Sessions at EuroPython 2012 about Data Analysis and OLAP on Friday 6th July

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  • Cubes - Light-weight OLAP Framework and Server

    by Štefan Urbánek

    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”.

    References:

    • Github
    • Documentation
    • Blog
    • Project home
    • Example of an application using Cubes Slicer Server as backend
    • Project is using SQLAlchemy for relational database access and Werkzeug for the HTTP server.

    At 9:45am to 10:30am, Friday 6th July

    In Tagliatelle, Grand Hotel Mediterraneo

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