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2 Articles match "Article","Data Structures"
| Related DevelopMentor Courses | MORE | | Understanding Map - Reduce The Map process gets the raw data as input and discard anything in the data we are not interested in, basically each input has a corresponding output so we end up with the same number of simplified data elements. And the Reduce process takes the output of the Map process and combines/discards data to produce the result. It should output exactly the same data structure as it took as its input. The Orders data structure looks like this: 1: public class Order. During the Map process we just extract the data we are interested in. 10: }. The Problem Solver - Monday, December 3, 2012 Maurice de Beijer: Understanding Map - Reduce The Map process gets the raw data as input and discard anything in the data we are not interested in, basically each input has a corresponding output so we end up with the same number of simplified data elements. And the Reduce process takes the output of the Map process and combines/discards data to produce the result. It should output exactly the same data structure as it took as its input. The Orders data structure looks like this: 1: public class Order. During the Map process we just extract the data we are interested in. 10: }. DevelopMentor Courses - Monday, December 3, 2012 |
6 Articles match "Article","Data Structures"
| The Latest from DevelopMentor | MORE | | Understanding Map - Reduce The Map process gets the raw data as input and discard anything in the data we are not interested in, basically each input has a corresponding output so we end up with the same number of simplified data elements. And the Reduce process takes the output of the Map process and combines/discards data to produce the result. It should output exactly the same data structure as it took as its input. The Orders data structure looks like this: 1: public class Order. During the Map process we just extract the data we are interested in. 10: }. The Problem Solver - Monday, December 3, 2012 Understanding Map - Reduce The Map process gets the raw data as input and discard anything in the data we are not interested in, basically each input has a corresponding output so we end up with the same number of simplified data elements. And the Reduce process takes the output of the Map process and combines/discards data to produce the result. It should output exactly the same data structure as it took as its input. The Orders data structure looks like this: 1: public class Order. During the Map process we just extract the data we are interested in. 10: }. The Problem Solver - Monday, December 3, 2012 Using the Message Mediator Service in MVVM Helpers The message mediator service provided here has two ways of sending messages – one involves just passing a typed data structure, the other involves passing a data structure and a key to identify the target. When no key is supplied, the object data type is used as the key – so anytime that specific type of object is used as the parameter for a message, registered targets expecting that type of object will be notified. invoke dialog using passed data. }. When the SendMessage call returns, the data could be filled in: void OnGetLoadedFiles(). {. Mark's Blog of Random Thoughts - Tuesday, February 22, 2011 | -
| The Best from DevelopMentor | MORE | - 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 ]. The data centers, redundancies, software engineering and operations know-how required to make this happen are exceedingly expensive. billion (that's 2,400 million dollars) on data centers in 2007 alone. These scalable, reliable, and geographically-replicated applications that run on Azure depend on data of course. Table Storage - stores structured data that is somewhat like a database. Michael C. Kennedy's Weblog - Wednesday, April 8, 2009 - Understanding Map - Reduce
The Map process gets the raw data as input and discard anything in the data we are not interested in, basically each input has a corresponding output so we end up with the same number of simplified data elements. And the Reduce process takes the output of the Map process and combines/discards data to produce the result. It should output exactly the same data structure as it took as its input. The Orders data structure looks like this: 1: public class Order. During the Map process we just extract the data we are interested in. 10: }. The Problem Solver - Monday, December 3, 2012 - Using the Message Mediator Service in MVVM Helpers
The message mediator service provided here has two ways of sending messages – one involves just passing a typed data structure, the other involves passing a data structure and a key to identify the target. When no key is supplied, the object data type is used as the key – so anytime that specific type of object is used as the parameter for a message, registered targets expecting that type of object will be notified. invoke dialog using passed data. }. When the SendMessage call returns, the data could be filled in: void OnGetLoadedFiles(). {. - Understanding Map - Reduce
The Map process gets the raw data as input and discard anything in the data we are not interested in, basically each input has a corresponding output so we end up with the same number of simplified data elements. And the Reduce process takes the output of the Map process and combines/discards data to produce the result. It should output exactly the same data structure as it took as its input. The Orders data structure looks like this: 1: public class Order. During the Map process we just extract the data we are interested in. 10: }. The Problem Solver - Monday, December 3, 2012 - Classic Snake in Silverlight 2
Inspired by Dave Wheeler's article in VSJ magazine, I decided it was time to write a simple game in Silverlight 2. Some of the collections data structures are not supported, LinkedList, Queue, Stack.there has been an underlying effort to keep the install of the platform as small as possible, so classes that have functionality that can be easily written using other classes have been tossed out. There is also now support for data binding and resources. Things still trip you up though, transforms don't support data binding and results in less than obvious errors. .NET Mutterings - Sunday, May 18, 2008 - Parallel Boids
Perhaps some of the best addition is the set of concurrent data structures ( cds ). The main reason for digging into Pfx over the last two weeks was to write an article for the August edition of Developmentor's "development's" monthly news letter, this article attempts to cover the highlights of the recent CTP, so after completing that part of it I had to find some fun use of Pfx, so I ported a developmentor favorite "Boids". The last two weeks Ive found myself immersed in looking at the new Pfx CTP release. You can download the code from here .NET Mutterings - Sunday, July 20, 2008 %>
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