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• Hot Java Content

  - by Tori Wieldt

  It's August, summertime in the United States, and time for many of us to go on vacation. (You'll have to find my personal account to see more photos of the Monterey Bay Aquarium.) Here's some great Java content that you may have missed while I was gone: Blogs  Project Jigsaw: Late for the train: The Q&A JSR 355 Final Release, and moves JCP to version 2.9Oracle releases JDK for Linux ARM, JRE for Mac OS XArchitects and Architecture at JavaOne 2012Java Champions at JavaOne 2012 Podcasts & Videos Java Spotlight Episode 96: Johan Vos on Glassfish and JavaFXJava Spotlight Episode 94: Kirk Pepperdine on Java Performance TuningJava Spotlight Episode 93: Jonathan Giles on JavaFX 2.2 UI ControlsVideo: JavaFX Canvas Node July/August Java Magazine (free subscription) Developer Power: Web-based Development ToolsFork/Join Framework for Client Java ApplicationsIntro to Web Service SecurityHow to Modify javacOracle's Berkeley DB Java Edition's Java API and more. Java Magazine is available on the App Store and the Android Market. Get all this great Java content while it's as hot as a North American (non-San Franciscian) summer. 

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• Master Data Management Implementation Styles

  - by david.butler(at)oracle.com

  In any Master Data Management solution deployment, one of the key decisions to be made is the choice of the MDM architecture. Gartner and other analysts describe some different Hub deployment styles, which must be supported by a best of breed MDM solution in order to guarantee the success of the deployment project.   Registry Style: In a Registry Style MDM Hub, the various source systems publish their data and a subscribing Hub stores only the source system IDs, the Foreign Keys (record IDs on source systems) and the key data values needed for matching. The Hub runs the cleansing and matching algorithms and assigns unique global identifiers to the matched records, but does not send any data back to the source systems. The Registry Style MDM Hub uses data federation capabilities to build the "virtual" golden view of the master entity from the connected systems.   Consolidation Style: The Consolidation Style MDM Hub has a physically instantiated, "golden" record stored in the central Hub. The authoring of the data remains distributed across the spoke systems and the master data can be updated based on events, but is not guaranteed to be up to date. The master data in this case is usually not used for transactions, but rather supports reporting; however, it can also be used for reference operationally.   Coexistence Style: The Coexistence Style MDM Hub involves master data that's authored and stored in numerous spoke systems, but includes a physically instantiated golden record in the central Hub and harmonized master data across the application portfolio. The golden record is constructed in the same manner as in the consolidation style, and, in the operational world, Consolidation Style MDM Hubs often evolve into the Coexistence Style. The key difference is that in this architectural style the master data stored in the central MDM system is selectively published out to the subscribing spoke systems.   Transaction Style: In this architecture, the Hub stores, enhances and maintains all the relevant (master) data attributes. It becomes the authoritative source of truth and publishes this valuable information back to the respective source systems. The Hub publishes and writes back the various data elements to the source systems after the linking, cleansing, matching and enriching algorithms have done their work. Upstream, transactional applications can read master data from the MDM Hub, and, potentially, all spoke systems subscribe to updates published from the central system in a form of harmonization. The Hub needs to support merging of master records. Security and visibility policies at the data attribute level need to be supported by the Transaction Style hub, as well.   Adaptive Transaction Style: This is similar to the Transaction Style, but additionally provides the capability to respond to diverse information and process requests across the enterprise. This style emerged most recently to address the limitations of the above approaches. With the Adaptive Transaction Style, the Hub is built as a platform for consolidating data from disparate third party and internal sources and for serving unified master entity views to operational applications, analytical systems or both. This approach delivers a real-time Hub that has a reliable, persistent foundation of master reference and relationship data, along with all the history and lineage of data changes needed for audit and compliance tracking. On top of this persistent master data foundation, the Hub can dynamically aggregate transaction data on demand from different source systems to deliver the unified golden view to downstream systems. Data can also be accessed through batch interfaces, published to a message bus or served through a real-time services layer. New data sources can be readily added in this approach by extending the data model and by configuring the new source mappings and the survivorship rules, meaning that all legacy data hubs can be leveraged to contribute their records/rules into the new transaction hub. Finally, through rich user interfaces for data stewardship, it allows exception handling by business analysts to keep it current with business rules/practices while maintaining the reliability of best-of-breed master records.   Confederation Style: In this architectural style, several Hubs are maintained at departmental and/or agency and/or territorial level, and each of them are connected to the other Hubs either directly or via a central Super-Hub. Each Domain level Hub can be implemented using any of the previously described styles, but normally the Central Super-Hub is a Registry Style one. This is particularly important for Public Sector organizations, where most of the time it is practically or legally impossible to store in a single central hub all the relevant constituent information from all departments.   Oracle MDM Solutions can be deployed according to any of the above MDM architectural styles, and have been specifically designed to fully support the Transaction and Adaptive Transaction styles. Oracle MDM Solutions provide strong data federation and integration capabilities which are key to enabling the use of the Confederated Hub as a possible architectural style approach. Don't lock yourself into a solution that cannot evolve with your needs. With Oracle's support for any type of deployment architecture, its ability to leverage the outstanding capabilities of the Oracle technology stack, and its open interfaces for non-Oracle technology stacks, Oracle MDM Solutions provide a low TCO and a quick ROI by enabling a phased implementation strategy.

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• Using Exception Handler in an ADF Task Flow

  - by anmprs

  Problem Statement: Exception thrown in a task flow gets wrapped in an exception that gives an unintelligible error message to the user. Figure 1 Solution 1. Over-writing the error message with a user-friendly error message. Figure 2 Steps to code 1. Generating an exception: Write a method that throws an exception and drop it in the task flow.2. Adding an Exception Handler: Write a method (example below) to overwrite the Error in the bean or data control and drop the method in the task flow. Figure 3 This method is marked as the Exception Handler by Right-Click on method > Mark Activity> Exception Handler or by the button that is displayed in this screenshot Figure 4 The Final task flow should look like this. This will overwrite the exception with the error message in figure 2. Note: There is no need for a control flow between the two method calls (as shown below). Figure 5 Solution 2: Re-Routing the task flow to display an error page Figure 6 Steps to code 1. This is the same as step 1 of solution 1.2. Adding an Exception Handler: The Exception handler is not always a method; in this case it is implemented on a task flow return.  The task flow looks like this. Figure 7 In the figure below you will notice that the task flow return points to a control flow ‘error’ in the calling task flow. Figure 8 This control flow in turn goes to a view ‘error.jsff’ which contains the error message that one wishes to display.  This can be seen in the figure below. (‘withErrorHandling’ is a  call to the task flow in figure 7) Figure 9

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• Content Challenge: You Can Only Get it Here

  - by Mike Stiles

  Part of the content conundrum for brands is figuring out what kind of content customers would find cool, desirable, and relevant. The mere fact many brands have no idea what this content might be is, in itself, pretty alarming. You’d have to have a pretty thorough lack of involvement with and understanding of your customers to not know what they might like. But despite what should be a great awakening in which consumers are using every technology and trick in the book to shield themselves from ads and commercials, brand self-obsession continues as marketers concentrate on their message, their campaign, what they want to say, and what they want social users to do. When individuals conduct themselves in that same fashion on Facebook and Twitter, it gets tiresome and starts losing value pretty quickly. Their posts eventually get hidden. Conversely, friends who post things that consistently entertain or inform, with little self-marketing desperation involved, win the coveted “show all updates” setting. Of course brands are going to use social to market. It’s pretty much the point of having social in the marketing mix. And yes, people who follow a brand’s Twitter account or “Like” a brand’s Facebook Page implicitly state they want to know what’s going on with that brand’s products and services. But if you have a Facebook friend that assumes you want every one of her posts to be about what wine she likes (Mitsubishi’s current campaign is even based around weeding out pretentious Facebook friends, then running them over), then you know how it must feel for your fans and followers to get a sales pitch for your crackers or whatever you’re selling every single time. Is there such a thing as content that doesn’t sell but that still advances the brand and makes the consumer more involved and valuable? Of course. And perhaps there are no better companies than enterprise brands to do it. Enterprise organizations are large enough to go beyond a product and engage readers/viewers at higher, broader levels…communicating expertise across entire sectors, subjects and industries. You’re going from pitchman to news source, and getting full credit for it as the presenter. A recent GigaOM article pointed out the success a San Francisco-based startup called Crunchyroll is having. Their niche (and they proudly admit it’s a niche) is providing Japanese anime, Korean drama and Asian live action content to countries that can’t get it any other way via licensing deals. Shows are available in HD and on the same day they air in the host country. Crunchyroll not only gets 8 million viewers a month, they have 100,000 paying subscribers at $7-12/month. Got a point, Mike? I do happen to have one. Crunchyroll illustrates the content opportunity enterprise companies have…which is to determine your “area,” the interest graph of your customers, then provide content that speaks to and satisfies those interests that can’t be found anywhere else. At least not in the same style, or of the same quality, or with the same authority. Do what no one else is doing. Provide what no one else is providing in your sector. If underserved users are willing to pay monthly for access to awkwardly moving cartoon dragons, imagine the audience you could attract with free, useful, non-sales content in your customers’ area of interest. It’s an audience you’ll want in place when the time does come to put out that marketing message. A content challenge is better than a content conundrum any day.

