Singer is an open source tool that helps bring order to the messy world of custom ETL scripts. Singer allows users to mix and match inputs and outputs, making their ETL processes much more modular–and therefore easier to run and maintain. Singer uses JSON to move all data between sources and destinations, so you won’t have to worry about incompatible formats once you’ve set your ETL tasks up to run. Panoply’s integration with Singer makes it easy to move data from anywhere with a supported tap–Singer’s term for a data collection script–into an automated cloud warehouse. And since Singer is open source and supported by a broad community of developers, if you can’t find the tap you need, you can just write your own, without having to worry about building loading functions for Panoply.
IBM Cognos Analytics is a self-service AI-driven analytics platform designed to meet the business intelligence needs of individuals and enterprises. This paid BI tool uses pattern detection to create complex visualizations and provide answers to your own unique data questions.
Get your analysis results faster and always up to date with Panoply’s IBM Cognos integration. Panoply uploads data in minutes and sorts, simplifies and manages for you. Its all-in-one automated ETL pipeline speeds your data processing and seamlessly updates IBM Cognos with the most current data. And you get the security, reliability and reach of the Amazon AWS cloud with Panoply.