‘Oracle Team Productivity Center (TPC) is an Application Lifecycle Management (ALM) tool that enables software development teams to collaborate and work productively together when developing applications using JDeveloper.’ (OTN TPC page) TPC provides unified access to different ALM repositories from within JDeveloper and it allows to define relations between the so-called work-items in these (separate) repositories.
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Oracle Team Productivity Center
> Part of the answer, I think, is to make performance less reliant on good > optimization. In XSLT , the key() function goes a long way towards this: > by giving programmers a tool to control when indexes are built and used, > performance of many join constructs becomes much more predictable > > I’ve always felt that the anathema felt > in the database query community towards such constructs is misplaced – > alhough it’s great when optimizers are good enough that they aren’t needed, > I’ve seen programmers tearing their hair out trying to second-guess the > optimizer, and in such cases it’s not clear we’re doing programmers a > service. This is indeed somewhat funny.
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Requirements on Optimizers [was ANSWERS to "What's
wrong with XQuery" question]
On 7/25/2010 9:51 AM, Martin Probst wrote: > > Part of the answer, I think, is to make performance less reliant on good > > optimization. In XSLT , the key() function goes a long way towards this: > > by giving programmers a tool to control when indexes are built and used, > > performance of many join constructs becomes much more predictable > > > > > > > It might be nice to have language constructs saying ” guarantee to me > that you do this in O(something), otherwise fail”. > That’s exactly right – for applications with sufficient scale, it’s just not enough to know that a given expression will be evaluated correctly: it’s also critical to understand whether indexed lookup will be applied so as to guarantee completion (or failure) before the universe ends
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Requirements on Optimizers [was ANSWERS to "What's
wrong with XQuery" question]
If you are making a HTTPService call in Flex, you need to make sure that the domain specified in the url attribute is the domain from where your application was downloaded or there is a crossdomain. xml file granting access to your …
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Accessing a URL with Flex and YQL when there is no crossdomain.xml …
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
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
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?
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Easy .NET directory helper
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