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• Entity Framework 4.3.1 Code based Migrations and Connector/Net 6.6

  - by GABMARTINEZ

   Code-based migrations is a new feature as part of the Connector/Net support for Entity Framework 4.3.1. In this tutorial we'll see how we can use it so we can keep track of the changes done to our database creating a new application using the code first approach. If you don't have a clear idea about how code first works we highly recommend you to check this subject before going further with this tutorial. Creating our Model and Database with Code First  From VS 2010  1. Create a new console application 2.  Add the latest Entity Framework official package using Package Manager Console (Tools Menu, then Library Package Manager -> Package Manager Console). In the Package Manager Console we have to type  Install-Package EntityFramework This will add the latest version of this library.  We will also need to make some changes to your config file. A <configSections> was added which contains the version you have from EntityFramework.  An <entityFramework> section was also added where you can set up some initialization. This section is optional and by default is generated to use SQL Express. Since we don't need it for now (we'll see more about it below) let's leave this section empty as shown below. 3. Create a new Model with a simple entity. 4. Enable Migrations to generate the our Configuration class. In the Package Manager Console we have to type  Enable-Migrations; This will make some changes in our application. It will create a new folder called Migrations where all the migrations representing the changes we do to our model.  It will also create a Configuration class that we'll be using to initialize our SQL Generator and some other values like if we want to enable Automatic Migrations.  You can see that it already has the name of our DbContext. You can also create you Configuration class manually. 5. Specify our Model Provider. We need to specify in our Class Configuration that we'll be using MySQLClient since this is not part of the generated code. Also please make sure you have added the MySql.Data and the MySql.Data.Entity references to your project. using MySql.Data.Entity;   // Add the MySQL.Data.Entity namespace public Configuration() { this.AutomaticMigrationsEnabled = false; SetSqlGenerator("MySql.Data.MySqlClient", new MySql.Data.Entity.MySqlMigrationSqlGenerator());    // This will add our MySQLClient as SQL Generator } 6. Add our Data Provider and set up our connection string <connectionStrings> <add name="PersonalContext" connectionString="server=localhost;User Id=root;database=Personal;" providerName="MySql.Data.MySqlClient" /> </connectionStrings> <system.data> <DbProviderFactories> <remove invariant="MySql.Data.MySqlClient" /> <add name="MySQL Data Provider" invariant="MySql.Data.MySqlClient" description=".Net Framework Data Provider for MySQL" type="MySql.Data.MySqlClient.MySqlClientFactory, MySql.Data, Version=6.6.2.0, Culture=neutral, PublicKeyToken=c5687fc88969c44d" /> </DbProviderFactories> </system.data> * The version recommended to use of Connector/Net is 6.6.2 or earlier. At this point we can create our database and then start working with Migrations. So let's do some data access so our database get's created. You can run your application and you'll get your database Personal as specified in our config file. Add our first migration Migrations are a great resource as we can have a record for all the changes done and will generate the MySQL statements required to apply these changes to the database. Let's add a new property to our Person class public string Email { get; set; } If you try to run your application it will throw an exception saying  The model backing the 'PersonelContext' context has changed since the database was created. Consider using Code First Migrations to update the database (http://go.microsoft.com/fwlink/?LinkId=238269). So as suggested let's add our first migration for this change. In the Package Manager Console let's type Add-Migration AddEmailColumn Now we have the corresponding class which generate the necessary operations to update