Microsoft Cloud Day London 2012

 

Getting Started with ASP.NET MVC 5 with Rick Anderson

 

Getting Started

Start by installing and running Visual Studio Express 2013 Preview for Web or Visual Studio 2013 Preview.

Visual Studio is an IDE, or integrated development environment. Just like you use Microsoft Word to write documents, you'll use an IDE to create applications. In Visual Studio there's a toolbar along the top showing various options available to you. There's also a menu that provides another way to perform tasks in the IDE. (For example, instead of selecting New Project from the Start page, you can use the menu and select File > New Project.)

Creating Your First Application

You can create applications using either Visual Basic or Visual C# as the programming language. Click New Project, then select Visual C# on the left, then Web and then select ASP.NET  Web Application. Name your project "MvcMovie" and then click OK.

In the New ASP.NET Project dialog, click MVC and then click Create Project.

Click OK. Visual Studio used a default template for the ASP.NET MVC project you just created, so you have a working application right now without doing anything! This is a simple "Hello World!" project, and it's a good place to start your application.

Click F5 to start debugging. F5 causes Visual Studio to start IIS Express and run your web application. Visual Studio then launches a browser and opens the application's home page. Notice that the address bar of the browser says localhost and not something like example.com. That's because localhost always points to your own local computer, which in this case is running the application you just built. When Visual Studio runs a web project, a random port is used for the web server. In the image below, the port number is 1234. When you run the application, you'll see a different port number.

Right out of the box this default template gives you  Home, Contact and About pages. The image above doesn't show the Home, About and Contact links. Depending on the size of your browser window, you might need to click the navigation icon to see these links.

The application also provides support to register and log in. The next step is to change how this application works and learn a little bit about ASP.NET MVC. Close the ASP.NET MVC application and let's change some code.

How to: Recruit using Facebook Open Graph Search | Social Talent

How to: Recruit using Facebook Open Graph Search | Social Talent

Training and Development at eSynergy

The IBM & Wimbledon Story 2013

Andy Murray - Wimbledon Champion 2013

Andy Murray is the Wimbledon Champion after defeating Novak Djokovic in straight sets 6-4, 7-5, 6-4.

Its taken Britain 77-years  for this …….

Well done @andy_murray

Is Big Data Analytics for Real?

Very Interesting

The term ‘big data‘ has generated a lot of attention in the past eighteen months or so, to the point that it has been overused and oversold at times. Clearly a candidate for the peak of the ‘hype cycle’. Many people ask me whether their data is ‘big enough’ to qualify as ‘big data’. Are petabytes a must or will terabytes or even gigabytes qualify?

I tell them that this is the wrong question to ask. Two different examples serve to illustrate: First, consider basic census data about all 7 billion people; is this ‘big’? Well, with minimal effort it will fit in memory on most high-end servers. So is it big? No? Well, try loading it into a traditional database – I bet it takes at more than a day to merely get in. Oh, so it is big after all …. Well, not so fast. A C program can process all this data and calculate say, the median age for each gender that runs in minutes. So its not big ..?

Second example: Think of a few hundred individuals along with a small sample of their genetic information, which might be a few hundred thousand features per person. Big? Not in size – a few dozen megabytes at best. But try to slice and dice this data using a traditional OLAP tool. Many lifetimes are not enough to view all slices.
Lessons? First, traditional technology makes small amounts of data appear big for no reason. So new technology is needed. Second, even small data sets that are ‘wide’ appear big when it comes to analysis. So statistics, machine learning and data mining must be used rather than traditional slice and dice.

Big data is about counting, not queries. Also having ‘wide’ data, rather than lots of data, make for a ‘big data’ problem.

Info From :
Dr. Gautam Shroff
VP & Chief Scientist @ TCS Innovation Labs