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  • Kipróbálható az ingyenes új Oracle Data Miner 11gR2 grafikus workflow-val

    - by Fekete Zoltán
    Oracle Data Mining technológiai információs oldal. Oracle Data Miner 11g Release 2 - Early Adopter oldal. Megjelent, letöltheto és kipróbálható az Oracle Data Mining, az Oracle adatbányászat új grafikus felülete, az Oracle Data Miner 11gR2. Az Oracle Data Minerhez egyszeruen az SQL Developer-t kell letöltenünk, mivel az adatbányászati felület abból indítható. Az Oracle Data Mining az Oracle adatbáziskezelobe ágyazott adatbányászati motor, ami az Oracle Database Enterprise Edition opciója. Az adatbányászat az adattárházak elemzésének kifinomult eszköze és folyamata. Az Oracle Data Mining in-database-mining elonyeit felvonultatja: - nincs felesleges adatmozgatás, a teljes adatbányászati folyamatban az adatbázisban maradnak az adatok - az adatbányászati modellek is az Oracle adatbázisban vannak - az adatbányászati eredmények, cluster adatok, döntések, valószínuségek, stb. szintén az adatbázisban keletkeznek, és ott közvetlenül elemezhetoek Az új ingyenes Data Miner felület "hatalmas gazdagodáson" ment keresztül az elozo verzióhoz képest. - grafikus adatbányászati workflow szerkesztés és futtatás jelent meg! - továbbra is ingyenes - kibovült a felület - új elemzési lehetoségekkel bovült - az SQL Developer 3.0 felületrol indítható, ez megkönnyíti az adatbányászati funkciók meghívását az adatbázisból, ha épp nem a grafikus felületetet szeretnénk erre használni Az ingyenes Data Miner felület az Oracle SQL Developer kiterjesztéseként érheto el, így az elemzok közvetlenül dolgozhatnak az adatokkal az adatbázisban és a Data Miner grafikus felülettel is, építhetnek és kiértékelhetnek, futtathatnak modelleket, predikciókat tehetnek és elemezhetnek, támogatást kapva az adatbányászati módszertan megvalósítására. A korábbi Oracle Data Miner felület a Data Miner Classic néven fut és továbbra is letöltheto az OTN-rol. Az új Data Miner GUI-ból egy képernyokép: Milyen feladatokra ad megoldási lehetoséget az Oracle Data Mining: - ügyfél viselkedés megjövendölése, prediktálása - a "legjobb" ügyfelek eredményes megcélzása - ügyfél megtartás, elvándorlás kezelés (churn) - ügyfél szegmensek, klaszterek, profilok keresése és vizsgálata - anomáliák, visszaélések felderítése - stb.

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  • Some doubts about the use of usermod and groupmod command

    - by AndreaNobili
    I am not yet a true "Linux guy" and I have the following doubts about how exactly do the following shell procedure (a list of commands steps) founded in a tutorial that I am following (I want deeply understand what I am doing before do it): sudo passwd root then login again as root usermod -l miner pi usermod -m -d /home/miner miner groupmod -n miner pi exit So at the beginning it enable the root account and I have to login again in the system as root...this is perfectly clear for me. And now I have the followings doubts: 1) The usermod command: usermod -l miner pi usermod -m -d /home/miner miner Reading the official documentation of the usermod command I understand that this command modify the informations related to an existing account Reading the documentation it seems to me that the -l parmether modify the name of the user pi in miner and then the -m -d paramether move the contents of the old home directory to the new one (named miner) and use this new directory as home directory My doubt is: what exactly do the executions of these operation? I think that: Rename the existing pi user in miner Then move the content of the old home directory (the pi home directory? or what?) into a new directory (/home/miner) that now is the home directory for the miner user. Is it right? The the second doubt is related to this command groupmod -n miner pi It seems to me that change the group name from pi in miner But what exactly is a group in Linux and why is it used? Tnx

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  • CG miner "configure: error: No mining configured in "

