Sessions tagged as Data

Entity Framework FTQs
Tags: Data
Presenter: Julie Lerman

Time: 1:30 PM – 2:40 PM, Saturday, March 9, 2013
Location: One Mem Drive, Horace Mann

Entity Framework can be fraught with “gotchas” if you’re not well-versed in its behavior. I am asked so many of the same questions from developers on twitter (and email and however else they can find me). The most common questions are from devs who’ve been bit by Foreign Keys in a variety of ways or confounded by Code First mappings not behaving as they expect. Just like in life, relationships in EF are complicated. Whether you’re trying to retrieve graphs efficiently, delete related objects or define relationships in code, Entity Framework relationships — especially in disconnected applications — continues to baffle developers. In this session you’ll learn about some of these unexpected behaviors, how to prepare for them or how to recognize and solve them when they bite you too! We’ll also look at some debugging strategies to help you get to the bottom of the problems when they do occur.

BackboneJS in Action
Presenter: Usha Guduri

Time: 9:00 AM – 10:10 AM, Saturday, March 9, 2013
Location: One Mem Drive, Adams+Attucks

Javascript has been picking up steam in the last couple years as a major development language and applications started building humongous code bases with client side scripts. If you find it difficult to even navigate the spaghetti code, giving some structure to it using a MVC framework is the first step. BackboneJS is a well established framework (at this point) that speeds up the process and provides a lot more power on top of MVC code organization. Join the cool kids on the block by not just knowing about BackboneJS but understanding how to use it in the right way to leverage its full magic!

Machine Learning with .NET
Presenter: Frank Wu

Time: 9:00 AM – 10:10 AM, Saturday, March 9, 2013
Location: One Mem Drive, Thomas Paul

Machine Learning is playing increasingly important roles in Microsoft stack – from Bing search engine to Microsoft Office. You probably will be asked to embed Machine Learning based features in your application development. This session introduces how to use .NET SDKs to implement some commonly used Machine Learning algorithms.