our database. namespace MigrationsFromScratch.Migrations { using System.Data.Entity.Migrations; public partial class AddEmailColumn : DbMigration { public override void Up(){ AddColumn("People", "Email", c => c.String(unicode: false)); } public override void Down() { DropColumn("People", "Email"); } } } In the Package Manager Console let's type Update-Database Now you can check your database to see all changes were succesfully applied. Now let's add a second change and generate our second migration public class Person   {       [Key]       public int PersonId { get; set;}       public string Name { get; set; }       public string Address {get; set;}       public string Email { get; set; }       public List<Skill> Skills { get; set; }   }   public class Skill   {     [Key]     public int SkillId { get; set; }     public string Description { get; set; }   }   public class PersonelContext : DbContext   {     public DbSet<Person> Persons { get; set; }     public DbSet<Skill> Skills { get; set; }   } If you would like to customize any part of this code you can do that at this step. You can see there is the up method which can update your database and the down that can revert the changes done. If you customize any code you should make sure to customize in both methods. Now let's apply this change. Update-database -verbose I added the verbose flag so you can see all the SQL generated statements to be run. Downgrading changes So far we have always upgraded to the latest migration, but there may be times when you want downgrade to a specific migration. Let's say we want to return to the status we have before our last migration. We can use the -TargetMigration option to specify the migration we'd like to return. Also you can use the -verbose flag. If you like to go  back to the Initial state you can do: Update-Database -TargetMigration:$InitialDatabase  or equivalent: Update-Database -TargetMigration:0  Migrations doesn't allow by default a migration that would ocurr in a data loss. One case when you can got this message is for example in a DropColumn operation. You can override this configuration by setting AutomaticMigrationDataLossAllowed to true in the configuration class. Also you can set your Database Initializer in case you want that these Migrations can be applied automatically and you don't have to go all the way through creating a migration and updating later the changes. Let's see how. Database Initialization by Code We can specify an initialization strategy by using Database.SetInitializer (http://msdn.microsoft.com/en-us/library/gg679461(v=vs.103)). One of the strategies that I found very useful when you are at a development stage (I mean not for production) is the MigrateDatabaseToLatestVersion. This strategy will make all the necessary migrations each time there is a change in our model that needs a database replication, this also implies that we have to enable AutomaticMigrationsEnabled flag in our Configuration class. public Configuration()         {             AutomaticMigrationsEnabled = true;             AutomaticMigrationDataLossAllowed = true;             SetSqlGenerator("MySql.Data.MySqlClient", new MySql.Data.Entity.MySqlMigrationSqlGenerator());    // This will add our MySQLClient as SQL Generator          } In the new EntityFramework section of your Config file we can set this at a context level basis.  The syntax is as follows: <contexts> <context type="Custom DbContext name, Assembly name"> <databaseInitializer type="System.Data.Entity.MigrateDatabaseToLatestVersion`2[[ Custom DbContext name, Assembly name],  [Configuration class name, Assembly name]],  EntityFramework" /> </context> </contexts> In our example this would be: The syntax is kind of odd but very convenient. This way all changes will always be applied when we do any data access in our application. There are a lot of new things to explore in EF 4.3.1 and Migrations so we'll continue writing some more posts about it. Please let us know if you have any questions or comments, also please check our forums here where we keep answering questions in general for the community.  Hope you found this information useful. Happy MySQL/.Net Coding! 