    - by Jorma
    Nvidia Gt 630 cuda 5.5 running CGminer not. Cuda examples fine. Should CGminer work or is there limitations to it? sudo ./autogen.sh --disable-cpumining --enable-opencl && make Configuration Options Summary: libcurl(GBT+getwork).: Enabled: -lcurl curses.TUI...........: FOUND: -lncurses Avalon.ASICs.........: Disabled BlackArrow.ASICs.....: Disabled BFL.ASICs............: Disabled BitForce.FPGAs.......: Disabled BitFury.ASICs........: Disabled Hashfast.ASICs.......: Disabled Icarus.ASICs/FPGAs...: Disabled Klondike.ASICs.......: Disabled KnC.ASICs............: Disabled ModMiner.FPGAs.......: Disabled configure: error: No mining configured in

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  • To sample or not to sample...

    - by [email protected]
    Ideally, we would know the exact answer to every question. How many people support presidential candidate A vs. B? How many people suffer from H1N1 in a given state? Does this batch of manufactured widgets have any defective parts? Knowing exact answers is expensive in terms of time and money and, in most cases, is impractical if not impossible. Consider asking every person in a region for their candidate preference, testing every person with flu symptoms for H1N1 (assuming every person reported when they had flu symptoms), or destructively testing widgets to determine if they are "good" (leaving no product to sell). Knowing exact answers, fortunately, isn't necessary or even useful in many situations. Understanding the direction of a trend or statistically significant results may be sufficient to answer the underlying question: who is likely to win the election, have we likely reached a critical threshold for flu, or is this batch of widgets good enough to ship? Statistics help us to answer these questions with a certain degree of confidence. This focuses on how we collect data. In data mining, we focus on the use of data, that is data that has already been collected. In some cases, we may have all the data (all purchases made by all customers), in others the data may have been collected using sampling (voters, their demographics and candidate choice). Building data mining models on all of your data can be expensive in terms of time and hardware resources. Consider a company with 40 million customers. Do we need to mine all 40 million customers to get useful data mining models? The quality of models built on all data may be no better than models built on a relatively small sample. Determining how much is a reasonable amount of data involves experimentation. When starting the model building process on large datasets, it is often more efficient to begin with a small sample, perhaps 1000 - 10,000 cases (records) depending on the algorithm, source data, and hardware. This allows you to see quickly what issues might arise with choice of algorithm, algorithm settings, data quality, and need for further data preparation. Instead of waiting for a model on a large dataset to build only to find that the results don't meet expectations, once you are satisfied with the results on the initial sample, you can  take a larger sample to see if model quality improves, and to get a sense of how the algorithm scales to the particular dataset. If model accuracy or quality continues to improve, consider increasing the sample size. Sampling in data mining is also used to produce a held-aside or test dataset for assessing classification and regression model accuracy. Here, we reserve some of the build data (data that includes known target values) to be used for an honest estimate of model error using data the model has not seen before. This sampling transformation is often called a split because the build data is split into two randomly selected sets, often with 60% of the records being used for model building and 40% for testing. Sampling must be performed with care, as it can adversely affect model quality and usability. Even a truly random sample doesn't guarantee that all values are represented in a given attribute. This is particularly troublesome when the attribute with omitted values is the target. A predictive model that has not seen any examples for a particular target value can never predict that target value! For other attributes, values may consist of a single value (a constant attribute) or all unique values (an identifier attribute), each of which may be excluded during mining. Values from categorical predictor attributes that didn't appear in the training data are not used when testing or scoring datasets. In subsequent posts, we'll talk about three sampling techniques using Oracle Database: simple random sampling without replacement, stratified sampling, and simple random sampling with replacement.

