Data warehouse and BI project to analyze sales data for a fictional meat distributor. Built with Microsoft SQL Server and R.

The popularity of Microsoft Excel has never waned. Today, a whopping 1.1 billion users globally rely on it for multidimensional analysis in areas such as "scenario planning, supply chain optimization, ...

Abstract: This paper proposes a new approach for rules discovering relationships between OLAP cube cells. Such relationships are based on frequent itemsets computation, which was always used in the ...

Social media is full of so-called hacks to make your life easier. When it comes to houseplants, there are plenty of experts claiming the best ways to care for them. However, just because someone has ...

TinyOlap is a light-weight, in-process, in-memory, multi-dimensional, model-first OLAP engine for planning, budgeting, reporting, analysis and many other numerical purposes, written in plain Python.

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

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 ...