Analysis Services (SSAS)

Thomas LeBlanc

Time Intelligence in Analysis Services (SSAS) Tabular Models

March 20, 2018 by

In the analytical world, time is an important slicer. The ability to view data over time helps analyze measures in actionable steps. An Analysis Service (SSAS) database can help accomplish this important step. Business users are going to want the ability to see measures a like year to date as well as the period over period comparisons. SSAS enables Time Intelligence with 2 features: the date table and DAX functions.

Read more »
Divya Agrawal

Automate documentation of SQL Server Analysis Server Tabular Model

March 13, 2018 by

There has been an ever-growing discomfort on documenting things especially when it’s very dynamic in nature and I was at one time undergoing the same. We have been developing SQL Server Analysis Tabular Model’s, which were quite a many in numbers and documenting 50 or 60 models manually is a big effort. In addition, development always demands change or enhancements that incurs changes on the documentation that is a continuous process. Adding the changes on the documentation is a time consuming process and sometimes loses track or remains inconsistent with the code built which is a critical issue when the system is in production for years.

I decided to automate the documentation of the SSAS model, to ease the manual effort here as well as save time. In addition, help the end users to see and review the latest change on the models quickly without even bothering the development team.

Read more »
Thomas LeBlanc

How to create Intermediate Measures in Analysis Services (SSAS)

February 19, 2018 by

The whole premise of Analysis Services (SSAS) is to place business logic into a central repository (a database). This central repository should be easy to understand from the average reporting user. Simplicity for SSAS databases starts with the Dimension and Fact tables in a data mart or data warehouse. These tables need to have as little additional computed columns as necessary. With this design, adding additional Measures to the SSAS database, both Multidimensional Cubes, and Tabular Models, can help with performance monitoring of the company’s indicators.

Read more »
Daniel Calbimonte

How to create Excel reports based on SSAS information

December 18, 2017 by

Introduction

In SSAS, when I offer Power BI, Reporting Services, PowerPivot or SharePoint to connect to SSAS, the business analysts look scared. On the other hand, if I talk about MS Excel, everybody seems so happy and comfortable with it.

Excel is still the most popular spreadsheet in the world even when there are a lot of free spreadsheets like OpenOffice and LibreOffice to download, in the BI world, Excel is still the most popular.

Read more »
Daniel Calbimonte

How to build a cube from scratch using SQL Server Analysis Services (SSAS)

December 11, 2017 by

Introduction

I am a DBA consultant and several times, in the past, I have been asked for a good tool to generate fast reports to get information about the company like total sales, sales per year, month, week etc

SSAS is a Business Intelligence (BI) technology that Microsoft bought from Panorama Software in 1996. After the acquisition, the technology was upgraded and evolved and now it is part of the tools that come with SQL Server. This tool is an extremely powerful tool to create analytical reports fast. It works with cubes that are designed to generate reports with optimal performance using aggregated information stored in the cube.

Read more »
Thomas LeBlanc

Using Many-to-Many Relationships in SQL Server Analysis Services (SSAS) 2016

September 7, 2017 by

The Multidimensional Cube option of Analysis Services has handled many-to-many relationships with ease for many versions before 2016. The Tabular had a work around using DAX formulas until the release of SQL Server 2016. There are still some limitations to many-to many in Tabular but of course, there are some “tricks” to overcome the limitations. But, the many-to-many relationship will be in businesses data for many years to come. A solution has to be provided when it comes to Analysis Service databases.

Read more »
Thomas LeBlanc

Analysis Services (SSAS) Tabular Models – Attributes and Measures

August 14, 2017 by

In this article, a demonstration of the tabular model will try to related multidimensional cube design to the path forward Microsoft is giving used s with new versions of Analysis Services. Even though the descriptive names are changing, the tabular model still accomplishes the centralized business rules multidimensional cubes gave the business intelligence world. This is enforced by speed obtained from in-memory technology and simplification of the interface for the masses.

Read more »
Thomas LeBlanc

Analysis Services (SSAS) Cubes – Dimension Attributes and Hierarchies

July 5, 2017 by

In Data Warehouse language, slicing and dicing is done with Dimension Attributes. Sometime a developer feels the need to provide everything to end users, whereas seasoned Business Intelligence Architects understand to provide only the attributes from the requirements. It is a hard path to follow and the seasoned architect’s experience might be the better option.

