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  • How To Use Regular Expressions for Data Validation and Cleanup

    You need to provide data validation at the server level for complex strings like phone numbers, email addresses, etc. You may also need to do data cleanup / standardization before moving it from source to target. Although SQL Server provides a fair number of string functions, the code developed with these built-in functions can become complex and hard to maintain or reuse. The Future of SQL Server Monitoring "Being web-based, SQL Monitor 2.0 enables you to check on your servers from almost any location" Jonathan Allen.Try SQL Monitor now.

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  • Optimized Integration between Oracle Data Integrator and Oracle GoldenGate

    - by Alex Kotopoulis
    The Journalizing Knowledge Module for Oracle GoldenGate's CDC mechanism has just been released as part of the ODI 10.1.3.6_02 patch, and a very useful post from Mark Rittman gives detailed instructions about how to set it up in a sample environment. This integration combines the best of two worlds, the non-invasive, highly performant data replication from Oracle GoldenGate with the innovative and scalable EL-T concept from ODI to perform complex loads into real-time data warehouses. Please also check out the new datasheet about this integration.

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  • Utilisez WCF Data Services 1.5 avec Silverlight, par Benjamin Roux

    Citation: Cet article vous présentera comment utiliser Silverlight et WCF Data Services 1.5. Premièrement, pourquoi utiliser Data Services 1.5 ? Tout simplement parce que l'intégration avec Silverlight est grandement améliorée (INotifyPropertyChanged et ObservableCollection, Two-way binding.). c'est par ici N'hésitez pas à laisser vos commentaires ici même

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  • Webcast Replay Available: E-Business Suite Data Protection

    - by BillSawyer
    I am pleased to release the replay and presentation for the latest ATG Live Webcast: E-Business Suite Data Protection (Presentation)   Robert Armstrong, Product Strategy Security Architect and Eric Bing, Senior Director discussed the best practices and recommendations for securing your E-Business Suite data.Finding other recorded ATG webcasts The catalog of ATG Live Webcast replays, presentations, and all ATG training materials is available in this blog's Webcasts and Training section.

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  • Fetching Data from Multiple Tables using Joins

    Applying normalization to relational databases tends to promote better accuracy of queries, but it also leads to queries that take a little more work to develop, as the data may be spread amongst several tables. In today's article, we'll learn how to fetch data from multiple tables by using joins.

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  • How to reinstall Ubuntu keeping my data intact?

    - by Santosh Linkha
    I want to reinstall Ubuntu keeping my data intact. I have 160 GB hardrive (sata or pata I don't know but it's slim and made in China) with a 40 GB ext3 partition, a 4GB swap memory and 3 other partition with a FAT32 file system. I have around 4GB space on my drive where Linux is installed. I'd like to keep the data intact, especially the Downloads folder, desktop, and /var/www; And I no longer have access to any other machines or external storage devices.

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  • This Week on the Green Data Center Management Front

    Among the big news this week in green data center management: APC will demonstrate how to provide energy while addressing energy efficiency legislation; Altruent Systems announced it has completed a new energy efficient data center for one of its key clients; and Voonami is unveiling what it claims is the greenest in Utah.

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  • Determining distribution of NULL values

    - by AaronBertrand
    Today on the twitter hash tag #sqlhelp, @leenux_tux asked: How can I figure out the percentage of fields that don't have data ? After further clarification, it turns out he is after what proportion of columns are NULL. Some folks suggested using a data profiling task in SSIS . There may be some validity to that, but I'm still a fan of sticking to T-SQL when I can, so here is how I would approach it: Create a #temp table or @table variable to store the results. Create a cursor that loops through all...(read more)

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  • How to programmatically bind to a Core Data model?

