253a01aa26
Processing (OLAP), multidimensional analysis and browsing of aggregated data. Features: * OLAP and aggregated browsing (default backend is for relational databse - ROLAP) * multidimensional analysis * logical view of analysed data - how analysts look at data, how they think of data, not not how the data are physically implemented in the data stores * hierarchical dimensions (attributes that have hierarchical dependencies, such as category-subcategory or country-region) * localizable metadata and data * SQL query generator for multidimensional aggregation queries * OLAP server - HTTP server based on Flask Blueprint, can be easily integrated into your application.
6 lines
388 B
Text
6 lines
388 B
Text
$NetBSD: distinfo,v 1.1 2017/06/01 12:05:28 adam Exp $
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SHA1 (cubes-1.1.tar.gz) = d28d3a88f59542c1a0d3e0e37b96c37cdb5f2fc2
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RMD160 (cubes-1.1.tar.gz) = a01cf288ba56341abae7aba1e61810a686e6ec0b
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SHA512 (cubes-1.1.tar.gz) = cdb5f4949b4d294b465faa885739ff8f9efd5a56dc031b94393455d133b0a282960450cd4349462213c008da0c9f165a285d4d9e5a18eac9dd211be3dadab4f6
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Size (cubes-1.1.tar.gz) = 128742 bytes
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