Read more »
Thomas LeBlanc

Initial Attributes and Measures in SSAS Multidimensional Cubes

June 2, 2017 by

Connecting to tables in SQL Server Analysis Service (SSAS) databases is easy. Maybe too easy. The learning curve for developing in a Multidimensional Cube is steep, although a Tabular Model has lessened this curve. The power of encapsulating the business logic of aggregations and analytics into an Analysis Service database is too great not to embrace Analysis Services in an enterprise environment.

Read more »
Koen Verbeeck

Analysis Services (SSAS) Multidimensional Design Tips – Creating Dimensions

June 1, 2017 by

In the previous article, Analysis Services (SSAS) Multidimensional Design Tips – Data Source View and Cubes, we discussed best practices for SSAS Multidimensional cubes and data source views. In this article, we continue the series with design tips for creating dimensions as the subject. As with the previous article, most tips are suited for SSAS 2008 (most likely 2005 as well) to 2016 and later versions. Analysis Services Tabular is not covered in this article.

Read more »
Koen Verbeeck

Analysis Services (SSAS) Multidimensional Design Tips – Data Source View and Cubes

April 28, 2017 by

In this article, we’ll discuss some tips and best practices regarding the design of OLAP cubes in Analysis Services Multidimensional (SSAS). Most tips – if not all – are applicable for SSAS 2008 to 2016 (and later most likely). Since Analysis Services Tabular – the in-memory columnstore OLAP database from Microsoft – is a completely different design experience, it will not be included in this article.

Read more »
Thomas LeBlanc

Connecting to Data Source(s) with SQL Server Analysis Services

April 18, 2017 by

For someone new to SQL Server Analysis Services, a decision must be made on whether to use a Multidimensional Cube or Tabular Model. Both types can be installed on the same server, but they must be different instances. That could mean additional license costs. But, with the developer’s edition, both can be installed and reviewed before a production decision is made. Data Source connections are the first step to review with both versions.

Read more »
Thomas LeBlanc

SQL Server Data Warehouse design best practice for Analysis Services (SSAS)

April 4, 2017 by

Before jumping into creating a cube or tabular model in Analysis Service, the database used as source data should be well structured using best practices for data modeling. Some might say use Dimensional Modeling or Inmon’s data warehouse concepts while others say go with the future, Data Vault. No matter what conceptual path is taken, the tables can be well structured with the proper data types, sizes and constraints.

Read more »
Koen Verbeeck

How to optimize the dimension security performance using partitioning in SSAS Multidimensional

March 27, 2017 by

Introduction

In the articles How to partition an SSAS Cube in Analysis Services Multidimensional and Benefits of Partitioning an SSAS Multidimensional Cube, the concept of measure group partitioning is introduced and the advantages are clearly illustrated. One of the biggest advantages of partitioning is partition elimination, where only the partitions necessary to satisfy the query are read instead of all the data.

Read more »
Craig Porteous
C:\Dropbox\Blog Articles\Tabular_02.PNG

How to automate SSAS tabular model processing in SQL Server 2016

March 6, 2017 by

There are many ways to process your SSAS Tabular Model. This can be achieved in SSIS using the Analysis Services Execute DDL Task or manually, through Management studio GUI but to have a little fun & make the task more flexible I’m going to script this with ASSL/TMSL & build a notification round it. We can then schedule this as a step in a SQL agent job, call it from SSIS or PowerShell.

Read more »
Daniel Tikvicki

How to use SQL Server Analysis Services (SSAS) query results in Excel with Power Pivot

December 2, 2016 by

Prerequisites for using query results from any Analysis Services model database in Excel through Power Pivot add-in are SQL Server 2014 or higher with installed Analysis Services Tabular instance (Multidimensional is installed by default), deployed Multidimensional or Tabular model database (for data source) and Power Pivot add-in for Excel 2010 or higher (Power Pivot is native add-in in Excel 2016).

In this article, the custom SSAS Tabular model database will be used (“AW Tabular”) as an external data source.

Read more »
Page 1 of 212