    - by Dave Gallagher
    Hello. I have a Core Data model, and was wondering if you know how to create a binding to an Entity, programmatically? Normally you use bind:toObject:withKeyPath:options: to create a binding. But I'm having a little difficulty getting this to work with Core Data, and couldn't find anything in Apple's docs regarding doing this programmatically. The Core Data model is simple: An Entity called Book An Attribute of Book called author (NSString) I have an object called BookController. It looks like so: @interface BookController : NSObject { NSString *anAuthor; } @property (nonatomic, retain) NSString *anAuthor; // @synthesize anAuthor; inside @implementation I'd like to bind anAuthor inside BookController, to author inside a Book entity. This is how I'm attempting to wrongly do it (it partially works): // A custom class I made, providing an interface to the Core Data database CoreData *db = [[CoreData alloc] init]; // Creating a Book entity, saving it [db addMocObject:@"Book"]; [db saveMoc]; // Fetching the Book entity we just created NSArray *books = [db fetchObjectsForEntity:@"Book" withPredicate:nil withSortDescriptors:nil]; NSManagedObject *book = [books objectAtIndex:0]; // Creating the binding BookController *bookController = [[BookController alloc] init]; [bookController bind:@"anAuthor" toObject:book withKeyPath:@"author" options:nil]; // Manipulating the binding [bookController setAnAuthor:@"Bill Gates"]; Now, when updating from the perspective of bookController, things don't work quite right: // Testing the binding from the bookController's perspective [bookController setAnAuthor:@"Bill Gates"]; // Prints: "bookController's anAuthor: Bill Gates" NSLog(@"bookController's anAuthor: %@", [bookController anAuthor]); // OK! // ERROR HERE - Prints: "bookController's anAuthor: (null)" NSLog(@"Book's author: %@", [book valueForKey:@"author"]); // DOES NOT WORK! :( When updating from the perspective of the Book entity, things work fine: // ------------------------------ // Testing the binding from the Book's (Entity) perspective (this works perfect) [book setValue:@"Steve Jobs" forKey:@"author"]; // Prints: "bookController's anAuthor: Steve Jobs" NSLog(@"bookController's anAuthor: %@", [bookController anAuthor]); // OK! // Prints: "bookController's anAuthor: Steve Jobs" NSLog(@"Book's author: %@", [book valueForKey:@"author"]); // OK! It appears that the binding is partially working. I can update it on the side of the Model and it propagates up to the Controller via KVO, but if I update it on the side of the Controller, it doesn't trickle down to the Model via KVC. Any idea on what I'm doing wrong? Thanks so much for looking! :)

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  • Oracle acquires Pillar Data Systems

    - by nospam(at)example.com (Joerg Moellenkamp)
    So far it was an investment of Larry Ellison, but now it's part of Oracle: Oracle has acquired Pillar Data Systems.. You will find more information in the press release.. As i already smell some of the comments:Pillar Data Systems is majority owned by Oracle CEO Larry Ellison. The evaluation and negotiation of the transaction was led by an independent committee of Oracle's Board of Directors. The transaction is structured as a 100% earn-out with no up-front payment.

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  • SQL Server Geography Data Type

    We are working on the migration to SQL Server 2008 and have geospatial data that we would like to move over as well. As part of our application we house information on locations across the globe. Which data type should we use?

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  • Oracle Adattárház Referencia Architektúra, a legjobb gyakorlatból

    - by Fekete Zoltán
    Hogyan építsünk adattárházat, hogyan kapcsoljuk össze a rendszereinkkel? Mi legyen az az architektúra, mellyel a legkisebb kockázattal a legbiztosabban érünk célba? Ezekre a kérdésekre kaphatunk választ az Oracle Data Warehouse Reference Architecture leírásból. Letöltheto a következo dokumentum: Enabling Pervasive BI through a Practical Data Warehouse Reference Architecture

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  • Stairway to XML: Level 2 - The XML Data Type

    Robert Sheldon describes SQL Server's XML Data Type, and shows that it is as easy to configure a variable, column, or parameter with the XML data type as configuring one of these objects with any other datatype Keep your database and application development in syncSQL Connect is a Visual Studio add-in that brings your databases into your solution. It then makes it easy to keep your database in sync, and commit to your existing source control system. Find out more.

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  • SQL SERVER Configure Management Data Collection in Quick Steps T-SQL Tuesday #005

    This article was written as a response to T-SQL Tuesday #005 Reporting.The three most important components of any computer and server are the CPU, Memory, and Hard disk specification. This post talks about how to get more details about these three most important components using the Management Data Collection. Management Data Collection generates the [...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Stairway to XML: Level 4 - Querying XML Data

    You can extract a subset of data from an XML instance by using the query() method, and you can use the value() method to retrieve individual element and attribute values from an XML instance. SQL Monitor v3 is even more powerfulUse custom metrics to monitor and alert on data that's most important for your environment, easily imported from our custom metrics site. Find out more.

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  • Endpoint Security: How to Protect Data on a Laptop

    <b>Small Business Computing:</b> "But the pain of buying a new computer pales in the face of losing the data from an unprotected laptop. A few simple steps toward data protection can avoid an invasion of your privacy and the real likelihood of identity theft."

