The CloverETL Profiler, software for data profiling, works to examine data in existing data sources and collect statistical information about said data. Through this process, the profiler eliminates the guesswork in analysis, revealing an understanding of what data actually exists and what needs to be improved. Part of the CloverETL Data Integration family, the Profiler is an added tool to the enhanced toolset. Whether employed as a standalone job or part of a greater project, the CloverETL Profiler, as named, operates with the same Engine as CloverETL, offering high performance, speed, and easy deployment in a data environment.
iLAP (Laboratory data management, Analysis, and Protocol development) is a workflow-driven information management system specifically designed to create and manage experimental protocols and to analyze and share laboratory data. The system combines experimental protocol development, wizard-based data acquisition, and high-throughput data analysis into a single, integrated system.
CloverETL is Java-based tool/framework for data integration and creation of data transformations. It is component based and follows the concept of transformation graphs which consist of individual nodes/components performing simple (or complex) operations on data. Any transformation can be defined as a set of interconnected nodes through which data flows. CloverETL can be used as a standalone application or be embedded into a larger project.