Freshly brewed clean data with analytical taste – that is what Data Brewery is for. The Python framework will allow you to:
- stream structured data from various sources (CSV, XLS, SQL database, Google spreadsheet) to various structured targets
- create analytical streams using flow-based programming: connect processing nodes together and let the structured data flow through them
- measure data properties, such as data quality or numerical statistics
- do advanced data mining in the future such as clustering or classification
You can use Brewery for analytical automation or just for ad-hoc analytical processing.
Project page is at databrewery.org. Source repository can be found at: