Category: SQL Server Analysis Services Tabular

Power BI (Visual Contest, On the Go, Hyperlinks, Drill Up, Drill Down, tyGraph Content Pack) – SQL Server 2016 – CTP 2.3 (SSAS Tabular with a dose of speed, SQL Server Data Tools (SSDT), SQL Server Reporting Services (SSRS)) – Power BI (Personal Gateway for Power BI Update)

Right once again there is a lot to get into this week, and as with every week there are a whole host of Power BI updates. Power BI – Visual Contest I have to say that this is both a smart and fantastic move by Microsoft. This allows them to get or gain a whole host of new chart types…

BI-NSIGHT – Power BI (Collaboration, Mobile, Webtrends, Natural Language, Resizing Reports, Increased Limits, Dynamics AX Support) – SQL Server 2016 CTP 2.3 – APS Update 4 – Office 2016 (Updates, Publishing Directly to Power BI)

There is a whole stack of updates with regards to Power BI this week, as well as some other updates within the BI space. I have to quickly point out that I was very fortunate to finally meet Jen Underwood. t (Twitter) It is really great to have the opportunity to have meet up with people that you have followed…

BI-NSIGHT – SQL Server 2016 – Power BI Updates – Microsoft Azure Stack

Well I have to admit that it seems that the Microsoft machine has been working flat out to get out new products and updates. If my memory serves me, this is the third week in a row that Microsoft has released new products and updates. I am really enjoying it! But hopefully this will slow down, so that we can…

Relocating to Australia – BI Job opportunities in Queensland

I thought I would let you guys know that I am about to relocate to Australia from South Africa. I have had an amazing time in South Africa, and learnt a whole lot whilst working at my past employer. So this is a plug at anyone who has any lead or potential BI work in Queensland, Australia. I would really…

Book Review – Expert Cube Development with SSAS Multidimensional Models

http://www.packtpub.com/expert-cube-development-with-ssas-multidimensional-models/book This book is a must read if you are looking for some useful and practical information in your SSAS Multidimensional models. But it must be noted that this is not an introduction into SSAS Multidimensional modelling, rather practical real world examples. I found that the book is a wealth of information that can be applied to your working environment….

Win Free Ecopy of new book on SSAS

Readers would be pleased to know that I have teamed up with Packt Publishing to organize a Giveaway of the Expert Cube Development with SSAS Multidimensional Models   And two lucky winners stand a chance to win ecopy of their new book. Keep reading to find out how you can be one of the Lucky Winners. Overview:                                  …

DAX – Comparing a specific Product Average against the average of ALL products

I had a situation when one of my fellow workers wanted to create a report where they wanted to compare one product’s sales and how it was doing when compared to the average of ALL the product sales.   In our example below we want to extract from the AdventureWorksDW2012 Analysis Services Database   You can get a copy of…

Power View – Using MDX, SSAS Tabular and Power View to display potential issues based on past trends in data

What I am going to explain below is using the above MDX, SSAS Tabular and Power View to display potential issues based on past trends within our data.   For our example we are going to using the example of SCOM data. Within our example we are looking for systems where the available memory has dropped more than 50% of…

SCOM (Systems Center Operations Manager) Cube and Data warehouse

What I have done is I have found that it is very handy having all our SCOM data in a data warehouse and then having it in a SSAS (SQL Server Analysis Services). Within the zip file which can be located here below it has all the details for the following: ·         SCOM Data Warehouse and OLAP Documentation.docx o   This…

Data warehousing – Bringing down data twice but avoiding deleting on the data warehouse Fact Table

This is better explained with our example below.   Example: ·         We had a situation where we were getting data down, but due to the nature of the data we were getting is we were missing data. ·         Also another note was the fact that we did not store the granular data, but aggregated the data, so due to this…