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• Access-based Enumeration (December 04, 2009)

  - by user12612012

  Access-based Enumeration (ABE) is another recent addition to the Solaris CIFS Service - delivered into snv_124.  Designed to be compatible with Windows ABE, which was introduced in Windows Server 2003 SP1, this feature filters directory content based on the user browsing the directory.  Each user can only see the files and directories to which they have access.  This can be useful to implement an out-of-sight, out-of-mind policy or simply to reduce the number of files presented to each user - to make it easier to find files in directories containing a large number of files. ABE is managed on a per share basis by a new boolean share property called, as you might imagine, abe, which is described insharemgr(1M).  When set to true, ABE filtering is enabled on the share and directory entries to which the user has no access will be omitted from directory listings returned to the client.  When set to false or not defined, ABE filtering will not be performed on the share.  The abe property is not defined by default.Administration is straightforward, for example: # zfs sharesmb=abe=true,name=jane tank/home/jane# sharemgr show -vp    zfs       zfs/tank/home/jane nfs=() smb=()          jane=/export/home/jane     smb=(abe="true") ABE is also supported via sharemgr(1M) and on smbautohome(4) shares. Note that even though a file is visible in a share, with ABE enabled, it doesn't automatically mean that the user will always be able to open the file.  If a user has read attribute access to a file ABE will show the it but access will be denied if this user tries to open the file for reading or writing. We considered supporting ABE on NFS shares, as suggested by the name of PSARC/2009/375, but we ran into problems due to NFS client readdir caching.  NFS clients maintain a common directory entry cache for all users, which not only defeats the intent of ABE but can lead to very confusing results.  If multiple users are looking at the content of a directory with ABE enabled, the entries that get cached will depend on who looks at the directory first.  Subsequent users may see files that ABE on the server would have filtered out or files may be missing because they were filtered out for the original user. Although this issue can be resolved by disabling the NFS client readdir cache, this was deemed to be an unsuitable solution because it would create a dependency between a server share property and the configuration on all NFS clients, and there was the potential for differences in behavior across the various NFS clients.  It just seemed to add unnecessary administration complexity so we pulled it out. References for more information PSARC/2009/246 ZFS support for Access Based Enumeration PSARC/2009/375 ABE share property for NFS and SMB 6802734 Support for Access Based Enumeration 6802736 SMB share support for Access Based Enumeration Windows Access-based Enumeration

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• Update: GTAS and EBS

  - by jeffrey.waterman

  Provided below are updated target date timeframes for provided patches for upcoming legislative enhancements.   Dates have been pushed out from previous dates provided due to changes in Treasury mandatory dates.  Mandatory dates for GTAS and IPAC have changes since previous target dates for patches were provided.   These are target dates, not commitments to deliver functionality. Deliverable Target Timeframes for Customer Patches Comments R12 GTAS Configuration Apr 2012 Patch is available GTAS Key Processes Oct/Nov 2012 Includes GTAS processes necessary to create the GTAS interface file, migration of FACTS balances to GTAS, GTAS Trial Balance, and GTAS Transaction Register. GTAS Reports Nov/Dec 2012 GTAS Trial Balance GTAS Transaction Register Capture of Trading Partner TAS/BETC Apr/May 2013 Includes modification necessary to capture BETC, Trading Partner TAS/BETC on relevant transactions. GTAS Other Processes May/Jun  2013 Includes GTAS Customer and Vendor  update processes. IPAC Aug/Sep Includes modification required to IPAC to accommodate Componentized TAS and BETC. 11i GTAS Configuration May 2012 Patch is available GTAS Key Processes Nov/Dec 2012 Includes GTAS processes necessary to create the GTAS interface file, migration of FACTS balances to GTAS, GTAS Trial Balance, and GTAS Transaction Register. GTAS Reports Dec/Jan 2012 GTAS Trial Balance GTAS Transaction Register Capture of Trading Partner TAS/BETC May/Jun 2013 Includes modification necessary to capture BETC, Trading Partner TAS/BETC on relevant transactions. GTAS Other Processes Jun/Jul 2013 Includes GTAS Customer and Vendor  update processes. IPAC Sep/Oct 2013 Includes modification required to IPAC to accommodate Componentized TAS and BETC.

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• Analytics in an Omni-Channel World

  - by David Dorf

  Retail has been around ever since mankind started bartering.  The earliest transactions were very specific to the individuals buying and selling, then someone had the bright idea to open a store.  Those transactions were a little more generic, but the store owner still knew his customers and what they wanted.  As the chains rolled out, customer intimacy was sacrificed for scale, and retailers began to rely on segments and clusters.  But thanks to the widespread availability of data and the technology to convert said data into information, retailers are getting back to details. The retail industry is following a maturity model for analytics that is has progressed through five stages, each delivering more value than the previous. Store Analytics Brick-and-mortar retailers (and pure-play catalogers as well) that collect anonymous basket-level data are able to get some sense of demand to help with allocation decisions.  Promotions and foot-traffic can be measured to understand marketing effectiveness and perhaps focus groups can help test ideas.  But decisions are influenced by the majority, using faceless customer segments and aggregated industry data points.  Loyalty programs help a little, but in many cases the cost outweighs the benefits. Web Analytics The Web made it much easier to collect data on specific, yet still anonymous consumers using cookies to track visits. Clickstreams and product searches are analyzed to understand the purchase journey, gauge demand, and better understand up-selling opportunities.  Personalization begins to allow retailers target market consumers with recommendations. Cross-Channel Analytics This phase is a minor one, but where most retailers probably sit today.  They are able to use information from one channel to bolster activities in another. However, there are technical challenges combining data silos so its not an easy task.  But for those retailers that are able to perform analytics on both sources of data, the pay-off is pretty nice.  Revenue per customer begins to go up as customers have a better brand experience. Mobile & Social Analytics Big data technologies are enabling a 360-degree view of the customer by incorporating psychographic data from social sites alongside traditional demographic data.  Retailers can track individual preferences, opinions, hobbies, etc. in order to understand a consumer's motivations.  Using mobile devices, consumers can interact with brands anywhere, anytime, accessing deep product information and reviews.  Mobile, combined with a loyalty program, presents an opportunity to put shopping into geographic context, understanding paths to the store, patterns within the store, and be an always-on advertising conduit. Omni-Channel Analytics All this data along with the proper technology represents a new paradigm in which the clock is turned back and retail becomes very personal once again.  Rich, individualized data better illuminates demand, allows for highly localized assortments, and helps tailor up-selling.  Interactions with all channels help build an accurate profile of each consumer, and allows retailers to tailor the retail experience to meet the heightened expectations of today's sophisticated shopper.  And of course this culminates in greater customer satisfaction and business profitability.

