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.
KNIME is an open source platform that analyzes and integrates data and designs apps, services and reusable components. Machine learning, AI and predictive modeling are some of the advanced features of this powerful BI tool. With over 2000 modules, you can build your own end-to-end workflow or use one of hundreds of sample workflows to get started fast. Make your KNIME analytics work even faster by adding Panoply with one click. The Panoply KNIME integrator automates all the ETL work for you. It uploads data from any source in minutes, stores it in one place, and then simplifies and sorts the data. The all-in-one Panoply data stack seamlessly updates KNIME output in real time when your source data changes. So your KNIME analysis results are always clean, relevant and up to date.