Getting your data from Microsoft Azure SQL Data Warehouse 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 Microsoft Azure SQL Data Warehouse 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 newest data warehouse integrations is with Microsoft Azure SQL Data Warehouse.
It takes only a few minutes to setup Panoply’s integration with Azure SQL Data Warehouse, allowing businesses of all sizes to import their historical data using Panoply’s data connectors into their Azure SQL Data Warehouse with only a few clicks. With Panoply, your Azure SQL Data Warehouse can be populated with data from dozens of sources and can be analyzed along with any additional data sources you may collect. With Panoply, you can start ingesting data the pain-free way with Panoply for Microsoft Azure SQL Data warehouse.
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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