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• Announcement: New Tutorial - Using ADF Faces and ADF Controller with OEPE

  - by Juan Camilo Ruiz

  We are happy to announce the publication of our newest tutorial, that explores some of the latest features added in our OEPE 12c release for ADF Development. The tutorial walks you through the creation of an ADF application that uses the ADF Faces Rich Client components, in combination with the ADF Controler, ADF Model and JPA. By developing this tutorial you will work and understand various features added into OEPE 12c that are specific to ADF development such as: ADF taskflow editor Visual pageDefinition editor ADF integration with AppXRay Navigation across artifacts such as pages, pageDefinition, managed beans, etc. Property inspector for ADF Faces components. Stay tunned for more and exciting tutorials that explore this and much more OEPE features. And of course your feedback is always welcome!

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• Creating Custom validation rule and register it

  - by FormsEleven

  What is Validation Rule? A validation rule is a piece of code that performs some check ensuring that data meets given constraints.In an enterprise application development environment, often it might require developers to have validation be performed based on some logic at several places across projects. Instead of redundant validation creation, a custom validation rule provides a library with a validation rules that can be registered and used across applications.A custom Validation is encapsulated in a reusable component so that you do not have to write it every time when you need to do input validation. Here is how we can easily implement a custom validation that checks for name of an employee to be "KING" For creating a custom Validation , 1.         Create Generic Application Workspace "CustomValidator" with the project "Model" 2.         Create an BC4J based on emp table. 3.         Create a custom validation rule.In EmpNamerule class, update the validateValue(..) method as follows:  public boolean validateValue(Object value) { EntityImpl emp = (EntityImpl)value; if(emp.getAttribute("Ename").toString().equals("KING")){ return false; } return true; } Create ADF Library: Next step would be to create ADF library. Create ADF library with name lets say testADFLibrary1.jarRegister ADF Library Next step is to register the ADF library , so that its available across the applications. Invoke the menu "Tools -> Preferences"Select the option "Business Components -> Registered Rules" from left paneClick on button "Pick Library". The dialog "Select Library" comes up with  the user library addedAdd new library' that points to the above jarCheck the checkbox "Register" and set the name for the rule Sample UsageHere is how we can easily implement a validation rule that restrict the name of the employee not to be "KING".Create new Application with BC4J based on EMP table.Create new validation under Business rule tab for Ename & select the above custom validation rule.Run the AppModule tester.

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• Week 17: Specialization Flashback

  - by sandra.haan

  Remember when E.T. phoned home and Ferris had a day off? Or when Michael Jackson did the moonwalk and Madonna was the Material Girl? That's what we call an 80's flashback. Remember when we offered you 11 specializations? That's what we call a Specialization flashback considering we now have over 35 Specializations available. A lot has changed since we rolled-out OPN Specialized last year. Listen in as Nick Kritikos talks about the latest specializations available. Now get out of that DeLorean and take a look at the Specialization Guide to determine how your company can get Specialized. Until next time, The OPN Communications Team

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• CRM Evolution 2014: Mediocrity is the New Horrible in Customer Service

  - by Tuula Fai

  "Mediocrity is the new horrible in customer service," Blair McHaney, Gold's Gym Almost everyone knows that customers' expectations have risen. But, after listening to two days of presentations at CRM Evolution, I think it’s more accurate to say that customers' expectations have skyrocketed. Fortunately, most companies have gotten the message and are taking their customer service to a higher level. For those who've been hesitant to 'boldly go where their customer service organization has not gone before,' take heart. I’ve got some statistics that will encourage you to take those first few steps. Why should I change? By engaging customers online, ancestry.com achieved a 99.5% customer satisfaction score (CSAT) while improving retention and saving millions on greater efficiency, including a 38%-50% drop in inbound calls and emails.1 By empowering employees to delight customers, Gold’s Gym achieved a 77.5% Net Promoter Score (NPS) and 22% customer churn rate. No small feat when you consider the industry averages are 40% NPS and 45% churn.2 By adapting quickly to social media, brands like Verizon have benefited from social community members spending 2.5x-10x more than average customers.3 ‘The fierce urgency of now’ is upon us in customer service. You can take your customer service to a higher level! To find out more, click here CRM Evolution Customer Service Experience Footnotes: 1. Arvindh Balakrishnan, Is Your Customer Service Modern?2. Blair McHaney, Wire Your Organization with Customer Feedback3. Becky Carroll, The Power of Communities for Improving the Service Experience and Building Advocates

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• Short Season, Long Models - Dealing with Seasonality

