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.
Let’s face it: R may be your preferred way to do to perform machine learning and analytics. It has everything: dplyr, gglot, and shiny—maybe your own packages. But your business users just can’t hang. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no code required.
Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between R and the BI tool your coworkers rely on—power both with Panoply.