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  • loading 3d model data into buffers

    - by mulletdevil
    I am using assimp to load 3d model data. I have noticed that each loaded model is made up of different meshes. I was wondering should each mesh have it's own vertex/index buffer or should there just be one for the whole model? From looking through the index data that is loaded it seems to suggest that I will need a vertex buffer per mesh but I'm not 100% sure. I am using C++ and DirectX9 Thank you, Mark

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  • Save object states in .data or attr - Performance vs CSS?

    - by Neysor
    In response to my answer yesterday about rotating an Image, Jamund told me to use .data() instead of .attr() First I thought that he is right, but then I thought about a bigger context... Is it always better to use .data() instead of .attr()? I looked in some other posts like what-is-better-data-or-attr or jquery-data-vs-attrdata The answers were not satisfactory for me... So I moved on and edited the example by adding CSS. I thought it might be useful to make a different Style on each image if it rotates. My style was the following: .rp[data-rotate="0"] { border:10px solid #FF0000; } .rp[data-rotate="90"] { border:10px solid #00FF00; } .rp[data-rotate="180"] { border:10px solid #0000FF; } .rp[data-rotate="270"] { border:10px solid #00FF00; } Because design and coding are often separated, it could be a nice feature to handle this in CSS instead of adding this functionality into JavaScript. Also in my case the data-rotate is like a special state which the image currently has. So in my opinion it make sense to represent it within the DOM. I also thought this could be a case where it is much better to save with .attr() then with .data(). Never mentioned before in one of the posts I read. But then i thought about performance. Which function is faster? I built my own test following: <!DOCTYPE HTML> <html> <head> <title>test</title> <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.7.1/jquery.min.js"></script> <script type="text/javascript"> function runfirst(dobj,dname){ console.log("runfirst "+dname); console.time(dname+"-attr"); for(i=0;i<10000;i++){ dobj.attr("data-test","a"+i); } console.timeEnd(dname+"-attr"); console.time(dname+"-data"); for(i=0;i<10000;i++){ dobj.data("data-test","a"+i); } console.timeEnd(dname+"-data"); } function runlast(dobj,dname){ console.log("runlast "+dname); console.time(dname+"-data"); for(i=0;i<10000;i++){ dobj.data("data-test","a"+i); } console.timeEnd(dname+"-data"); console.time(dname+"-attr"); for(i=0;i<10000;i++){ dobj.attr("data-test","a"+i); } console.timeEnd(dname+"-attr"); } $().ready(function() { runfirst($("#rp4"),"#rp4"); runfirst($("#rp3"),"#rp3"); runlast($("#rp2"),"#rp2"); runlast($("#rp1"),"#rp1"); }); </script> </head> <body> <div id="rp1">Testdiv 1</div> <div id="rp2" data-test="1">Testdiv 2</div> <div id="rp3">Testdiv 3</div> <div id="rp4" data-test="1">Testdiv 4</div> </body> </html> It should also show if there is a difference with a predefined data-test or not. One result was this: runfirst #rp4 #rp4-attr: 515ms #rp4-data: 268ms runfirst #rp3 #rp3-attr: 505ms #rp3-data: 264ms runlast #rp2 #rp2-data: 260ms #rp2-attr: 521ms runlast #rp1 #rp1-data: 284ms #rp1-attr: 525ms So the .attr() function did always need more time than the .data() function. This is an argument for .data() I thought. Because performance is always an argument! Then I wanted to post my results here with some questions, and in the act of writing I compared with the questions Stack Overflow showed me (similar titles) And true enough, there was one interesting post about performance I read it and run their example. And now I am confused! This test showed that .data() is slower then .attr() !?!! Why is that so? First I thought it is because of a different jQuery library so I edited it and saved the new one. But the result wasn't changing... So now my questions to you: Why are there some differences in the performance in these two examples? Would you prefer to use data- HTML5 attributes instead of data, if it represents a state? Although it wouldn't be needed at the time of coding? Why - Why not? Now depending on the performance: Would performance be an argument for you using .attr() instead of data, if it shows that .attr() is better? Although data is meant to be used for .data()? UPDATE 1: I did see that without overhead .data() is much faster. Misinterpreted the data :) But I'm more interested in my second question. :) Would you prefer to use data- HTML5 attributes instead of data, if it represents a state? Although it wouldn't be needed at the time of coding? Why - Why not? Are there some other reasons you can think of, to use .attr() and not .data()? e.g. interoperability? because .data() is jquery style and HTML Attributes can be read by all... UPDATE 2: As we see from T.J Crowder's speed test in his answer attr is much faster then data! which is again confusing me :) But please! Performance is an argument, but not the highest! So give answers to my other questions please too!

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