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  • Evaluating Oracle Data Mining Has Never Been Easier - Evaluation "Kit" Available

    - by chberger
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Now you can quickly and easily get set up to starting using Oracle Data Mining for evaluation purposes. Just go to the Oracle Technology Network (OTN) and follow these simple steps. Oracle Data Mining Evaluation "Kit" Instructions Step 1: Download and Install the Oracle Database 11g Release 2 Anyone can download and install the Oracle Database for free for evaluation purposes. Read OTN web site for details. 11.2.0.1.0 DB is the minimum, 11.2.0.2 is better and naturally 11.2.0.3 is best if you are a current customer and on active support. Either 32-bit or 64-bit is fine. 4GB of RAM or more works fine for SQL Developer and the Oracle Data Miner GUI extension. Downloading the database and installing it should take just about an hour or so, depending on your network and computer. For more instructions on setting up Oracle Data Mining see: http://www.oracle.com/technetwork/database/options/odm/dataminerworkflow-168677.html When you install the Oracle Database, the Sample Examples data should also be installed e.g.:Release 2 Examples win32_11gR2_examples.zip (565,154,740 bytes). Contains examples of how to use the Oracle Database. Download if you are new to Oracle and want to try some of the examples presented in the Documentation Step 2: Install SQL Developer 3.1 (the Oracle Data Mining Extension installs automatically) Step 3. Follow the four free step-by-step Oracle-by-Examples e-training lessons: Setting Up Oracle Data Miner 11g Release 2 This tutorial covers the process of setting up Oracle Data Miner 11g Release 2 for use within Oracle SQL Developer 3.0. Using Oracle Data Miner 11g Release 2 This tutorial covers the use of Oracle Data Miner to perform data mining against Oracle Database 11g Release 2. In this lesson, you examine and solve a data mining business problem by using the Oracle Data Miner graphical user interface (GUI). Star Schema Mining Using Oracle Data Miner This tutorial covers the use of Oracle Data Miner to perform star schema mining against Oracle Database 11g Release 2. Text Mining Using Oracle Data Miner This tutorial covers the use of Oracle Data Miner to perform text mining against Oracle Database 11g Release 2. That’s it! Easy, fun and the fastest way to get started evaluating Oracle Data Mining. Enjoy! Charlie

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  • Building an OpenStack Cloud for Solaris Engineering, Part 1