  - by Michel Adar

  Accounting for seasonality presents a challenge for the accurate prediction of events. Examples of seasonality include: ·         Boxed cosmetics sets are more popular during Christmas. They sell at other times of the year, but they rise higher than other products during the holiday season. ·         Interest in a promotion rises around the time advertising on TV airs ·         Interest in the Sports section of a newspaper rises when there is a big football match There are several ways of dealing with seasonality in predictions. Time Windows If the length of the model time windows is short enough relative to the seasonality effect, then the models will see only seasonal data, and therefore will be accurate in their predictions. For example, a model with a weekly time window may be quick enough to adapt during the holiday season. In order for time windows to be useful in dealing with seasonality it is necessary that: The time window is significantly shorter than the season changes There is enough volume of data in the short time windows to produce an accurate model An additional issue to consider is that sometimes the season may have an abrupt end, for example the day after Christmas. Input Data If available, it is possible to include the seasonality effect in the input data for the model. For example the customer record may include a list of all the promotions advertised in the area of residence. A model with these inputs will have to learn the effect of the input. It is possible to learn it specific to the promotion – and by the way learn about inter-promotion cross feeding – by leaving the list of ads as it is; or it is possible to learn the general effect by having a flag that indicates if the promotion is being advertised. For inputs to properly represent the effect in the model it is necessary that: The model sees enough events with the input present. For example, by virtue of the model lifetime (or time window) being long enough to see several “seasons” or by having enough volume for the model to learn seasonality quickly. Proportional Frequency If we create a model that ignores seasonality it is possible to use that model to predict how the specific person likelihood differs from average. If we have a divergence from average then we can transfer that divergence proportionally to the observed frequency at the time of the prediction. Definitions: Ft = trailing average frequency of the event at time “t”. The average is done over a suitable period of to achieve a statistical significant estimate. F = average frequency as seen by the model. L = likelihood predicted by the model for a specific person Lt = predicted likelihood proportionally scaled for time “t”. If the model is good at predicting deviation from average, and this holds over the interesting range of seasons, then we can estimate Lt as: Lt = L * (Ft / F) Considering that: L = (L – F) + F Substituting we get: Lt = [(L – F) + F] * (Ft / F) Which simplifies to: (i)                  Lt = (L – F) * (Ft / F)  +  Ft This latest expression can be understood as “The adjusted likelihood at time t is the average likelihood at time t plus the effect from the model, which is calculated as the difference from average time the proportion of frequencies”. The formula above assumes a linear translation of the proportion. It is possible to generalize the formula using a factor which we will call “a” as follows: (ii)                Lt = (L – F) * (Ft / F) * a  +  Ft It is also possible to use a formula that does not scale the difference, like: (iii)               Lt = (L – F) * a  +  Ft While these formulas seem reasonable, they should be taken as hypothesis to be proven with empirical data. A theoretical analysis provides the following insights: The Cumulative Gains Chart (lift) should stay the same, as at any given time the order of the likelihood for different customers is preserved If F is equal to Ft then the formula reverts to “L” If (Ft = 0) then Lt in (i) and (ii) is 0 It is possible for Lt to be above 1. If it is desired to avoid going over 1, for relatively high base frequencies it is possible to use a relative interpretation of the multiplicative factor. For example, if we say that Y is twice as likely as X, then we can interpret this sentence as: If X is 3%, then Y is 6% If X is 11%, then Y is 22% If X is 70%, then Y is 85% - in this case we interpret “twice as likely” as “half as likely to not happen” Applying this reasoning to (i) for example we would get: If (L < F) or (Ft < (1 / ((L/F) + 1)) Then  Lt = L * (Ft / F) Else Lt = 1 – (F / L) + (Ft * F / L)  

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• Hai mai pensato a quanto ti costa qualificare le tue opportunità commerciali?

  - by user812481

  Il successo delle attività di marketing è dovuto alla profonda conoscenza dei propri clienti: chi sono, cosa acquistano e perché, come preferiscono essere contattati. Se i dati sui clienti sono distribuiti su più sistemi, rispondere a queste domande diventa difficile ed oneroso. Hai bisogno di un mix di strumenti best-in-class per l'automazione della forza di vendita e per l'efficienza delle attività di marketing, facendo confluire i dati chiave in un unico punto di accesso, per una visione a 360 gradi dei clienti. Vorresti incrementare il ROI delle campagne di marketing, proponendo diversi messaggi in funzione dei differenti target, ottenendo così un maggior successo delle iniziative? Scopri come ottenere una conoscenza maggiore del target per creare campagne di successo, mirate e personalizzate, attraverso video in italiano e docuemtni da condividere con i vostri colleghi.

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• Developer Day @ OOP 2001with SOA Specialized Partners

