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 ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

Rolap tools allow access to an enormous database, whereas Molap tool users have to go through a multi-dimensional database, or a cube, which they loaded from the data warehouse. Vendors marketing ...

Business users can view centralized data and perform related calculations for analysis and reporting with ease. IT can take advantage of OLAP solutions so that data warehouses and other relational ...

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 ...

A multi-dimensional analytical query, or MDA query, is answered as quickly as possible by online analytical processing, or OLAP (/o*l*p/). Business intelligence also includes relational databases, ...

In the fog of the Big Data era, OLAP (On-line Analytical Processing) gets little mention from the press or the industry analysts. The reality is, OLAP is quite vital today for a simple reason: most ...

Data Partitioning is a very useful feature in SQL Server 2005 and beyond. I have discussed this database feature in previous blog entries but it is also available in SQL Server Analysis Services which ...

When we try to extract information from a stack of data, we need tools to help us find what’s relevant and what’s important and to explore different scenarios. A report, whether printed on paper or ...