    - by Dave Miner
    One of the signature features of the recently-released Solaris 11.2 is the OpenStack cloud computing platform.  Over on the Solaris OpenStack blog the development team is publishing lots of details about our version of OpenStack Havana as well as some tips on specific features, and I highly recommend reading those to get a feel for how we've leveraged Solaris's features to build a top-notch cloud platform.  In this and some subsequent posts I'm going to look at it from a different perspective, which is that of the enterprise administrator deploying an OpenStack cloud.  But this won't be just a theoretical perspective: I've spent the past several months putting together a deployment of OpenStack for use by the Solaris engineering organization, and now that it's in production we'll share how we built it and what we've learned so far.In the Solaris engineering organization we've long had dedicated lab systems dispersed among our various sites and a home-grown reservation tool for developers to reserve those systems; various teams also have private systems for specific testing purposes.  But as a developer, it can still be difficult to find systems you need, especially since most Solaris changes require testing on both SPARC and x86 systems before they can be integrated.  We've added virtual resources over the years as well in the form of LDOMs and zones (both traditional non-global zones and the new kernel zones).  Fundamentally, though, these were all still deployed in the same model: our overworked lab administrators set up pre-configured resources and we then reserve them.  Sounds like pretty much every traditional IT shop, right?  Which means that there's a lot of opportunity for efficiencies from greater use of virtualization and the self-service style of cloud computing.  As we were well into development of OpenStack on Solaris, I was recruited to figure out how we could deploy it to both provide more (and more efficient) development and test resources for the organization as well as a test environment for Solaris OpenStack.At this point, let's acknowledge one fact: deploying OpenStack is hard.  It's a very complex piece of software that makes use of sophisticated networking features and runs as a ton of service daemons with myriad configuration files.  The web UI, Horizon, doesn't often do a good job of providing detailed errors.  Even the command-line clients are not as transparent as you'd like, though at least you can turn on verbose and debug messaging and often get some clues as to what to look for, though it helps if you're good at reading JSON structure dumps.  I'd already learned all of this in doing a single-system Grizzly-on-Linux deployment for the development team to reference when they were getting started so I at least came to this job with some appreciation for what I was taking on.  The good news is that both we and the community have done a lot to make deployment much easier in the last year; probably the easiest approach is to download the OpenStack Unified Archive from OTN to get your hands on a single-system demonstration environment.  I highly recommend getting started with something like it to get some understanding of OpenStack before you embark on a more complex deployment.  For some situations, it may in fact be all you ever need.  If so, you don't need to read the rest of this series of posts!In the Solaris engineering case, we need a lot more horsepower than a single-system cloud can provide.  We need to support both SPARC and x86 VM's, and we have hundreds of developers so we want to be able to scale to support thousands of VM's, though we're going to build to that scale over time, not immediately.  We also want to be able to test both Solaris 11 updates and a release such as Solaris 12 that's under development so that we can work out any upgrade issues before release.  One thing we don't have is a requirement for extremely high availability, at least at this point.  We surely don't want a lot of down time, but we can tolerate scheduled outages and brief (as in an hour or so) unscheduled ones.  Thus I didn't need to spend effort on trying to get high availability everywhere.The diagram below shows our initial deployment design.  We're using six systems, most of which are x86 because we had more of those immediately available.  All of those systems reside on a management VLAN and are connected with a two-way link aggregation of 1 Gb links (we don't yet have 10 Gb switching infrastructure in place, but we'll get there).  A separate VLAN provides "public" (as in connected to the rest of Oracle's internal network) addresses, while we use VxLANs for the tenant networks. One system is more or less the control node, providing the MySQL database, RabbitMQ, Keystone, and the Nova API and scheduler as well as the Horizon console.  We're curious how this will perform and I anticipate eventually splitting at least the database off to another node to help simplify upgrades, but at our present scale this works.I had a couple of systems with lots of disk space, one of which was already configured as the Automated Installation server for the lab, so it's just providing the Glance image repository for OpenStack.  The other node with lots of disks provides Cinder block storage service; we also have a ZFS Storage Appliance that will help back-end Cinder in the near future, I just haven't had time to get it configured in yet.There's a separate system for Neutron, which is our Elastic Virtual Switch controller and handles the routing and NAT for the guests.  We don't have any need for firewalling in this deployment so we're not doing so.  We presently have only two tenants defined, one for the Solaris organization that's funding this cloud, and a separate tenant for other Oracle organizations that would like to try out OpenStack on Solaris.  Each tenant has one VxLAN defined initially, but we can of course add more.  Right now we have just a single /24 network for the floating IP's, once we get demand up to where we need more then we'll add them.Finally, we have started with just two compute nodes; one is an x86 system, the other is an LDOM on a SPARC T5-2.  We'll be adding more when demand reaches the level where we need them, but as we're still ramping up the user base it's less work to manage fewer nodes until then.My next post will delve into the details of building this OpenStack cloud's infrastructure, including how we're using various Solaris features such as Automated Installation, IPS packaging, SMF, and Puppet to deploy and manage the nodes.  After that we'll get into the specifics of configuring and running OpenStack itself.

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  • Nagy dobás készül az Oracle adatányászati felületen, Oracle Data Mining

    - by Fekete Zoltán
    Ahogyan már a tavaly oszi Oracle OpenWorld hírekben és eloadásokban is láthattuk a beharangozót, az Oracle nagy dobásra készül az adatbányászati fronton (Oracle Data Mining), mégpedig a remekül használható adatbányászati motor grafikus felületének a kiterjesztésével. Ha jól megfigyeljük ezt az utóbbi linket, az eddigi grafikus felület már Oracle Data Miner Classic néven fut. Hogyan is lehet használni az Oracle Data Mining-ot? - Oracle Data Miner (ingyenesen letöltheto GUI az OTN-rol) - Java-ból és PL/SQL-bol, Oracle Data Mining JDeveloper and SQL Developer Extensions - Excel felületrol, Oracle Spreadsheet Add-In for Predictive Analytics - ODM Connector for mySAP BW Oracle Data Mining technikai információ.

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  • How to avoid OLEDB converting "."s into "#"s in column names?