  - by Jürgen Kress

  Oracle SOA Specialized Partners like Opitz Consulting participate in our key marketing events. Therefore make sure that you start your journey to SOA Specialization! ORACLE Developer Day auf der OOP: Entdecken Sie die Einsatzmöglichkeiten und Leistungsfähigkeit der Java-Technologie! incl. Live Hacking mit Special Guest: JAVA Guru Adam Bien! Enterprise-Anwendungen leicht gemacht! Beschleunigen Sie Ihre Entwicklung mit Java. Kommen Sie zum kostenlosen Ganztages-Workshop von ORACLE auf der OOP und lernen Sie die Leistungsfähigkeit von Java kennen. Erfahren Sie mehr über die Java Strategie und die Produktroadmap, welche Einsatzmöglichkeiten Java SE für Embedded erschließt und wie sich eine SOA und BPM-Lösung auf der Basis von Java realisieren lässt. Die vielfältigen Verbesserungen von Java EE6 erleichtern den Entwicklern das Leben erheblich. Kennen Sie bereits das Potential von Java EE6? Adam Bien wird Sie mit einem Live-Hacking von den Stühlen reißen. Torsten Winterberg, Oracle Fusion Middleware ACE Director und Danilo Schmiedel stellen vor wie Java Entwickler die Oracle SOA & BPM Lösungen einbinden können. Am Nachmittag können Sie dann in einer Hands-On Session mit Ihrem eigenen Laptop Java Persistence API, Java Beans, CDI und weitere Technologien ausprobieren. In diesem kostenlosen Workshop von Oracle können Sie sich mit Gleichgesinnten austauschen, sich die neueste Technik direkt von den Oracle Experten zeigen lassen und an praktischen Programmierübungen teilnehmen. Auf dieser Veranstaltung sind Sie richtig, wenn Sie mehr über den aktuellen Status der Java Roadmap wissen wollen, mehr über Java Technologie- und Lösungen (Java SE, ME, etc) erfahren wollen, die Plattform Java EE erproben, die Vorteile der Java EE 6 für Ihre Arbeit verstehen möchten, wenn Sie auf eine Enterprise-Landschaft hochskalieren wollen, mit Java Server Faces Front-Ends erstellen, neue Entwicklungsprojekte planen oder gerade in Angriff annehmen. Registrieren Sie sich jetzt!   ICM - Internationales Congress Center München Am Messesee, Trudering-Riem 81829 München 27. Januar 2011 9.00 Uhr - 16.30 Uhr For more information on SOA Specialization and the SOA Partner Community please feel free to register at www.oracle.com/goto/emea/soa (OPN account required) Blog Twitter LinkedIn Mix Forum Wiki Website Technorati Tags: OOP,Adam Bien,Torsten Winterberg,Opitz Consulting,Oracle,SOA,SOA Specialization,OPN

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• CRM vs VRM

  - by David Dorf

  In a previous post, I discussed the potential power of combining social, interest, and location graphs in order to personalize marketing and shopping experiences for consumers.  Marketing companies have been trying to collect detailed information for that very purpose, a large majority of which comes from tracking people on the internet.  But their approaches stem from the one-way nature of traditional advertising.  With TV, radio, and magazines there is no opportunity to truly connect to customers, which has trained marketing companies to [covertly] collect data and segment customers into easily identifiable groups.  To a large extent, we think of this as CRM. But what if we turned this viewpoint upside-down to accommodate for the two-way nature of social media?  The notion of marketing as conversations was the basis for the Cluetrain, an early attempt at drawing attention to the fact that customers are actually unique humans.  A more practical implementation is Project VRM, which is a reverse CRM of sorts.  Instead of vendors managing their relationships with customers, customers manage their relationships with vendors. Your shopping experience is not really controlled by you; rather, its controlled by the retailer and advertisers.  And unfortunately, they typically don't give you a say in the matter.  Yes, they might tailor the content for "female age 25-35 interested in shoes" but that's not really the essence of you, is it?  A better approach is to the let consumers volunteer information about themselves.  And why wouldn't they if it means a better, more relevant shopping experience?  I'd gladly list out my likes and dislikes in exchange for getting rid of all those annoying cookies on my harddrive. I really like this diagram from Beyond SocialCRM as it captures the differences between CRM and VRM. The closest thing to VRM I can find is Buyosphere, a start-up that allows consumers to track their shopping history across many vendors, then share it appropriately.  Also, Amazon does a pretty good job allowing its customers to edit their profile, which includes everything you've ever purchased from Amazon.  You can mark items as gifts, or explicitly exclude them from their recommendation engine.  This is a win-win for both the consumer and retailer. So here is my plea to retailers: Instead of trying to infer my interests from snapshots of my day, please just ask me.  We'll both have a better experience in the long-run.

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• How To: Using spatial data with Entity Framework and Connector/Net