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• Tuxedo Load Balancing

  - by Todd Little

  A question I often receive is how does Tuxedo perform load balancing.  This is often asked by customers that see an imbalance in the number of requests handled by servers offering a specific service. First of all let me say that Tuxedo really does load or request optimization instead of load balancing.  What I mean by that is that Tuxedo doesn't attempt to ensure that all servers offering a specific service get the same number of requests, but instead attempts to ensure that requests are processed in the least amount of time.   Simple round robin "load balancing" can be employed to ensure that all servers for a particular service are given the same number of requests.  But the question I ask is, "to what benefit"?  Instead Tuxedo scans the queues (which may or may not correspond to servers based upon SSSQ - Single Server Single Queue or MSSQ - Multiple Server Single Queue) to determine on which queue a request should be placed.  The scan is always performed in the same order and during the scan if a queue is empty the request is immediately placed on that queue and request routing is done.  However, should all the queues be busy, meaning that requests are currently being processed, Tuxedo chooses the queue with the least amount of "work" queued to it where work is the sum of all the requests queued weighted by their "load" value as defined in the UBBCONFIG file.  What this means is that under light loads, only the first few queues (servers) process all the requests as an empty queue is often found before reaching the end of the scan.  Thus the first few servers in the queue handle most of the requests.  While this sounds non-optimal, in fact it capitalizes on the underlying operating systems and hardware behavior to produce the best possible performance.  Round Robin scheduling would spread the requests across all the available servers and thus require all of them to be in memory, and likely not share much in the way of hardware or memory caches.  Tuxedo's system maximizes the various caches and thus optimizes overall performance.  Hopefully this makes sense and now explains why you may see a few servers handling most of the requests.  Under heavy load, meaning enough load to keep all servers that can handle a request busy, you should see a relatively equal number of requests processed.  Next post I'll try and cover how this applies to servers in a clustered (MP) environment because the load balancing there is a little more complicated. Regards,Todd LittleOracle Tuxedo Chief Architect

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• Whats after the iPAD?? check out the new Augmented Reality Glasses

  - by Stephen Slade

  Everyone loves their new iPad! The rich features, portability, plethora of apps and ease of use make this the new clipboard on the factory floor or electronic notebook for meetings. But how many business people walk into an hours meeting and really start typing notes on their PC?..yes some do, but for the general business public there are new technologies coming down the road. The iPad is the latest holla-hoop; and the next gen device I feel is the Augmented Reality Glasses. Your glasses will be your screen, have an earpiece, be wireless enabled, your smart watch be your electronics and maybe your belt can be an extended battery pack.  I'm anxious to test one of these. The TELEGRAPH writes:  "Android software is believed to power the gadget, enabling similar features to its smartphone and tablets. A 3G /4G data connection, motion sensors and GPS navigation are believed to be included in the device's capabilities. The augmented-reality glasses are the culmination of a two-year initiative called Project Glass, developed in the clandestine Google X lab, ..in Mountain View, ...The New York Times suggested they could cost between $250-$500 " http://www.telegraph.co.uk/technology/news/9187547/Google-unveils-augmented-reality-glasses.html

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• Can Near Field Communications (NFC) Benefit your Supply Chain?

  - by Stephen Slade

  Leading firms continue to leverage the latest tools and technologies to drive performance especially around minimizing transaction costs. With razor thin margins in manufacturing and distribution, the leading producers are resorting to Near Field Communications to gain efficiencies.  In this week’s CIO magazine (Apr1, 2012, pg.30, see http://www.cio.com)  Lauren Brousell talks of the things you need to know to make a more informed decision with NFC.  Sandy Shen of Gartner says NFC appeals because "it supports any services that requires data transfer and authentication' 1. NFC is Cheap and Easy - short range transmitting technology connecting smartphones to data transfer. 2. Adoption Seems Inevitable - more merchants will use NCF for payments in the futures. Wallets are becoming obsolete. 3. It's a Hot Potato for Enterprise - Business with credit card companies and cell phone providers are debating who handles the billing process. 4. It's in use Overseas. Japan uses FeliCa to pay by smartphone. In the US, billing agreements are causing territorial conflict. 5. Security Risks Come Standard. As people lose HH devices, security will be an ongoing concern. Credentials and timeout features and alleviate to some extent. My prediction: In 5 years, we won't have wallets in our pockets.  Our secure and all-powerful smart phones will be our electronic portable banks and execute the transaction for us based on our preferences and propensities and electronically execute the transaction for the supply chain.

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• Need a Holistic view of your Concurrent Processing?

