data in Count
Getting your data from Amazon S3 to Count 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 S3 and Count 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.
How it works
Automatically sync and store the data you want with table-level control.
See the Amazon S3 data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Amazon S3 in minutes
Panoply provides end to end data automation, from extraction to analysis, all with an ETL-free pipeline that is capable of connecting to both structured and semi-structured data sources. One of its most popular integrations is with Amazon Simple Storage Service, known as Amazon S3, a cloud based scalable storage solution.
It takes only a few minutes to setup Panoply’s integration with Amazon S3, allowing businesses of all sizes to import their historical data to the Panoply platform with only a few clicks. With Panoply, your Amazon S3 data will quickly become a part of your data warehouse and can be analyzed along with any additional data sources you may collect. With Panoply, you can start turning your Amazon S3 storage into useable data, all without any additional custom scripts.
Learn more:
Documentation
Amazon S3 Data Warehousing
Amazon S3 Business Intelligence
Other connectors with Amazon S3
Integrate with Count in minutes
With Count, users get the power of notebook-centric BI and the flexibility of drag-and-drop query creation designed. This innovative BI platform enables users to build and share “data stories” that combine text, charts, and other content to create rich interactive reports that make both data and insights easy to understand. Count’s notebook interface is designed not only for report building, but also for cleaning data, building internal apps, and producing data dictionaries and other reference materials. Plus, Count is fully GDPR compliant and doesn’t store your data on its servers so your data is secure and you can get started in minutes.
Other connectors with Count
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