  - by GABMARTINEZ

  One of the new features introduced in Entity Framework 5.0 is the incorporation of some new types of data within an Entity Data Model: the spatial data types. These types allow us to perform operations on coordinates values in an easier way. There's no need to add stored routines or functions for every operation among these geometry types, now the user can have the alternative to put this logic on his application or keep it in the database. In the new 6.7.4 version there's also this new feature incorporated to Connector/Net library so our users can start exploring it and could provide us some feedback or comments about this new functionality. Through this tutorial on how to create a Code First Entity Model with a geometry column, we'll show an example on using Geometry types and some common operations when using geometry types inside an application. Requirements: - Connector/Net 6.7.4 - Entity Framework 5.0 version - .NET Framework 4.5 version - Basic understanding on Entity Framework and C# language. - An installed and running instance of MySQL Server 5.5.x or 5.6.10 version- Visual Studio 2012. Step One: Create a new Console Application  Inside Visual Studio select File->New Project menu option and select the Console Application template. Also make sure the .Net 4.5 version is selected so the new features for EF 5.0 will work with the application. Step Two: Add the Entity Framework Package For adding the Entity Framework Package there is more than one option: the package manager console or the Manage Nuget Packages option dialog. If you want to open the Package Manager Console, go to the Tools Menu -> Library Package Manager -> Package Manager Console. On the Package Manager Console Type:Install-Package EntityFrameworkThis will add the reference to the project of the latest released No alpha version of Entity Framework. Step Three: Adding Entity class and DBContext We'll add a simple class that represents a table entity to save some places and its location using a DBGeometry column that will be mapped to a Geometry type in MySQL. After that some operations can be performed using this data. public class MyPlace { [Key] public int Id { get; set; } public string name { get; set; } public DbGeometry location { get; set; } } public class JourneyDb : DbContext { public DbSet<MyPlace> MyPlaces { get; set; } }  Also make sure to add the connection string to the App.Config file as in the example: <?xml version="1.0" encoding="utf-8"?> <configuration>   <configSections>     <!-- For more information on Entity Framework configuration, visit http://go.microsoft.com/fwlink/?LinkID=237468 -->     <section name="entityFramework" type="System.Data.Entity.Internal.ConfigFile.EntityFrameworkSection, EntityFramework, Version=5.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089" requirePermission="false" />   </configSections>   <startup>     <supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.5" />   </startup>   <connectionStrings>     <add name="JourneyDb" connectionString="server=localhost;userid=root;pwd=;database=journeydb" providerName="MySql.Data.MySqlClient"/>   </connectionStrings>   <entityFramework>     </entityFramework> </configuration> Note also that the <entityFramework> section is empty.Step Four: Adding some new records.On the Program.cs file add the following code for the Main method so the Database gets created and also some new data can be added to the new table. This code adds some records containing some determinate locations. After being added a distance function will be used to know how much distance has each location in reference to the Queens Village Station in New York. static void Main(string[] args)    {     using (JourneyDb cxt = new JourneyDb())      {        cxt.Database.Delete();        cxt.Database.Create();         cxt.MyPlaces.Add(new MyPlace()        {          name = "JFK INTERNATIONAL AIRPORT OF NEW YORK",          location = DbGeometry.FromText("POINT(40.644047 -73.782291)"),        });         cxt.MyPlaces.Add(new MyPlace()        {          name = "ALLEY POND PARK",          location = DbGeometry.FromText("POINT(40.745696 -73.742638)"),        });       cxt.MyPlaces.Add(new MyPlace()        {          name = "CUNNINGHAM PARK",          location = DbGeometry.FromText("POINT(40.735031 -73.768387)"),        });         cxt.MyPlaces.Add(new MyPlace()        {          name = "QUEENS VILLAGE STATION",          location = DbGeometry.FromText("POINT(40.717957 -73.736501)"),        });         cxt.SaveChanges();         var points = (from p in cxt.MyPlaces                      select new { p.name, p.location });        foreach (var item in points)       {         Console.WriteLine("Location " + item.name + " has a distance in Km from Queens Village Station " + DbGeometry.FromText("POINT(40.717957 -73.736501)").Distance(item.location) * 100);       }       Console.ReadKey();      }  }}Output : Location JFK INTERNATIONAL AIRPORT OF NEW YORK has a distance from Queens Village Station 8.69448802402959 Km. Location ALLEY POND PARK has a distance from Queens Village Station 2.84097675104912 Km. Location CUNNINGHAM PARK has a distance from Queens Village Station 3.61695793727275 Km. Location QUEENS VILLAGE STATION has a distance from Queens Village Station 0 Km. Conclusion:Adding spatial data to a table is easier than before when having Entity Framework 5.0. This new Entity Framework feature that handles spatial data columns within the Data layer has a lot of integrated functions and methods toease this type of tasks.Notes:This version of Connector/Net is just released as GA so is preatty much stable to be used on a ProductionEnvironment. Please send us your comments or questions using this blog or at the Forums where we keep answering any questions you have about Connector/Net and MySQL Server.A copy of this sample project can be downloaded here. This application does not include any library so you will haveto add them before running it. Happly MySQL/.Net Coding.

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• Demo on Data Guard Protection From Lost-Write Corruption

  - by Rene Kundersma

  Today I received the news a new demo has been made available on OTN for Data Guard protection from lost-write corruption. Since this is a typical MAA solution and a very nice demo I decided to mention this great feature also in this blog even while it's a recommended best practice for some time. When lost writes occur an I/O subsystem acknowledges the completion of the block write even though the write I/O did not occur in the persistent storage. On a subsequent block read on the primary database, the I/O subsystem returns the stale version of the data block, which might be used to update other blocks of the database, thereby corrupting it.  Lost writes can occur after an OS or storage device driver failure, faulty host bus adapters, disk controller failures and volume manager errors. In the demo a data block lost write occurs when an I/O subsystem acknowledges the completion of the block write, while in fact the write did not occur in the persistent storage. When a primary database lost write corruption is detected by a Data Guard physical standby database, Redo Apply (MRP) will stop and the standby will signal an ORA-752 error to explicitly indicate a primary lost write has occurred (preventing corruption from spreading to the standby database). Links: MOS (1302539.1). "Best Practices for Corruption Detection, Prevention, and Automatic Repair - in a Data Guard Configuration" Demo MAA Best Practices Rene Kundersma

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• Announcing Upcoming SOA and JMS Introductory Blog Posts

  - by John-Brown.Evans

  Announcing Upcoming SOA and JMS Introductory Blog Posts Beginning next week, SOA Proactive Support will begin posting a series of introductory blogs here on working with JMS in a SOA context. The posts will begin with how to set up JMS in WebLogic server, lead you through reading and writing to a JMS queue from the WLS Java samples, continue with how to access it from a SOA composite and, finally, describe how to set up and access AQ JMS (Advanced Queuing JMS) from a SOA/BPEL process. The posts will be of a tutorial nature and include step-by-step examples. Your questions and feedback are encouraged. The following topics are planned: How to Create a Simple JMS Queue in Weblogic Server 11g Using the QueueSend.java Sample Program to Send a Message to a JMS Queue Using the QueueReceive.java Sample Program to Read a Message from a JMS Queue How to Create an 11g BPEL Process Which Writes a Message Based on an XML Schema to a JMS Queue How to Create an 11g BPEL Process Which Reads a Message Based on an XML Schema from a JMS Queue How to Set Up an AQ JMS (Advanced Queueing JMS) for SOA Purposes How to Write to an AQ JMS Queue from a BPEL Process How to Read from an AQ JMS Queue from a BPEL Process

