Long-term database guy and MarkLogic VP of Engineering Ron Avnur said that at our last user conference that MarkLogic was “ NoSQL before NoSQL was cool.”  He even made up about 500 t-shirts with that slogan on them and handed them out.  See Ron if you want a t-shirt.  See this post if you want my analysis of his statement. Let’s look first at what MarkLogic is about: Unstructured data.  This means not only dealing with data in odd structures (e.g., sparse and/or semi-structured data), but also handling words and all the challenges that go with them

Originally posted here:
MarkLogic: NoSQL Before NoSQL Was Cool

Hi Paul, Regarding SKOS [1, 2], I’d be happy to try and answer any questions you have. You might also ask on the http://x-query.com/mailman/listinfo/talk mailing list , which is the SKOS community mailing list, and which would also be a good place to ask for recent information on published SKOS data. I’m sorry there is no definitive list of available SKOS data, but two other good places to look for information on published SKOS data are the SKOS implementation report [3] and the SKOS datazone wiki page [4]

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Implementing the XQuery full-text thesaurus match option

There are many ways to export data to SQL Azure. Plain T-SQL INSERT statements, bulk copy utility (bcp.exe) of SQL Server 2008 R2, SQL Azure Migration Wizard and SQL Server Integration Services (SSIS) are some of them. This weekend I wanted to upload…( read more )

Originally posted here:
Exporting Stack Overflow Data to SQL Azure

Visualization tools startup Palantir announced a follow-on financing round yesterday, raising $90M at a claimed $735M valuation .  Since most people aren’t familiar with either finance or VC math , this can generate confusion so I thought I’d do a post explaining a few things. The first is simple:  do not confuse valuation with revenue .  Valuation (or for public companies, market capitalization) is an implied metric based on per-share price and number of shares outstanding.  For example, a public company with 50M shares and a $20 share price has a valuation of $1B.  That alone says nothing about its revenue.   TechCrunch makes this mistake three times in the story, calling Palantir “the next billion-dollar company” in the headline, saying they’re a “near-billion dollar company” in the middle,  and at the end, saying they are close: It’s hard to imagine a billion-dollar company without a sales team, but then again Palantir is getting pretty darn close

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Beware the Spectacular B-Round Valuation

Add this class to your C# project: public class Directory { private string _path; private Directory( string path) { _path = path; } public static Directory ApplicationData { get { return new Directory ( Environment .GetFolderPath( Environment .SpecialFolder.ApplicationData)); } } public static Directory CommonApplicationData { get { return new Directory ( Environment .GetFolderPath( Environment .SpecialFolder.CommonApplicationData)); } } public static Directory operator /( Directory root, string folder) { return new Directory ( Path .Combine(root._path, folder)); } public static implicit operator string ( Directory directory) { return directory._path; } } Now you can express directories naturally: string databaseFileName = Directory .ApplicationData / “MichaelLPerry” / “CorrespondenceIM” / “Correspondence.sdf” ; I don’t have a good place for code like this to live. What do you do with these kinds of utilities?

Original post:
Easy .NET directory helper

SO YES, I finally have the chance to get a video up. I know I made a video very similar to this before, but it was the most horrible video ever.. so here we go again, haha

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[HowTo] Use RSS Feeds

Your conclusion is: Xquery doesn’t get close to the mature capabilities of relational database systems when it comes to dealing with relational data! Well of course it doesn’t. It’s not designed to do that job . Data is naturally hierarchical, and XQuery is good at processing it in its hierarchical form.

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Article posted on Experts Exchange about XQuery
outer joins

Hi all, I’m after some feedback on an article I’ve posted at How to write an XQuery that is the exact equivalent of a SQL OUTER JOIN It would be great to find out if I’ve done something useful, or if I’ve managed to miss something simple that would have achieved the same result! Regards, Andrew Webster Cell: (205) 706-3371 Fax: (866) 567-8013 Skype: andrewmwebster Check Tungle for my free/busy info Want a personal email like mine? Click here ————– next part ————– An HTML attachment was scrubbed..

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Article posted on Experts Exchange about XQuery outer
joins

This is a post on marketing as much as sports.  Here’s my logic: If you want to maximize the audience for your sport, and ergo maximize potential revenues, then outcomes need to be fair.  Professional wrestling excepted (which Wikipedia refers to as “a form of sporting theater”), who wants to watch a sport where the outcome is either random, predetermined, or meaningless? Cycling has been ruined as a sport by doping .  Who wants to invest twenty-something days watching the Tour de France , see Floyd Landis win it, and then get stripped of his title a few days later for doping?  It ruins the fun when people are cheating, and as long as people are cheating the results are meaningless.  Who wants to watch sports where the outcomes are meaningless?  Some people, but not me — I haven’t really followed the Tour since 2006 — and not lots of others.  Ergo, the potential audience is not maximized

Originally posted here:
Doping is to Cycling as Poor Officiating is to Soccer

We are in the middle of one of our periodic analyst tours at MarkLogic , where we meet about 50 top software industry analysts focused in areas like enterprise search, enterprise content management, and database management systems.  The NoSQL movement was one of four key topics we are covering, and while I’d expected some lively discussions about it, most of the time we have found ourselves educating people about NoSQL. In this post, I’ll share the six key points we’re making about NoSQL on the tour. Our first point is that NoSQL systems come in many flavors and it’s not just about key/value stores.  These flavors include: Key/value stores (e.g., Hadoop) Document databases (e.g., MarkLogic, CouchDB) Graph databases (e.g., AllegroGraph) Distributed caching systems (e.g., Memcached) Our second point is that NoSQL is part of a broader trend in database systems :  specialization.  The jack-of-all-trades relational database (e.g., Oracle, DB2) works reasonably well for a broad range of applications — but it is a master of none.  For any specific application, you can design a specialized DBMS that will outperform Oracle by 10 to 1000 times.  Specialization represents, in aggregate, the biggest threat to the big-three DBMS oligopolists.  Examples of specialized DBMSs include: Streambase, Skyler:  real-time stream processing MarkLogic:  semi-structured data Vertica, Greenplum:  mid-range data warehousing Aster:  large-scale (aka “big data”) analytic data warehousing VoltDB:  high volume transaction processing MATLAB:  scientific data management Our third point is that NoSQL is largely orthogonal to specializatio n.  There are specialized NoSQL databases (e.g., MarkLogic) and there are specialized SQL databases (e.g., Aster, Volt).  The only case where I think there are zero examples is general-purpose NoSQL systems.  While I’m sure many of the NoSQL crowd would argue that their systems can do everything, is anyone *really* going to run general ledger or opportunity management on Hadoop?   I don’t think so

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Six Thoughts on The NoSQL Movement