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Cubes - Light-weight OLAP Framework and Server

by Štefan Urbánek for EuroPython 2012

Cubes is a light-weight Python framework for Online Analytical Processing (OLAP), multidimensional analysis and (in the future) pre-aggregated cube computation. Main features are:

  • aggregation browser of multidimensional hierarchical data
  • logical model metadata (end user layer) description of how data are being analysed and reported, independent of physical data implementation
  • hierarchical dimensions (attributes that have hierarchical dependencies, such as category-subcategory or country-region)
  • localizable metadata and data Localization
  • OLAP server
  • modular back-end architecture

Intended use is aggregated browsing, slicing and dicing the data.

I would like to introduce the OLAP briefly and then the framework, explain the reason of the framework (alternative to corporate tools and over-bloated tools), explain basic principles, show how it can be used for multi-dimensional aggregations and to demonstrate how can one set-up OLAP HTTP server “in 15 minutes”.



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45 minutes (inc Q&A)

Tagged as

sqlalchemy postgresql database olap data-analysis sql
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