What kind of data person are you?

I have been working with data in one form or another since 1991, but I wouldn’t describe myself as a DBA, data scientist or a developer so what am I, and am I alone? I spent ten of those years doing business intelligence and most of that was working with databases, designing systems data marts,…

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Azure ML - a Mindshift for Business Intelligence professionals

This article was commissioned by Jen Stirrup a SQL Server fan and Microsoft MVP with a passion for Business Intelligence and Data Virtualisation. On the 12th of November, Jen will be speaking on the topic of ‘Azure ML – a Mindshift for Business Intelligence professionals’ at Future Decoded which is a free event which will…


Future Decoded – with Data Science

If you have been following my posts on Microsoft’s approach to data science with things like Machine Learning you’ll realise that it’s capable of making predictions. However to be honest it’s not going to tell you what devices and career you’ll have in five years time. To do that you need expert humans not expert…

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How to train your MAML

In this fourth post in my Azure Machine Learning series we are actually going to do the training itself.  I have tidied up my experiment from last time to get rid of the modules to export data to SQL Azure as that has now served it’s purpose .. Before we get stuck into training there’s…

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How to Train your MAML– Refining the data

In my last post we looked at how to load data into Microsoft Azure Machine Learning using the browser based ML Studio.  We also started to look at the data around predicting delayed flights and identified some problems with it and this post is all about getting the data into the right shape to ensure…

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How to train your MAML – Importing data

In my last post I split the process of using Microsoft Azure Machine Learning (MAML) down to four steps: Import the data Refine the data Build a model Put the model into production. Now I want to go deeper into each of these steps so that you can start to explore and evaluate how this…

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Guest Post: Analysing Twitter Data with Hadoop and Power View

By Jen Stirrup In the first part of this blog series, we looked at how social media data is a big driver for Big Data technologies such as HDInsight. However, once it is in HDInsight, how is it possible for business users to access the data using familiar tools such as Excel? Large datasets can…

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Guest Post: Top Tips from QA - Creating business diagrams from within SQL Server without using Visio services or third party tools

Mark ‘Fitz’ Fitzgerald is the principle technologist for business intelligence, covering SQL, PerformancePoint and ProClarity at QA. He is a twenty-year veteran of the IT industry, with experience that ranges from mainframes, help desk and MIS systems. Mark has experience developing business applications in a range of products which enhance and distribute accurate, timely information…

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Business Intelligence for the Private Cloud part 1

If you have looked at any of the new components of System Center 2012 you may have noticed that everyone seems to have a bunch of reports, some of them have data marts or data warehouses and some of them have analytics in the form of analysis services cubes.  Apart from the confusion over when…

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