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| The Latest from Maurice de Bejeir | MORE | | Understanding Map - Reduce Suppose we want to analyze a lot of sales data and compute the sales amount per article. For each group of orders we could map the sales into a collection of article and sales amount pair where each article could be repeated multiple times. After this is done the Reduce step groups the data so we have a single entry for each article with the total sales amount for that partition. Quite a few people seem to be intimidated by the concept of Map-Reduce. Basic principle The basic Map-Reduce consists of two steps. Simple right? Again pretty simple right? simple example. The Problem Solver - Monday, December 3, 2012 Understanding Map - Reduce Suppose we want to analyze a lot of sales data and compute the sales amount per article. For each group of orders we could map the sales into a collection of article and sales amount pair where each article could be repeated multiple times. After this is done the Reduce step groups the data so we have a single entry for each article with the total sales amount for that partition. Quite a few people seem to be intimidated by the concept of Map-Reduce. Basic principle The basic Map-Reduce consists of two steps. Simple right? Again pretty simple right? simple example. The Problem Solver - Monday, December 3, 2012 | | The Best from Maurice de Bejeir | MORE | | Understanding Map - Reduce Suppose we want to analyze a lot of sales data and compute the sales amount per article. For each group of orders we could map the sales into a collection of article and sales amount pair where each article could be repeated multiple times. After this is done the Reduce step groups the data so we have a single entry for each article with the total sales amount for that partition. Quite a few people seem to be intimidated by the concept of Map-Reduce. Basic principle The basic Map-Reduce consists of two steps. Simple right? Again pretty simple right? simple example. The Problem Solver - Monday, December 3, 2012 Understanding Map - Reduce Suppose we want to analyze a lot of sales data and compute the sales amount per article. For each group of orders we could map the sales into a collection of article and sales amount pair where each article could be repeated multiple times. After this is done the Reduce step groups the data so we have a single entry for each article with the total sales amount for that partition. Quite a few people seem to be intimidated by the concept of Map-Reduce. Basic principle The basic Map-Reduce consists of two steps. Simple right? Again pretty simple right? simple example. The Problem Solver - Monday, December 3, 2012 NET RIA Services and data communication I was working on an article about the.NET RIA Services and decided to fire up Fiddler to take a close look at the data actually passed around. was sort of expecting to see a WCF REST based approach with XML messages. Turns out I was wrong, though I expect this option will be added in the future. It turns out the.NET RIA Services use JSON as their serialization format. This is actually kind of nice as the DataContractJsonSerializer is part of the System.ServiceModel.Web assembly and therefore usable by all.NET clients. So the same.NET RIA Services library gives us lots of client options. The Problem Solver - Monday, April 6, 2009 | - Getting started with the.NET RIA Services
A recent article I wrote for the MSDN website just went live. Read is here. The Problem Solver - Tuesday, June 30, 2009 %>
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| The Latest from DevelopMentor | MORE | | Optimistic concurrency in MongoDB using.NET and C# 'This article demonstrates a technique and supporting library for adding optimistic concurrency control to NoSQL databases and MongoDB in particular. At the end of this article is a simple C# class (data context) which has save and delete methods which internally are safe via optimistic concurrency control. Quickly, what is optimistic concurrency control? Ideally, all databases that allow concurrent access or disconnected access need to implement some form of concurrency control. This usually comes in two flavors: Pessimistic concurrency control. Optimistic concurrency control. Michael C. Kennedy's Weblog - Monday, April 8, 2013 People or the system? An article in the MIT Sloan Management Review a few years back suggested that when “star players” move to a new team they don’t necessarily, or even normally, keep their “star player” performance. “the two view-points are always tenable. The one, how can you improve human nature until you have changed the system? The other, what is the use of changing the system before you have improved human nature?” George Orwell, “Charles Dickens” essay in Shooting and Elephant and Other Essays, Penguin Books I am sure I am not alone in exhibiting another of Orwellian trait: Double think. Allan Kelly's Blog - Tuesday, March 26, 2013 Links! - 2 conferences, 1 week This presentation was based on an article I wrote for InfoQ last year My 10 things for making your Agile adoption successful. I’ve been to two conferences this week! The first was Agile Dev Practices in Potsdam, outside of Berlin. At I presented my Retrospective Dialogue Sheets (www.dialoguesheets.com) , well I say presented, it was 10 minutes of introduction, 60 minutes of attendees doing Dialogue Sheets and 20 minutes wrap up. Anyone who has attended one of my Dialogue Sheet sessions will recognise the format. Which also means there aren’t a lot of slides for download. Allan Kelly's Blog - Friday, March 8, 2013 | -
| The Best from DevelopMentor | MORE | - MongoDB vs. SQL Server 2008 Performance Showdown
This article is a follow up one I wrote last week entitled “The NoSQL Movement, LINQ, and MongoDB – Oh My!”. In that article I introduced the NoSQL movement, MongoDB, and showed you how to program against it in.NET … Continue reading → NoSQL Articles Visual Studio Michael C. Kennedy's Weblog - Thursday, April 29, 2010 - Article: 10 Features in.NET 4.0 that made Me Smile
I recently wrote another article for DevelopMentor 's Developments newsletter (not subscribed yet? Speaking of that XAML stuff, if you write WPF or Silverlight code and don’t know MVVM, stop reading this article and tp://msdn.microsoft.com/en-us/magazine/dd419663.aspx" target="_blank">learn about it here. Also have a look at my article from last month Six Things That’ll Surprise You About.NET 4.0. Tags: Articles DevelopMentor see top-right of this page ). This one is entitled. 10 Features in.NET 4.0 that made Me Smile. Cheers, Michael. 10 Features in.NET 4.0 Michael C. Kennedy's Weblog - Wednesday, December 16, 2009 - Building Windows Machines in Amazon EC2
In this article I'm going to give you a simple, step-by-step overview of how to create a Windows 2008 server image in Amazon's Elastic Cloud Compute (EC2) infrastructure. Tags: Articles Tools Now I must admit I'd rather have found a good tutorial on The Internets or even in a book. Feel free to send me any I missed. My experience is they are either dated or about Linux and so on. First, briefly why does one care about EC2? That's a great reason and Microsoft and Google have interesting plays there too. Personally I just want a simpler way to create virtual machines. Here we go. Michael C. Kennedy's Weblog - Saturday, January 30, 2010 - MongoDB vs. SQL Server 2008 Performance Showdown
This article is a follow up one I wrote last week entitled “The NoSQL Movement, LINQ, and MongoDB - Oh My!”. In that article I introduced the NoSQL movement, MongoDB, and showed you how to program against it in.NET using LINQ and NoRM. For ease-of-use, you’ll have to want to read the original article. This article is about the performance argument for MongoDB over SQL Server (or MySql or Oracle). In the first article, I threw out a potentially controversial graph showing MongoDB performing 100 *times* better than SQL Server for inserts. Those were. Your Turn. Michael C. Kennedy's Weblog - Thursday, April 29, 2010 - Article: Azure Storage
I recently wrote an article for DevelopMentor's Developments newsletter entitled Azure Storage. Listen to this article as a podcast: Azure-Storage-Article-Kennedy.mp3 ]. In this article, we will cover just the basics of the three storage services of Windows Azure. Read it at the DevelopMentor website here: [link]. I've republished here for my readers. Enjoy! Developments: Azure Storage. by Michael Kennedy. October 27th 2008, Los Angeles CA - It's 9 AM and Microsoft is hosting PDC (their most forward looking developer conference). Enter Azure Storage. Listing 3. Michael C. Kennedy's Weblog - Wednesday, April 8, 2009 %>
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