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Presentatie van Johan Krebbers, Chief Architect van Shell, over het Enterprise Data Model wat in ontwikkeling is bij Shell (SmartSolutions/SmartApps), en wat een trend is binnen vele grote multinationals in het kader van Big Data & Data Analysis.

"Here are factors and tools to consider when mining Big Data for small business intelligence. AWS, SumAll, and Google Cloud Storage might help you get a good ROI."

"The migrations feature of the Entity Framework includes a Seed method where you can populate the database with the initial static data an application needs."

"The EF 4.1 DbContext API works with Code First, Database First, and Model First and provides a simplified, productive environment for building all types of data-backed applications"

"A look at the core data structures and algorithms used in day-to-day applications."

"Microsoft StreamInsight consists of a set of programming tools, and most of what is written about StreamInsight is written specifically for programmers. But what if you are, for example, a database administrator or data analyst without an extensive programming background? You're wondering if StreamInsight might be a solution for a problem you have, but the existing documentation leaves you scratching your head."

"Windows Presentation Foundation has a completely redesigned system for binding data to the UI, and can use a variety of binding sources including CLI objects and XML. WPF DataBinding is one of the most important aspects to WPF, so below is a collection of resources"

This article takes a closer than normal look at everyone's favourite data structure - the .NET dictionary. There are quite a lot of different dictionaries classes in .NET these days, so I'm going to explore how they work, what their differences are and where to use them.

"I've done a number of talks on Productivity in the past. Lots of folks ask me what my tips are for being productive. I've taken all those tips as well as tips from Kathy Sierra, Stephen Covey, David Allen, The Pomodoro Technique and many more and aggregated them into a system that works well for me. I talk about how to effectively handle large amounts email, sorting your personal data stream, how to conserve your keystrokes, the "one email rule" that you need to be effective"

CQRS, while a relatively simple concept, still brings a lot of assumptions about what CQRS is and should be. So what is CQRS? Simply put, CQRS is two objects where there was once one. We're splitting code infrastructure down to the data layers between commands and queries. But the assumptions around what a CQRS should be lead folks I've seen down paths of unnecessary complexity. Complexity around the architecture, and especially around the UI.

This article will focus on one of the most important functional programming constructs: working with values as opposed to identities. I'll discuss the strong support C++ has always had for working with values, then show how the new C++ 11 standard expands this support with lambdas. Finally, I'll introduce a method of working with immutable data structures that maintains the speed C++ is known for while providing the protection that functional languages have long enjoyed.