Скачать или смотреть Stefan Urbanek - Data Warehouse and Conceptual Modeling with Cubes 1.0

PyData NYC 2014
Cubes is a light-weight framework for modelling of conceptual analytical data (part of OLAP) and aggregated browsing. Recent release of Cubes brings ability to build a heterogenous data warehouse – plug-in architecture for analytical backends (SQL, Mongo, Mixpanel, Google Analytics, custom, ...) and provide unified aggregation and conceptual browsing interface in Python or through HTTP/JSON. This talk will go through the main features of the new Cubes, such as: analytical workspace, pluggable models (model providers) and backends, authentication/authorization (for fine-tuning reporting in a restricted business environment), new modelling concepts and advanced SQL features. 00:00 Welcome!
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