XML (Extensible Markup Language), which makes data portable, is a key technology in addressing this need. Enterprises have discovered the benefits of using XML for the integration of data — both internally for sharing legacy data among …
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The Role of XML and the Java Platform | NipunInfoTech Blog …
Over the past few weeks, since publishing Smart Content in the Enterprise , I’ve had several fascinating lunchtime conversations with colleagues concerned about content technologies. Our exchanges wind up with a familiar refrain that goes something like this. “Geoffrey, you have great insights about smart content but what am I supposed to do with all this information?” Ah, it’s the damning with faint praise gambit that often signals an analysis paralysis conundrum for decision-making
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What’s Next with Smart Content?
(Revised 10/12/10) In a surprising move, HP announced that it has appointed former SAP executive Léo Apotheker as CEO. In addition, HP has appointed former Oracle executive and Kleiner Perkins partner Ray Lane to its board of directors and named him to the position of non-executive chairman.
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HP Names Former SAP Executive Léo Apotheker as CEO
Just a quick post to highlight our upcoming Digital Publishing Summit on October 28th, 2010 at the lovely Plaza Hotel in New York City. Register here if you’re planning on attending. If you’ve not yet decided to come, here are some reasons that you might: Hear the wonderful speaker, Chris Andersen , editor in chief of Wired , author of The Long Tail and Free , and more recently author of the Wired cover story The Web is Dead, Long Live the Internet . Hear from the brilliant, avuncular David Worlock as he discusses his latest thoughts of the ongoing transition of the media and publishing industry
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Attend the MarkLogic Digital Publishing Summit 10/28/10 at the Plaza Hotel in NYC
Pioneering a new market and introducing an innovative technology in the process invariably results in customer confusion, usually driven by a fairly predictable “I’ve never seen one of those before” reaction: What is a relational database and why would I need one when IMS is doing just fine? What is a business intelligence tool anyway why would I need it in addition to ReportSmith?
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Confusion Is The Enemy and Inconsistency is His Ally
On Mon, Jul 26, 2010 at 5:07 PM, Michael Kay wrote: > > > Fair enough and this is good advice for any technology selection but I > > dont think any of us is bringing up this because its based on idle > > chit chat, if you have data contrary to a vast amount of work going > > online, at conferences, books and yes maybe even in pubs be happy to > > see it. > > > > > > I don’t have data – I don’t think anyone does.
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Fwd: ANSWERS to "What’s wrong with XQuery" question
See EMC’s press release on the deal here . First, some takeaways from the press release and related coverage: All cash transaction, valuation undisclosed. See below for some fun and math, trying to guestimate it from standard ratios. Greenplum had raised $61M in venture capital. EMC intends to create a new “data computing” product division and to have Greenplum CEO Bill Cook run it, reporting to Pat Gelsinger .
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EMC Acquires Data Warehouse Vendor Greenplum; Creates New “Data Computing” Product Division
This video will show how to remove the navigation bar in the blogger’s blogspot. It is possible to remove the navigation bar (some call it as Navigation strip) …
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How to remove the BLOGGER’s Navigation Bar
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
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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
