OLAP cube

Steve Simon

How to effectively extract data from an OLAP cube by relying upon T-SQL

October 19, 2016 by

Introduction

Last month I ran two Business Intelligence pre-conferences in South Africa. A interesting request arose during the course of the preconference in Cape Town. The individual wanted an approach to extracting data from an OLAP cube that would avoid intensive utilization of MDX and more reliance upon T-SQL. His main concern was with filtering the data at run time, via the report front end.

In this “fire side chat” we shall do just that, utilizing the cube that comes with the new Microsoft database “WideWorldImporters” and we shall learn how we can get from this

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Sifiso W. Ndlovu

How to filter multidimensional OLAP cubes in SSRS reports

September 28, 2016 by

Ever since the early days of my career, SQL Server Reporting Services (SSRS) has been one of my preferred data visualization tools simply because end users and developers alike use it for free. Although a majority of my SSRS solutions have been based off a relational dataset that uses Transact SQL (T-SQL), I have also produced several reports that used Multidimensional Expressions (MDX) to connect and retrieve data from SQL Server Analysis Services (SSAS) multidimensional OLAP cube. Recently, I found myself having to refactor some of these SSAS based SSRS reports, particularly converting a single value SSAS-populated parameter into a multi-value parameter. In this article, I explore how you can go about making these changes using SSRS query designer’s design and query modes.

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Evan Barke

SQL Server Business Intelligence features – creating reports based on OLAP cubes

May 19, 2014 by

Introduction

In order to build a SQL Server business intelligence solution one needs to:

  1. Design a de-normalized data warehouse
  2. Build and schedule an Extract, Transform and Load (ETL) package that will feed the data warehouse at regular intervals with new data from the OLTP database.
  3. Setup, personalize and process a cube based on the data warehouse.
  4. Add the processing step to the ETL schedule to ensure the whole chain is automated.
Note: These steps are covered in detail in other articles in the series. If you do not yet have an OLAP cube set up and automated and you need more info as to how to do so; please refer back to the relevant step.
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Evan Barke

SQL Server Business Intelligence Features – Creating a Simple OLAP Cube

May 9, 2014 by

Introduction

Multidimensional cubes and transactional databases are two very different things. From experience I have seen even veteran DBAs avoid the subject of cubes completely because it is too much of an unknown area for them. Often cube work is passed on to developers because of their comfort with using Visual Studio. This is a great pity because it is, in reality, not very difficult at all to create an OLAP cube. It is safe to say that most of the work needs to be done in a traditional SQL Server database engine / SSIS environment from creating the data warehouse model to keeping it fed with ETL packages. This article assumes you already have a data warehouse and uses AdventureWorksDW2012 as an example. Following these steps should put you on the road to a decent SQL Server business intelligence solution based on a read-optimized OLAP cube. Read more »