    - by Andrew Miner
    I'm using the ACE OLEDB driver to read from an Excel 2007 spreadsheet, and I'm finding that any '.' character in column names get converted to a '#' character. For example, if I have the following in a spreadsheet: Name Amt. Due Due Date Andrew 12.50 4/1/2010 Brian 20.00 4/12/2010 Charlie 1000.00 6/30/2010 the name of the second column would be reported as "Amt# Due" when read with the following code: OleDbConnection connection = new OleDbConnection( "Provider=Microsoft.ACE.OLEDB.12.0; Data Source={0}; " + "Extended Properties=\"Excel 12.0 Xml;HDR=YES;FMT=Delimited;IMEX=1\""); OldDbCommand command = new OleDbCommand("SELECT * FROM MyTable", connection); OleDbReader dataReader = command.ExecuteReader(); System.Console.WriteLine(dataReader.GetName(1)); I've read through all the documentation I can find and I haven't found anything which even mentions that this will happen. Has anyone run into this before? Is there a way to fix this behavior?

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  • Discover periodic patterns in a large data-set

    - by Miner
    I have a large sequence of tuples on disk in the form (t1, k1) (t2, k2) ... (tn, kn) ti is a monotonically increasing timestamp and ki is a key (assume a fixed length string if needed). Neither ti nor ki are guaranteed to be unique. However, the number of unique tis and kis is huge (millions). n itself is very large (100 Million+) and the size of k (approx 500 bytes) makes it impossible to store everything in memory. I would like to find out periodic occurrences of keys in this sequence. For example, if I have the sequence (1, a) (2, b) (3, c) (4, b) (5, a) (6, b) (7, d) (8, b) (9, a) (10, b) The algorithm should emit (a, 4) and (b, 2). That is a occurs with a period of 4 and b occurs with a period of 2. If I build a hash of all keys and store the average of the difference between consecutive timestamps of each key and a std deviation of the same, I might be able to make a pass, and report only the ones that have an acceptable std deviation(ideally, 0). However, it requires one bucket per unique key, whereas in practice, I might have very few really periodic patterns. Any better ways?

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  • C# System.Diagnostics.Debugger.Debug() stopped working

    - by Andrew Miner
    I'm working on a program which uses the System.Diagnostics.Debugger.Break() method to allow the user to set a breakpoint from the command-line. This has worked fine for many weeks now. However, when I was working on fixing a unit test today, I tried to use the debug switch from the command-line, and it didn't work. Here's what I've tried: I've confirmed that the Debug() method is really being called (by putting a System.Console.WriteLine() after it) I've confirmed that the build is still in Debug I've done a clean build I've restarted Product Studio A quick Google search didn't reveal anything, and the API documentation for .Net doesn't mention anything about this function not performing correctly. So... any ideas?

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  • System.Diagnostics.Debugger.Debug() stopped working

    - by Andrew Miner
    I'm working on a program which uses the System.Diagnostics.Debugger.Break() method to allow the user to set a breakpoint from the command-line. This has worked fine for many weeks now. However, when I was working on fixing a unit test today, I tried to use the debug switch from the command-line, and it didn't work. Here's what I've tried: I've confirmed that the Debug() method is really being called (by putting a System.Console.WriteLine() after it) I've confirmed that the build is still in Debug I've done a clean build I've restarted Product Studio A quick Google search didn't reveal anything, and the API documentation for .Net doesn't mention anything about this function not performing correctly. So... any ideas?

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  • Pig: Count number of keys in a map

    - by Donald Miner
    I'd like to count the number of keys in a map in Pig. I could write a UDF to do this, but I was hoping there would be an easier way. data = LOAD 'hbase://MARS1' USING org.apache.pig.backend.hadoop.hbase.HBaseStorage( 'A:*', '-loadKey true -caching=100000') AS (id:bytearray, A_map:map[]); In the code above, I want to basically build a histogram of id and how many items in column family A that key has. In hoping, I tried c = FOREACH data GENERATE id, COUNT(A_map); but that unsurprisingly didn't work. Or, perhaps someone can suggest a better way to do this entirely. If I can't figure this out soon I'll just write a Java MapReduce job or a Pig UDF.

