A bird’s eye view of the experience on offer at Microsoft Partner Summit

With only 14 working days until the debut of Microsoft Partner Summit, it’s a great time to take a look at a bird’s eye view of the experience on offer. This year’s new Microsoft Partner Summit experience can be summarised across three key areas: Killer keynotes with an impressive speaker line-up Over 30 practical sessions designed to inspire…


Introducing the Mobile Center Slack App

I’m Amanda, and I’m passionate about optimization, making processes more efficient, and building apps that improve the world. I’m always looking for ways to save time, whether it’s in personal projects or in my work as a Mobile Center Program Manager, where I spend my days building technology that helps developers deliver better apps faster….


Filestream and Full-Text – Full Solution for Document Indexing in SQL Server

Recently someone was asking if there is a simple SQL Server solution where you would generate text documents and simply pass them to SQL Server to catalog without writing an application to do this. Also, would like to be able to index and search the context of these documents. The solution in SQL Server would…


The Taste of Banzo’s Data

A man went to a data master and said, “If I work very hard, how soon can I master Data Science?” The data master looked him up and down and said, “Five years, studying math and computing.” The man said, “No, listen, I mean if I really work at it, how long—” The data master…


Occam’s Razor and the Data Science Project

The Microsoft Business Analytics and AI components from Microsoft is not a single platform, but actually a group of related products and features. Why so many? Couldn’t someone just use Microsoft R Server, or Azure ML, or Hadoop to create a solution? Isn’t the simplest solution always the best? Well, yes, but only inasmuch as it is as simple as it should be….


But *Why* Do You Trust Your Data?

At the beginning of every data project is the data. While we spend a great deal of time figuring out how to move it, store it, compute it and evaluate it, the most important step is often given short shrift – sourcing the data properly. And that involves two things: Finding authoritative data and knowing…


Data Science and the Lytro Camera

Since the first practical camera was invented in the 1800’s, it’s been used as a scientific tool. In essence, it’s a database – albeit one that stores shades of light rather than 0’s and 1’s, and didn’t use a hard drive (at least at first). In 2012, a new type of camera was introduced, the Lytro….


Data Visualization Basics for Data Scientists

“A picture is worth a thousand words”, the old saying goes, and in some cases a picture is worth even more than that. The human eye is composed of some 30 or more discrete components, and along with the optical nerves and the brain functions that process sight, can take in a contrast ratio of…


Databas(ics)

The beginnings of data science is data. Data are things that you know about, well, other things, so it makes sense to ensure you have a firm grasp on handling that data. Note: I know this seems really is basic, but stick with me – it gets deep quick, and it’s essential to understand this…


R Misteaks -Episode I

As you’re learning R (you *have* read the post about that, right?) you’ll inevitably make some mistakes. That’s normal when learning any language, and it’s especially common when you already know another programming language. I’m creating this post because this is the first thing you’ll run into – let’s get some good habits going right…