Getting your data from Amazon S3 to Power BI 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 Power BI 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 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.
Amazon S3 Data Warehousing
Amazon S3 Business Intelligence
Microsoft Power BI is a data analytics and sharing platform that works on-premises or on the cloud. This industry-leading BI tool scales to fit small jobs or big enterprise datasets. With Power BI, developers can easily add custom interactive dashboards, visuals, and reports to their apps and websites. Its permissions function gives the right people the right access to your data. Power BI connects to hundreds of data sources and outputs to any device. Add even more power and speed to Power BI with the Panoply integration. The Panoply ETL tool saves data prep time and effort by automatically uploading, sorting, and storing all your source data in one place. This all-in-one ETL pipeline manages and continuously streams the entire data flow process from input to output.
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