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  • parallel-python error: RuntimeError("Socket connection is broken")

    - by user288558
    I am using a simple program to send a function: import pp nodes=('mosura02','mosura03','mosura04','mosura05','mosura06', 'mosura09','mosura10','mosura11','mosura12') nodes=('miner:60001',) def pptester(): js=pp.Server(ppservers=nodes) js.set_ncpus(0) tmp=[] for i in range(200): tmp.append(js.submit(ppworktest,(),(),('os',))) return tmp def ppworktest(): import os return os.system("uname -a") the result is: wkerzend@mosura:/home/wkerzend/tmp/ppython_test>ssh miner "source ~/coala_python_setup.sh;ppserver.py -d -p 60001" 2010-04-12 00:50:48,162 - pp - INFO - Creating server instance (pp-1.6.0) 2010-04-12 00:50:52,732 - pp - INFO - pp local server started with 32 workers 2010-04-12 00:50:52,732 - pp - DEBUG - Strarting network server interface=0.0.0.0 port=60001 Exception in thread client_socket: Traceback (most recent call last): File "/usr/lib64/python2.6/threading.py", line 525, in __bootstrap_inner self.run() File "/usr/lib64/python2.6/threading.py", line 477, in run self.__target(*self.__args, **self.__kwargs) File "/home/wkerzend/python_coala/bin/ppserver.py", line 161, in crun ctype = mysocket.receive() File "/home/wkerzend/python_coala/lib/python2.6/site-packages/pptransport.py", line 178, in receive raise RuntimeError("Socket connection is broken") RuntimeError: Socket connection is broken

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  • Going For Gold: AngloGold Ashanti and Oracle Spatial 11g

    - by stephen.garth
    Last chance - Register Now for Free Webinar Date and Time: Thursday May 6 at 11:00am PDT (2:00pm EDT) Check out this 1-hour Directions Media webinar to learn how the world's 3rd largest gold miner has implemented a unique geospatial data infrastructure based on Oracle Spatial 11g to streamline their business processes for gold exploration. Terry Harbort, Exploration Systems Architect with AngloGold Ashanti, will provide insights into the company's use of Oracle Spatial 11g GeoRaster, 3D visualization techniques, Real Application Clusters, and more. The presentation is followed by a live Q&A session. Register Here

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  • Ma este Oracle Data Mining újdonságok webcast!

    - by Fekete Zoltán
    2010. május 12-én szerdán 18 órakor a böngészonkkel kapcsolódva a következo roppant érdekes eloadást hallgathatjuk meg az Oracle BIWA keretében: BIWA SIG TechCast Series - May 12 - Data Mining Made Easy, az eloadó Charlie Berger, az Oracle adatbányászati vezetoje. Könnyen elvégezheto adatbányászat! Az Oracle Data Miner 11g Release 2 új "Work flow" grafikus felületének bevezetése. Csatlakozni az Oracle BIWA-hoz a ezen a linken ingyenesen lehet. Itt találhatjuk meg, hogyan lehet meghallgatni ezt a konferenciát: www.oraclebiwa.org

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  • Questions About Oracle Solaris 11 ? Join The Expert Live Chat !

    - by Markus Weber
    Our recent Oracle Solaris Online Forum was quite popular, especially in the number of questions that have been asked, and answered.In case you missed it, make sure to watch the replay(s). Considering that the sheer amount of questions we got during this event, we decided to listen to you again, and give you direct access to several senior Oracle Solaris engineers and product managers, by joining our Oracle Solaris 11 TechTarget Live Chat - June 27, 8am - 11am PT Register Today ! Senior engineers confirmed so far are: Bart Smaalders, Dave Miner, Nicolas Droux, David Comay

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  • Google I/O 2012 - From Weekend Hack to Funded Startup - How to Build Your Team and Raise Money

    Google I/O 2012 - From Weekend Hack to Funded Startup - How to Build Your Team and Raise Money Naval Ravikant, Rich Miner, Kevin Rose Have an idea and want to start a company? Learn how to attract investors, and what they want to see before writing a check. Hear from entrepreneurs who have raised money and VCs who have funded them. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 0 0 ratings Time: 01:00:30 More in Science & Technology

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  • Oracle Magazine, March/April 2007

    Oracle Magazine March/April features articles on Business Intelligence, Oracle Fusion Applications, Oracle Secure Enterprise Search, Oracle Berkeley DB, Oracle Data Miner, Oracle ADF, and much more.