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• What's Old is New Again

  - by David Dorf

  Last night I told my son he could stream music to his tablet "from the cloud" (in this case, the Amazon Cloud).  He paused, then said, "what is the cloud?"  I replied, "a bunch of servers connected to the internet."  Apparently he had visions of something much more magnificent.  Another similar term is "big data."  These marketing terms help to quickly convey topics but are oversimplifications that are open to many interpretations.  At their core, those terms a shiny packages holding recycled ideas. I see many headlines declaring big data changes everything, but it doesn't.  Savvy retailers have been dealing with large volumes of data since the electronic cash register was invented.  But the there have a been a few changes to the landscape that make big data a topic of conversation: 1. Computing power has caught up to storage volumes. Its now possible to more thoroughly analyze the copious volumes of data retailers have been squirreling away.  CPUs are faster, sold state drives more plentiful, and new ways to store and search data are available.  My iPhone is more power than the computer used in the Apollo mission to the moon. 2. Unstructured data is everywhere.  The Web used to be where retailers published product information, but now users are generating the bulk of the content in the form of comments, videos, and "likes."  The variety of information available to retailers is huge, and it meaning difficult to discern. 3. Everything is connected.  Looking at a report from my router, there are no less than 20 active devices on my home network.  We can track the location of mobile phones, tag products with RFID, and set our thermostats (I love my Nest) from a thousand miles away.  Not only is there more data, but its arriving at higher velocity. Careful readers will note the three Vs that help define so-called big data: volume, variety, and velocity. We now have more volume, more variety, and more velocity and different technologies to deal with them.  But at the heart, the objectives are still the same: Informed decisions Accurate forecasts Improved optimizations So don't let the term "big data" throw you off the scent.  Retailers still need to execute on the basics.  But do take a fresh look at the data that's available and the new technologies to process it.  The landscape will continue to change and agile organizations will always be reevaluating their approaches.  You can just add some more weapons to the arsenal.

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• Customisation / overriding of the Envelop ecs files

  - by Dheeraj Kumar M

  There are few usecases where the requirement is to customise the envelop information (Interchange/Group ecs file). Such scenarios might be required to be used for only few of the customers. Hence, in addition to the default seeded envelop definitions, it also required to upload the customised definitions. Here is the steps for achieving the same. 1. Create only the Interchange ecs and save 2. Create only the group ecs and save 3. Use the same in B2B 1. Create only the Interchange ecs and save :       Open the document editor and select the required version and doctype. During creating new ecs, ensure to select the checkbox for insert envelop.       Once created, delete the group and transactionset nodes and retain only the Interchange ecs nodes, including both header and trailer. Save this file. 2. Create only the group ecs and save       After creating the ecs file as mentioned in steps of Interchange creation, delete the Interchange and transactionset nodes and retain only the group ecs nodes, including both header and trailer. Save this file. 3. Use the same in B2B       These newly created ecs can be used in B2B by 2 ways.              a. By overriding at the trading partner Level:              This will be very useful when the configuration is complete and then need to incorporate the customisation. In this case, just select the Trading partner - document - select the document which need to be customised.              Upload the newly created Interchange and group ECS files under the Interchange and group tabs respectively and re-deply the associated agreement.              The advantage of this approach is              - Flexibility to add customised envelop definitions to the partners              - Save the re-work of design time effort.              b. By adding another document definition in Administration - document screen:              This scenario can be used if there is no configuration done at the trading partner level. Create the required document revision and overtide the Interchange and group ECS files under the Interchange and group tabs respectively. Add the document in Trading partner - document. Create and deploy the agreements

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• Java EE @ No Fluff Just Stuff Tour

  - by reza_rahman

  If you work in the US and still don't know what the No Fluff Just Stuff (NFJS) Tour is, you are doing yourself a very serious disfavor. NFJS is by far the cheapest and most effective way to stay up to date through some world class speakers and talks. This is most certainly true for US enterprise Java developers in particular. Following the US cultural tradition of old-fashioned roadshows, NFJS is basically a set program of speakers and topics offered at major US cities year round. Many now famous world class technology speakers can trace their humble roots to NFJS. Via NFJS you basically get to have amazing training without paying for an expensive venue, lodging or travel. The events are usually on the weekends so you don't need to even skip work if you want (a great feature for consultants on tight budgets and deadlines). I am proud to share with you that I recently joined the NFJS troupe. My hope is that this will help solve the lingering problem of effectively spreading the Java EE message here in the US. For NFJS I hope my joining will help beef up perhaps much desired Java content. In any case, simply being accepted into this legendary program is an honor I could have perhaps only dreamed of a few years ago. I am very grateful to Jay Zimmerman for seeing the value in me and the Java EE content. The current speaker line-up consists of the likes of Neal Ford, Venkat Subramaniam, Nathaniel Schutta, Tim Berglund and many other great speakers. I actually had my tour debut on April 4-5 with the NFJS New York Software Symposium - basically a short train commute away from my home office. The show is traditionally one of the smaller ones and it was not that bad for a start. I look forward to doing a few more in the coming months (more on that a bit later). I had four talks back to back (really my most favorite four at the moment). The first one was a talk on JMS 2 - some of you might already know JMS is one of my most favored Java EE APIs. The slides for the talk are posted below: What’s New in Java Message Service 2 from Reza Rahman The next talk I delivered was my Cargo Tracker/Java EE + DDD talk. This talk basically overviews DDD and describes how DDD maps to Java EE using code examples/demos from the Cargo Tracker Java EE Blue Prints project. Applied Domain-Driven Design Blue Prints for Java EE from Reza Rahman The third talk I delivered was our flagship Java EE 7/8 talk. As you may know, currently the talk is basically about Java EE 7. I'll probably slowly evolve this talk to gradually transform it into a Java EE 8 talk as we move forward (I'll blog about that separately shortly). The following is the slide deck for the talk: JavaEE.Next(): Java EE 7, 8, and Beyond from Reza Rahman My last talk for the show was my JavaScript+Java EE 7 talk. This talk is basically about aligning EE 7 with the emerging JavaScript ecosystem (specifically AngularJS). The slide deck for the talk is here: JavaScript/HTML5 Rich Clients Using Java EE 7 from Reza Rahman Unsurprisingly this talk was well-attended. The demo application code is posted on GitHub. The code should be a helpful resource if this development model is something that interests you. Do let me know if you need help with it but the instructions should be fairly self-explanatory. My next NFJS show is the Central Ohio Software Symposium in Columbus on June 6-8 (sorry for the late notice - it's been a really crazy few weeks). Here's my tour schedule so far, I'll keep you up-to-date as the tour goes forward: June 6 - 8, Columbus Ohio. June 24 - 27, Denver Colorado (UberConf) - my most extensive agenda on the tour so far. July 18 - 20, Austin Texas. I hope you'll take this opportunity to get some updates on Java EE as well as the other awesome content on the tour?

