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Insufficient data from Andrew Fryer
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Insufficient data from Andrew Fryer
Azure SQL Data Warehouse Don’t do this..
I am always one of the first to try new stuff when it comes out and so it was great for Microsoft to give me job doing this some 99 months ago. One of the latest things I signed up for was the Azure SQL Data Warehouse (ADW), and then setup a demo ADW so I could test it against Power BI. The good news...
26 Oct 2015
Data, no use at all without a catalog
About a decade a go I went on a Microsoft BI boot camp which was also attended by Microsoft staff specifically Matthew Stephen and Rob Gray who inspired me to work towards joining Microsoft myself. Two years later I got in and haven’t looked back and I still track Matt on LinkedIn, so I was very interested...
6 Oct 2015
Cortana - Remembering the Future
If you have ever watched the Star Trek First Contact film the crew allude to the fact that the star ship Enterprise is named after the first space shuttle, when actually it’s the other way around the first space shuttle was so named because over 2 million star trek fans lobbied NASA to call it Enterprise...
2 Sep 2015
Azure Data Services for (near) Real Time Scenarios
Light takes about 8 and half minutes to get from the surface sun to the earth and it can actually take a photon 20,000 years to get form the core of the sun to the surface. On earth that means that if the sun stops shining we wont know about it until eight and a half minutes after and begs the question...
16 Jul 2015
Azure Data Services–what are they?
This might be a recurring theme but worth mentioning again - Azure continues to change and expand at an alarming rate. On the one hand this is simply scale, for example we now have access to bigger compute resources like the G class virtual machines, ever cheaper storage, and higher and higher limits...
9 Apr 2015
Machine Learning for the Business Intelligence developer
Amy (the other half of the data duo in our team) and I have been gate crashing the Data Culture series and other events recently to see who’s interested in Azure Machine Learning (MAML) . It turns out that data scientists are pretty comfortable using their own tools and scripts be that in R and Python...
26 Feb 2015
Azure Machine Learning – General Availability
Today Microsoft Azure Machine Learning (MAML)goes from preview to general availability and it’s also undergone quite a few changes on the way. Before I get into what’s new (and there is quite a lot) I do occasionally get feedback that Azure services are evolving too quickly for everyone to keep up. I...
16 Feb 2015
How to train your MAML–Redux
Since I wrote this series we have taken on two computer science graduates in the evangelism team in the UK, Amy Nicholson and Bianca Furtuna. Both studied machine learning as part of their courses so I introduced them to this series on Azure ML to get them up to speed. They have taken this series apart...
12 Dec 2014
How to train your maml – Publishing your work
Before I get into my next post you may have noticed that ML has changed compared with a few weeks ago -the main page previews experiments differently, and the visualization of data has also changed.. One other problem hit me and that was some of the parts of my demo experiment didn’t work or ran really...
10 Nov 2014
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...
6 Oct 2014
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 still a bit more...
1 Oct 2014
How to train your MAML – Looking at the data in SQL Azure
In my last post we saw how to clean, transform and join datasets. I also mentioned I had trouble doing the join at all and even now it’s not quite right so how can we look at the data and find out what’s going on. The visualisation option only shows a few rows of the 2 million in the dataset and there...
25 Sep 2014
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...
19 Sep 2014
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 might be useful...
26 Aug 2014
My title for this post is a pun on the Adventure Works databases, and samples that have been in SQL Server since I can remember. There were also some data mining examples ( as referenced in this old post ) but this has not really moved on since 2011 when I last wrote about it so you might be forgiven...
1 Aug 2014
Cast and Convert
In SQL server the Cast and Convert functions change one type of data to another. A pod cast is the art of converting knowledge into sounds so that's the tenuous link for this post. Pod casting is not something I have ever tried, but the security expert on our team, Steve Lamb sees himself as the next...
11 Sep 2007
Integration, Integration, Integration
Microsoft is all about choice, so instead of having one way of shifting data between two different platforms we have three. I get asked about two of these a lot but I also wanted to discuss the latest tool in this space to make sense of all them and understand when to use what: Integration Services...
14 Jul 2010
Are we spending too much time with Excel?
Despite my love of SQL Server and my respect for Oracle, and MySQL the worlds number one database is excel. I know that many purists and DBA’s will shudder at me grouping a spreadsheet with a database, but look at this form the perspective of number of hours of users using excel and the volume...
15 May 2008
Lean and Mean
When you build a cube in analysis services it is very easy to expose every attribute in every dimension to the user. You can also add-in every measure and if you don't feel that's enough then you can create your own calculated members to add to the users' fun. Once you have given the users every thing...
18 Sep 2007
Grain - The devil is in the detail
Technorati Tags: BI , Business Intelligence , OLAP , SQL server 2008 Business Intelligence is just like digital photography, the more detail you want the more space you are going to use and in both cases we talk about grain and granularity. If you have ever worked with RAW files on a 'Prosumer' (an IT...
23 Aug 2007
One Version of the Truth
One of the most over used phrases in Business Intelligence is "one version of the truth" so I thought it would be good to discuss why it's important and what IT professionals can do to achieve it. In an imaginary organisation like adventure works there would be several line of business systems such as...
13 Sep 2007
Reporting Services - Nothing to see please move along
Sometimes when you run a report it’s not going to return any rows, perhaps because the user selected a filter for which there is no data, and that needs to be handled properly. Fortunately there’s a simple way to control the messaging when this occurs to ensure your users know what’s happened and...
16 Apr 2009
SQL Server Advent Calendar 2 – Time
Day 2 of my virtual advent calendar, about stuff I like in SQL Server 2008.. Following on from my previous post, in some data warehouses there is a separate dimension for time of day, so that demand through a day can be modelled. Storing time in SQL server 2005 was a bit of a cludge typically involving...
2 Dec 2008
the BI Sematic Model in SQL Server Denali ctp3
Some sort of semantic model is needed in every BI solution but what is it and why do I need one? It’s a view of the data store(s) you want to work on for business intelligence which adds additional information that can be stored in the individual tables themselves. For example how are the...
25 Jul 2011
SQL Bits 11 - Notes & Queries
If you didn’t manage to fight your fight your way through the Everton & Liverpool fans to SQL Bits I thought you might like to see some of the random questions I got asked.. How do I manage SQL Azure? I think the key thing about developing for the cloud is to ensure that your application can handle...
3 Oct 2011
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