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  • How to only render part of an image in lwjgl/openGL

    - by Ephyxia
    I'm making a mining/building game in java using slick2D and I want to make it so you can only see a few blocks in any direction while you are underground. The best example I could find of what I want to do is the game miner dig deep. One way I thought of doing it would be to have a large image and just draw transparent areas on it where you need to be able too see but even if that would be an efficient method I wouldn't be sure how to do that.

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  • Recorded YouTube-like presentation and "live" demos of Oracle Advanced Analytics

    - by chberger
    Ever want to just sit and watch a YouTube-like presentation and "live" demos of Oracle Advanced Analytics?  Then ' target=""click here! This 1+ hour long session focuses primarily on the Oracle Data Mining component of the Oracle Advanced Analytics Option and is tied to the Oracle SQL Developer Days virtual and onsite events.   I cover: Big Data + Big Data Analytics Competing on analytics & value proposition What is data mining? Typical use cases Oracle Data Mining high performance in-database SQL based data mining functions Exadata "smart scan" scoring Oracle Data Miner GUI (an Extension that ships with SQL Developer) Oracle Business Intelligence EE + Oracle Data Mining resutls/predictions in dashboards Applications "powered by Oracle Data Mining for factory installed predictive analytics methodologies Oracle R Enterprise Please contact [email protected] should you have any questions.  Hope you enjoy!  Charlie Berger, Sr. Director of Product Management, Oracle Data Mining & Advanced Analytics, Oracle Corporation

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  • Video Presentation and Demo of Oracle Advanced Analytics & Data Mining

    - by Mike.Hallett(at)Oracle-BI&EPM
    For a video presentation and demonstration of Oracle Advanced Analytics & Data Mining  click here. (This plays a large MP4 file in a browser: access is from Google.docs, and this works best with Google CHROME). This one hour session focuses primarily on the Oracle Data Mining component of the Oracle Advanced Analytics Option along with Oracle R Enterprise and is tied to the Oracle SQL Developer Days virtual and onsite events and is presented by Oracle’s Director for Advanced Analytics, Charlie Berger, covering: Big Data + Big Data Analytics Competing on analytics & value proposition What is data mining? Typical use cases Oracle Data Mining high performance in-database SQL based data mining functions Exadata "smart scan" scoring Oracle Data Miner GUI (an Extension that ships with SQL Developer) Oracle Business Intelligence EE + Oracle Data Mining results/predictions in dashboards Applications "powered by Oracle Data Mining" for factory installed predictive analytics methodologies Oracle R Enterprise Please contact [email protected] should you have any questions. 

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  • Solaris Day in NY and Boston

    - by unixman
    Hey all, -- We're hosting yet another Solaris event in New York -- this one will be on November 29th and focused on some key in-depth technologies in Solaris 11, which had just been released earlier this month.  Speakers include Dave Miner, Glenn Brunette and Jeff Victor.  It starts in the morning and goes through lunch; check out the agenda from the below link. Topics include: new and improved installation and package management experience, virtualization, ZFS and security.Please check it out and come join us! The RSVP link is belowhttp://www.oracle.com/go/?&Src=7239490&Act=34&pcode=NAFM10128512MPP016 Additionally, if you are in the Boston area, an identical event will be held in Burlington the following day, on November 30th. The RSVP link for that is http://www.oracle.com/us/dm/h2fy11/21285-nafm10128512mpp013-oem-525338.html Hope to see you there!

