Labcoat empowers data analysts, data scientists, and developers to integrate, analyze, and visualize large amounts of data.
Precog (www.precog.com), the market-leading provider of infrastructure for data warehousing and analysis, today announced that it has released an early preview version of an interactive data analysis tool called Labcoat. Labcoat empowers data analysts, data scientists, and developers to integrate, analyze, and visualize massive volumes of semi-structured data.
Powered by the Precog data analysis platform, Labcoat allows users to run arbitrary Quirrel scripts across large amounts of data. Quirrel is a simple but powerful language designed for the analytical and statistical analysis of large, semi-structured data sets. By supporting Quirrel, Labcoat allows users to answer big data questions that previously would have required substantial software engineering resources to answer.
... Labcoat by Precog launches with a virtual file system, query manager, query results, query editor as well as online documentation and tutorials. The query manager is used to save and load queries, whereas the query editor is used to interactively develop and run queries. In the early preview version of Labcoat, developers can experiment with sample data, such as the London Summer Games or sales transactions, by running preloaded queries or by creating custom queries.
Labcoat by Precog will soon allow users to upload their own data by using a simple drag-and-drop interface in the virtual file system pane. To stay informed about this and other upcoming features, please subscribe to the Precog Newsletter at www.precog.com.
To experiment with the Labcoat application, please go to labcoat.precog.com