5 interesting points from MDIS 2017

After a whirlwind 4 days in Seattle I finally have some time to think back over the Microsoft Data Insights Summit and digest what were probably some of the more interesting points to come out of the Summit.  Most of these came from the keynote so if you would like more detail on any of Read more about 5 interesting points from MDIS 2017[…]

Power BI for Developers – Session Slides, Materials, and Recording – Microsoft Data Insight Summit 2017

Power BI REST API has changed a lot recently, especially for embedding Power BI content. Through my session in Microsoft Data Insight Summit 2017, It was my pleasure to speak about changes and have a session full of demos working with the new REST API. Areas that I’ve focused for this session was embedding Power Read more about Power BI for Developers – Session Slides, Materials, and Recording – Microsoft Data Insight Summit 2017[…]

Session Materials & Recording: Take Power BI Visualization to the Next Level – Data Insight Summit 2017

Thanks everyone to attend my session in Microsoft Data Insight Summit 2017 about Data Visualization. It was a pleasure to see you all. Here I put the session materials to download and links as reference to study more. Please feel free to ask your questions here. My session was over booked with 650 registrations, and Read more about Session Materials & Recording: Take Power BI Visualization to the Next Level – Data Insight Summit 2017[…]

2017 Data Insights Summit – Key Note (Live)

Not just one but TWO live blogs from Radacad running so you won’t miss anything! Reza is also blogging here https://radacad.com/microsoft-data-insight-summit-2017-keynote-live-blog 5 mins to go. Sitting between Chris and Alberto. We are delayed due to the massive influx of attendees queuing to get in. James Phillips speaking now Summit sold out 5 weeks early 2500 Read more about 2017 Data Insights Summit – Key Note (Live)[…]

Microsoft Data Insight Summit 2017 – Keynote – Live Blog

Hello from Keynote of Microsoft Data Insight Summit 2017. I’m sitting at the blogger table (there is no table actually, just chairs 😉 ) and will be blogging live from here new announcements and live events from the keynote. Watch this blog and refresh your page 🙂 7:51am: Sitting in press chair. people are filling Read more about Microsoft Data Insight Summit 2017 – Keynote – Live Blog[…]

Azure ML Part 7: A Machine Learning Prediction scenario (4)

In the previous posts from Part 1 to 6, I have explained how to do machine learning process. The data cleaning such as SQL transformation, select specific columns, remove missing values,  Edit meta data, and normalize data.  Also, I have explained how to find relevant attributes  using Feature Selection Feature to identify which feature are more Read more about Azure ML Part 7: A Machine Learning Prediction scenario (4)[…]

Our Sessions at Microsoft Data Insight Summit 2017; Seattle

Microsoft Data Insight Summit in Seattle is next week, and it is already sold out with 2000+ registrations. This is twice last year considering number of registrations. Number of sessions and speakers are also increased this year. This year 100+ sessions will be presented by Microsoft and community speakers. RADACAD team are presenting five (5) Read more about Our Sessions at Microsoft Data Insight Summit 2017; Seattle[…]

Azure ML Part 6: A Machine Learning Prediction scenario (3)

In previous posts (Part 4 and Part 5), I have explained some of the main components of Azure ML via a prediction scenario. In post one the process of data cleaning (using SQL Transformation, Cleaning Missing Value, Select specific Columns, and Edit Meta Data)  has been explained. and in the second Post, I have explained how to apply Read more about Azure ML Part 6: A Machine Learning Prediction scenario (3)[…]

Optimising Power BI data models

For this blog I thought I would share a handy trick for optimising Power BI using a data modelling solution that is often forgotten or overlooked.  It involves focusing on certain columns based on the degree of uniqueness they contain and converting or removing all together from a data model.  I will explain how and why this Read more about Optimising Power BI data models[…]