I started using APL for data analysis around 1972. The powerful language, based on a 1962 book by Ken Iverson, A Programming Language, was and is notable for three things: its use of Greek letters and ...

Cube is one of the most frequently used notions in On-Line Analytical Processing (OLAP) systems (infocube, hypercube, one-dimensional cube, two-dimensional cube, etc., up to N-dimensional cube). In ...

The new mechanical computer uses 64 physical cubes to represent binary bits and is inspired by kirigami — the Japanese art of paper-folding and cutting. When you purchase through links on our site, we ...

ABSTRACT: The data warehouse is the most widely used database structure in many decision support systems around the world. This is the reason why a lot of research has been conducted in the literature ...

The idea is how can we prepare data to be used by Business Intelligence applications like Tableu or even Jupyternotebook! 👍 In order to help the business see an overview of the data in a diagram of ...

What good is big data if you don’t have the proper tools to make sense of it? A startup, Kyvos Insights, can transform terabytes of information stored on Hadoop clusters into easy-to-parse data cubes, ...

What is inside the Cubes Python OLAP Framework? Here is a brief overview of the core modules, their purpose and functionality. The lightweight framework Cubes is ...

In this paper, the system bgMath/OLAP for warehousing and online analytical processing bibliographic data is proposed. The implemented system can be useful for the users maintaining their electronic ...

There are some basic rules of thumb that can be applied to assist in this determination. But first it helps to look at the greater picture of OLAP compared to ROLAP. The ‘traditional’ OLAP engine ...

Excerpt from Microsoft SQL Server 2008 Analysis Services Unleashed by Irina Gorbach, Alexander Berger, Edward Melomed Chapter 1: Introduction to OLAP and Its Role in Business Intelligence Excerpt from ...