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• Always disable the 8.3 name creation on Windows before installing WebCenter Content or WebLogic Server

  - by Kevin Smith

  You should always disable the 8.3 name creation feature when installing WebCenter Content on a Windows platform. The installs will normally work without it disabled, but you will find the weird 8.3 file and directory names in all the config files. Disabling it can also improve performance. On Windows XP and Windows Server 2003 and above you can do it with this command: fsutil.exe behavior set disable8dot3 1 To make sure it is disabled you can run this command to check: fsutil.exe behavior query disable8dot3 If the 8.3 file name creation is disabled you will see the following output from the command: The registry state of NtfsDisable8dot3NameCreation is 1 (Disable 8dot3 name creation on all volumes). Here is a Microsoft note on how to do this on Windows 2000 and Windows NT. How to Disable the 8.3 Name Creation on NTFS Partitions

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• Linking to BIP reports from BIEE Analyses

  - by Tim Dexter

  Bryan found a great blog post from Fiston over on the OBIEEStuff blog. It covers the ability to link to a BIP report from a BIEE analyses report with the ability to pass parameters to it. I have doubled checked and you need to be on OBIEE 11.1.1.5 to see the 'Shared Report Link' mentioned in Fiston's post when you open a BIP report from the /analytics side of the house. Enjoy! OBIEE to BIP trick

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• Where Facebook Stands Heading Into 2013

  - by Mike Stiles

  In our last blog, we looked at how Twitter is positioned heading into 2013. Now it’s time to take a similar look at Facebook. 2012, for a time at least, seemed to be the era of Facebook-bashing. Between a far-from-smooth IPO, subsequent stock price declines, and anxiety over privacy, the top social network became a target for comedians, politicians, business journalists, and of course those who were prone to Facebook-bash even in the best of times. But amidst the “this is the end of Facebook” headlines, the company kept experimenting, kept testing, kept innovating, and pressing forward, committed as always to the user experience, while concurrently addressing monetization with greater urgency. Facebook enters 2013 with over 1 billion users around the world. Usage grew 41% in Brazil, Russia, Japan, South Korea and India in 2012. In the Middle East and North Africa, an average 21 new signups happen per minute. Engagement and time spent on the site would impress the harshest of critics. Facebook, while not bulletproof, has become such an integrated daily force in users’ lives, it’s getting hard to imagine any future mass rejection. You want to see a company recognizing weaknesses and shoring them up. Mobile was a weakness in 2012 as Facebook was one of many caught by surprise at the speed of user migration to mobile. But new mobile interfaces, better mobile ads, speed upgrades, standalone Messenger and Pages mobile apps, and the big dollar acquisition of Instagram, were a few indicators Facebook won’t play catch-up any more than it has to. As a user, the cool thing about Facebook is, it knows you. The uncool thing about Facebook is, it knows you. The company’s walking a delicate line between the public’s competing desires for customized experiences and privacy. While the company’s working to make privacy options clearer and easier, Facebook’s Paul Adams says data aggregation can move from acting on what a user is engaging with at the moment to a more holistic view of what they’re likely to want at any given time. To help learn about you, there’s Open Graph. Embedded through diverse partnerships, the idea is to surface what you’re doing and what you care about, and help you discover things via your friends’ activities. Facebook’s Director of Engineering, Mike Vernal, says building mobile social apps connected to Facebook in such ways is the next wave of big innovation. Expect to see that fostered in 2013. The Facebook site experience is always evolving. Some users like that about Facebook, others can’t wait to complain about it…on Facebook. The Facebook focal point, the News Feed, is not sacred and is seeing plenty of experimentation with the insertion of modules. From upcoming concerts, events, suggested Pages you might like, to aggregated “most shared” content from social reader apps, plenty could start popping up between those pictures of what your friends had for lunch.  As for which friends’ lunches you see, that’s a function of the mythic EdgeRank…which is also tinkered with. When Facebook changed it in September, Page admins saw reach go down and the high anxiety set in quickly. Engagement, however, held steady. The adjustment was about relevancy over reach. (And oh yeah, reach was something that could be charged for). Facebook wants users to see what they’re most likely to like, based on past usage and interactions. Adding to the “cream must rise to the top” philosophy, they’re now even trying out ordering post comments based on the engagement the comments get. Boy, it’s getting competitive out there for a social engager. Facebook has to make $$$. To do that, they must offer attractive vehicles to marketers. There are a myriad of ad units. But a key Facebook marketing concept is the Sponsored Story. It’s key because it encourages content that’s good, relevant, and performs well organically. If it is, marketing dollars can amplify it and extend its reach. Brands can expect the rollout of a search product and an ad network. That’s a big deal. It takes, as Open Graph does, the power of Facebook’s user data and carries it beyond the Facebook environment into the digital world at large. No one could target like Facebook can, and some analysts think it could double their roughly $5 billion revenue stream. As every potential revenue nook and cranny is explored, there are the users themselves. In addition to Gifts, Facebook thinks users might pay a few bucks to promote their own posts so more of their friends will see them. There’s also word classifieds could be purchased in News Feeds, though they won’t be called classifieds. And that’s where Facebook stands; a wildly popular destination, a part of our culture, with ever increasing functionalities, the biggest of big data, revenue strategies that appeal to marketers without souring the user experience, new challenges as a now public company, ongoing privacy concerns, and innovations that carry Facebook far beyond its own borders. Anyone care to write a “this is the end of Facebook” headline? @mikestilesPhoto via stock.schng

