Hi, I'm working on a light-weight OLAP framework called Cubes: http://databrewery.org/cubes.html
Currently the most complete backend is SQL backend which uses SQLAlchemy for snowflake-schema query construction, based on logical multi-dimensional model description. I thought that someone from this list might be interested. Here are three quite new tutorials: 1. Getting started: http://blog.databrewery.org/post/12966527920/cubes-tutorial-1-getting-started 2. Logical model and physical table mappings: http://blog.databrewery.org/post/13255558153/cubes-tutorial-2-model-and-mappings 3. Hierarchies, levels and drilling-down: http://blog.databrewery.org/post/13457860520/how-to-hierarchies-levels-and-drilling-down The tutorial sources with data and models can be found within the Cubes sources: https://github.com/Stiivi/cubes Note that the current SQL backend is based on creating a denormalized view, therefore is not the fastest one. However, I would like to have more advanced backends in the future. I would like to hear what do you think about it. Also, I am looking for someone who would like to help, at least by giving a feedback (mostly about usability, design decisions and bugs). Regards, Stefan Urbanek data analyst and data brewmaster Twitter: @Stiivi Home: http://stiivi.com Brewery: http://databrewery.org Github: https://github.com/Stiivi -- You received this message because you are subscribed to the Google Groups "sqlalchemy" group. To post to this group, send email to sqlalchemy@googlegroups.com. To unsubscribe from this group, send email to sqlalchemy+unsubscr...@googlegroups.com. For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en.
