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  • An Overview of the SQL Server xml Data Type

    XML is, it seems, everywhere. SQL Server has ever-improving functionality that helps us peek into, shred, store, manipulate and otherwise utilize XML. This article covers XML variables, XML columns, typed vs. untyped XML, and the xml data type methods.

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  • Question about Byte-Pairing for data compression [closed]

    - by user1669533
    Question about Byte-Pairing for data compression. If byte pairing converts two byte values to a single byte value, splitting the file in half, then taking a gig file and recusing it 16 times shrinks it to 62,500,000. My question is, is byte-pairing really efficient? Is the creation of a 5,000,000 iteration loop, to be conservative, efficient? I would like some feed back on and some incisive opinions please. Best Regards.

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  • Map multiple functions over a single data item

    - by Linus Norton
    I'm in the process of learning Scala and I came across a scenario today where I need to map multiple functions over a single piece of data and wondered if there was a formal name for this. It sort of feels like the inverse of map. I'm not sure this is the correct way of expressing it, but this is what I did: dmap(x: Object, fns: List[Function]) = fns.map(_(x)) Is there a built in way to do something similar? Is there a formal name for this function?

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  • USING JSON SERIALIZATION FOR CODE BEHIND-JAVASCRIPT DATA COMMUNICATION

    Many of us went through a scenario like, can us pass a full of C# type/class to the javascript? Modify from there and again return back to C#? The difficulty is that JavaScript only knows string format comared to C# which has many data types. So how we can pass an entires class to JavaScript? Here we need to handle with JSON serialization techniques.

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  • Binding Data to Web Performance Tests

    Web Performance Tests provide a simple means of ensuring correct and performant responses are being returned from your web application. Testing a wide variety of inputs can be tedious without a way to separate test recording and input selection. Data binding provides a convenient and simple way to try an unlimited number of different inputs as part of your web performance tests using Visual Studio 2010.

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  • Change Data Capture - SQL Server 2008

    Change Data Capture (CDC) records DML operations performed on SQL tables and makes records available with information regarding what changed and when the change happened in a simple way. Compare and sync databases with SQL Compare“SQL Compare is fast, extremely easy to use, full-featured and affordable. I wouldn't bother messing around with anything else.” Adam Machanic, SQL Server MVP. Download a 14-day free trial.

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  • Data Distribution with SQL Server Replication

    This paper provides a foundation for understanding data replication as well as a discussion of the criteria for selecting an appropriate replication technology. Make working with SQL a breezeSQL Prompt 5.3 is the effortless way to write, edit, and explore SQL. It's packed with features such as code completion, script summaries, and SQL reformatting, that make working with SQL a breeze. Try it now.

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  • Is Juju deploy data accessible on the instances?

    - by ric_harvey
    When you launch an instance and explicitly name it using: juju deploy lamp website1 Is there a way on the newly created instance to get the data that tells the machine that its: called website1 or even better: a unit number such as website1/0, website1/1 etc etc The reason for doing this is that in my charm I wish to set the hostname to this value. I did wonder if it was set via ec2metadata but it doesn't seem to list this information.

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  • Migration Guide: Migrating to SQL Server 2012 Failover Clustering and Availability Groups from Prior Clustering and Mirroring Deployments

    This paper provides guidance for customers who prior to SQL Server 2012 have deployed SQL Failover Clustering for local high availability and database mirroring for disaster recovery, and who want to migrate to SQL Server AlwaysOn. It describes the corresponding SQL Server AlwaysOn scenario and the migration paths to SQL Server AlwaysOn. It also contains the important knowledge and considerations that you must know in order to successfully migrate to a HADR solution based on SQL Server AlwaysOn technology, which implements AlwaysOn Failover Cluster Instances for high availability and AlwaysOn Availability Groups for disaster recovery.

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  • sys.dm_os_performance_counters Data Pivoted

    - by NeilHambly
    At times I often want to know what is happening inside my SQL Servers, there are of course a multitude of ways I could "peek" into the activity that has been happening, Sometimes I just need to get a quick summary of those facts, maybe just to know if anything unusal has happened I'm not yet aware of, an easy way I can do that is to query the DMV sys.dm_os_performance_counters, As t here are tons of blog posts already out there on using the data from this DMV, I'm not going to focus...(read more)

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  • Sorting data in the SSIS Pipeline (Video)

    In this post I want to show a couple of ways to order the data that comes into the pipeline. a number of people have asked me about this primarily because there are a number of ways to do it but also because some components in the pipeline take sorted inputs. One of the methods I show is visually easy to understand and the other is less visual but potentially more performant.

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  • Is there a problem in having same product with different names in different pages?

    - by guisasso
    When ot comes to structured data, schema.org for products, Is there a problem in having the same product with 2 different names in 2 different pages for layout reasons? Example: Category page with many products. Objects appear in smaller divs that don't fit complete name vs product page totally dedicated to one product that fits all the information. Category Page: <span itemprop="name">Dell 30" Monitor</span> Product Page: <span itemprop="name">Dell UltraSharp 30" LCD Monitor</span> Thanks

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  • WiFi data collection: An update

    <b>Google Blog:</b> "So how did this happen? Quite simply, it was a mistake. In 2006 an engineer working on an experimental WiFi project wrote a piece of code that sampled all categories of publicly broadcast WiFi data."

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