High-Performance OLAP cubes
High-performance cubes are a modern way to represent large sets of aggregated information.
OLAP cubes can be thought of as extensions to the two-dimensional array of a spreadsheet. For example a company might wish to analyse some financial data by product, by time-period, by city, by type of revenue and cost, and by comparing actual data with a budget. These additional methods of analysing the data are known as dimensions.
Cybertec High-Performance Cubes support all basic OLAP operations:
* Drill-Down (/ Roll-Up)
Cybertec High-Performances Cubes make it possible to access cubes from many machines. In addition to that partial cubes can be merged into bigger cubes.
High-Performance use cases:
* real time analytics
* advanced decision making
* extreme caching
Cybertec high-performance in memory cubes can be integrated with real-time neuronal network decision making.
In a cube every dimension represents one 'variable' and can be analyzed separately.
In this example a cube would contain data such as: turnover, sales, products in stock, time, point of sale, vendor and products.
The cube could be used to answer countless questions:
How much coffee did we sell last week in Miami?
How much coffee is in stock?
Which shop sold most coffee?
Which shops increased it's sales within the past 3 years?
* C / C++
* efeudoc Reporting Engine
NOTE: More interfaces can be provided on demand.
Cybertec High-Performance Cubes can be used on the following platforms:
* Linux (32 / 64 bit)
* Solaris 8 / 9 / 10 (Sparc and Opteron)
* Mac OS X
Support for further operating systems can be provided on demand.
The source code of all our modules will be provided to our customers as Open Source.
You will buy a complete Open Source solution which makes sure that your solution work in a system independent way. Long lifetime guaranteed.
Cybertec Geschwinde & Schönig GmbH
phone: +43 / 1 / 205 10 35 / 340
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