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• Keystore and Credential Store interplay in OWSM - 11g

  - by Prakash Yamuna

  One of the most common problems faced by customer's is the use of the keystore and it's interplay with the credential store.Here is a picture that describes these relationships.(Click on the picture for a larger image). The picture makes some assumptions in describing the relationship. Some of assumptions are: a) the key used for signing and encryption are the same. b) A keystore can have multiple keys and each key can have it's own alias. In the picture I show only a single key with alias "orakey". c) The keystore being described here is a JKS keystore. Things can vary slightly for other type of keystores. I hope to have a detailed How To that provides the larger picture and then shows these relationships in that context and this picture was created in the context of that How-To. However I think people will find this picture useful on a standalone basis as well. The <serviceInstance> is the entry you will find in jps-config.xml

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• How do I cut and paste commands from your blog?

  - by Maria Colgan

  At the recent ODTUG  Kscope 12 conference several people told me that they really enjoyed our blog on the Optimizer but were frustrated because they couldn’t cut and paste the commands used in the blog posts straight into their environment. Typically I use screen shots in the blog posts to make the commands clear but it does mean that it is impossible to cut and paste the commands into your environment. In order to get around this I have created a downloadable .sql script for each of our blog posts. You should now see the sentence “You can get a copy of the script I used to generate this post here”, appearing at the bottom of each blog post. Clicking on the link will open the .sql script that contains all of the commands used in the post. You can either save the entire script or just cut and paste the particular command you are interested in! I have added scripts for all of this year’s blog posts and am slowly making my way through our old posts until we have a script for everything we have posted to date. Hopefully this will help! +Maria Colgan

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• ODI y Las funciones GROUP BY, SUM, etc

  - by Edmundo Carmona

  Las bondades de ODI Pase un buen rato buscando la forma de usar la función SUM en ODI, encontré que se puede modificar el KM para agregar la función "GROUP by" y agregar una función jython en el atributo destino, pero esa solución es muy "DURA" ya que si agregamos en el futuro un nuevo atributo, tendríamos que cambiar nuevamente el KM.  Pues bien la solución es bastante más fácil, resulta que podemos agregar la función SUM, MIN, MAX, etcétera a cualquier atributo numérico y ODI automáticamente agregará la función GROUP by con el resto de los atributos. Por ejemplo. La tabla destino tiene los siguientes atributos y asignaciones (mapeos en spanglish): T1.Att1 = T2.Att1 T1.Att2 = T2.Att2 T1.Att3 = SUM(T2.Att3)  ODI crea este Quey: Select T2.Att1, T2.Att2, SUM(Att3) from Table2 T2 group by T2.Att1, T2.Att2 Listo Nada más sencillo.

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• Configuring the SOA Human Task Hostname by Antonis Antoniou

  - by JuergenKress

  When a human task is opened in BPM Workspace, it will try by default to connect to either localhost or the server's alias. So if you try to access the BPM Workspace remotely (from a computer other than where Oracle SOA is running) you will get an http error (unable to connect). You can fix this issue at run-time using the Enterprise Manager (EM). Login to EM and from the farm navigator select your composite by expanding the "SOA", "soa-infra" and your partition node. Read the complete article here. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Facebook Wiki Technorati Tags: Human task,Antonis Antoniou,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

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• links for 2010-06-14

  - by Bob Rhubart

  White Paper: Application Portfolio Rationalization: How IT Standardization Fuels Growth Co-authors Hamidou Dia and Roy Hunter describe an Enterprise Architecture approach to application portfolio rationalization. (tags: oracle otn entarch) @soatoday: Cloud & Compliance: Write a Solid Prenup "Think of your cloud contract as a prenuptial agreement," says Oracle ACE Director Jordan Braunstein. "There must be clear recourse and commitments." (tags: soa cloud oracleace entarch) @fteter: Resilience and Relationships "Take a look at your own enterprise architecture with these ideas in mind," suggests Oracle ACE Director Floyd Teter, "and see if your outlook doesn't change." (tags: entarch complexity oracleace) @lucasjellema: Calling an EJB from a SOA Composite Application using the EJB Binding based on Java Interface Oracle ACE Director Lucas Jellema illustrates the use of one of several new capabilities in Oracle SOA Suite 11g R1 Patch Set 2 (11.1.1.3.0). (tags: soa oracleace middleware soasuite oracle)

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