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  • SQL Saturday #156 : Providence, RI

    - by AaronBertrand
    Well, East Greenwich, RI. Another successful event, this one put on by John Miner, Brandon Leach, Steve Simon, Scott Abrants and a host of other folks. Several #SQLFamily friends in attendance as well: Grant Fritchey, Mike Walsh, Jack Corbett, Wayne Sheffield and others. I gave a session in the morning and then a session to cap off the day. Thanks to everyone who attended! The downloads are here: T-SQL : Bad Habits & Best Practices The Ins & Outs of Contained Databases...(read more)

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  • Great Blogs About Oracle Solaris 11

    - by Markus Weber
    Now that Oracle Solaris 11 has been released, why not blog about blogs. There is of course a tremendous amount of resource and information available, but valuable insights directly from people actually building the product is priceless. Here's a list of such great blogs. NOTE: If you think we missed some good ones, please let us know in the comments section !  Topic Title Author Top 11 Things My 11 favourite Solaris 11 features Darren Moffat Top 11 Things These are 11 of my favorite things! Mike Gerdts Top 11 Things 11 reason to love Solaris 11     Jim Laurent SysAdmin Resources Solaris 11 Resources for System Administrators Rick Ramsey Overview Oracle Solaris 11: The First Cloud OS Larry Wake Overview What's a "Cloud Operating System"? Harry Foxwell Overview What's New in Oracle Solaris 11 Jeff Victor Try it ! Virtually the fastest way to try Solaris 11 (and Solaris 10 zones) Dave Miner Upgrade Upgrading Solaris 11 Express b151a with support to Solaris 11 Alan Hargreaves IPS The IPS System Repository Tim Foster IPS Building a Solaris 11 repository without network connection Jim Laurent IPS IPS Self-assembly – Part 1: overlays Tim Foster IPS Self assembly – Part 2: multiple packages delivering configuration Tim Foster Security Immutable Zones on Encrypted ZFS Darren Moffat Security User home directory encryption with ZFS Darren Moffat Security Password (PAM) caching for Solaris su - "a la sudo" Darren Moffat Security Completely disabling root logins on Solaris 11 Darren Moffat Security OpenSSL Version in Solaris Darren Moffat Security Exciting Crypto Advances with the T4 processor and Oracle Solaris 11 Valerie Fenwick Performance Critical Threads Optimization Rafael Vanoni Performance SPARC T4-2 Delivers World Record SPECjvm2008 Result with Oracle Solaris 11 BestPerf Blog Performance Recent Benchmarks Using Oracle Solaris 11 BestPerf Blog Predictive Self Healing Introducing SMF Layers Sean Wilcox Predictive Self Healing Oracle Solaris 11 - New Fault Management Features Gavin Maltby Desktop What's new on the Solaris 11 Desktop? Calum Benson Desktop S11 X11: ye olde window system in today's new operating system Alan Coopersmith Desktop Accessible Oracle Solaris 11 - released! Peter Korn

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  • Inheritance versus Composition in a business application

    - by ProfK
    I have a training management and tracking system, with a high level structure as follows: We have a Role1, e.g. Manager, Shift-boss, miner, etc. and a Candidate, training for that Role. The role has a list of courses and their subjects the candidate needs to complete to qualify for the role. Candidate has a TrainingHistory attribute, containing the courses and subjects they have completed, their results, and the date completed. Now I see it as a TrainingHistoryCourse is-a Course, extended to add DateCompleted etc. but something is nagging at me to rather use something like a TrainingHistoryRecord that has-a Course. How can I further analyse this to determine which pattern to use? Then, a Role has a list of RoleTask definitions that the Candidate must be observed practising, and a Candidate has a history of RoleTaskObservation objects recording their performance at these tasks. This is very similar to the course/subject requirement and history pattern for the candidate, except for one less hierarchical level, but, a RoleTaskObservation clearly does not have an is-a relationship with RoleTask, unless I block my nose and rather use ObservedRoleTask. I would prefer to use the same pattern for both subject/course and task/observation structures, but I think that would force me to adopt a composition pattern for TrainingHistoryCourse. What is the wisdom here? Always inherit where possible and validated by a solid is-a association, or always favour composition wherever possible? 1 Client specified this to be called JobTitle, but he isn't writing the app, and a JobTitle is only one attribute of a Role. Authorization roles are handled by the DevExpress framework and its customization hooks, so there would be very little little confusion between a business Role in my domain objects and an authorization role in lower level, framework code.

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