  - by cwarticki

  Need a Holistic view of your Concurrent Processing? Choose CP AnalyzerGo to Doc 1411723.1 for more details and script download. The Concurrent Processing Analyzer is a Self-Service Health-Check script which reviews the overall Concurrent Processing Footprint, analyzes the current configurations and settings for the environment providing feedback and recommendations on Best Practices. This is a non-invasive script which provides recommended actions to be performed on the instance it was run on.  For production instances, always apply any changes to a recent clone to ensure an expected outcome. E-Business Applications Concurrent Processing Analyzer Overview E-Business Applications Concurrent Request Analysis E-Business Applications Concurrent Manager Analysis Identifies Concurrent System Setup and configurations Identifies and recommends Concurrent Best Practices Easy to add Tool for regular Concurrent Maintenance Execute Analysis anytime to compare trending from past outputs Feedback welcome!

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• Why Ultra-Low Power Computing Will Change Everything

  - by Tori Wieldt

  The ARM TechCon keynote "Why Ultra-Low Power Computing Will Change Everything" was anything but low-powered. The speaker, Dr. Johnathan Koomey, knows his subject: he is a Consulting Professor at Stanford University, worked for more than two decades at Lawrence Berkeley National Laboratory, and has been a visiting professor at Stanford University, Yale University, and UC Berkeley's Energy and Resources Group. His current focus is creating a standard (computations per kilowatt hour) and measuring computer energy consumption over time. The trends are impressive: energy consumption has halved every 1.5 years for the last 60 years. Battery life has made roughly a 10x improvement each decade since 1960. It's these improvements that have made laptops and cell phones possible. What does the future hold? Dr. Koomey said that in the past, the race by chip manufacturers was to create the fastest computer, but the priorities have now changed. New computers are tiny, smart, connected and cheap. "You can't underestimate the importance of a shift in industry focus from raw performance to power efficiency for mobile devices," he said. There is also a confluence of trends in computing, communications, sensors, and controls. The challenge is how to reduce the power requirements for these tiny devices. Alternate sources of power that are being explored are light, heat, motion, and even blood sugar. The University of Michigan has produced a miniature sensor that harnesses solar energy and could last for years without needing to be replaced. Also, the University of Washington has created a sensor that scavenges power from existing radio and TV signals.Specific devices designed for a purpose are much more efficient than general purpose computers. With all these sensors, instead of big data, developers should focus on nano-data, personalized information that will adjust the lights in a room, a machine, a variable sign, etc.Dr. Koomey showed some examples:The Proteus Digital Health Feedback System, an ingestible sensor that transmits when a patient has taken their medicine and is powered by their stomach juices. (Gives "powered by you" a whole new meaning!) Streetline Parking Systems, that provide real-time data about available parking spaces. The information can be sent to your phone or update parking signs around the city to point to areas with available spaces. Less driving around looking for parking spaces!The BigBelly trash system that uses solar power, compacts trash, and sends a text message when it is full. This dramatically reduces the number of times a truck has to come to pick up trash, freeing up resources and slashing fuel costs. This is a classic example of the efficiency of moving "bits not atoms." But researchers are approaching the physical limits of sensors, Dr. Kommey explained. With the current rate of technology improvement, they'll reach the three-atom transistor by 2041. Once they hit that wall, it will force a revolution they way we do computing. But wait, researchers at Purdue University and the University of New South Wales are both working on a reliable one-atom transistors! Other researchers are working on "approximate computing" that will reduce computing requirements drastically. So it's unclear where the wall actually is. In the meantime, as Dr. Koomey promised, ultra-low power computing will change everything.

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• No NFC for the iPhone, and here's why

  - by David Dorf

  I, like many others in the retail industry, was hoping the iPhone 5 would include an NFC chip that enabled a mobile wallet.  In previous postings I've discussed the possible business case and the foreshadowing of Passbook, but it wasn't meant to be.  A few weeks ago I was considering all the rumors, and it suddenly occurred to me that it wasn't in Apple's best interest to support an NFC chip.  Yes they have patents in this area, but perhaps they are more defensive than indicating new development. Steve Jobs wanted to always win, but more importantly he didn't want others to win at his expense.  It drove him nuts that Windows was more successful than MacOS, and clearly he was bothered by Samsung and other handset manufacturers copying the iPhone.  But he was most angry at Google for their stewardship of Android. If the iPhone 5 had an NFC chip, who would benefit most?  Google Wallet is far and away the leader in NFC-based payments via mobile phones in the US.  Even without Steve at the helm, Apple isn't going to do anything to help Google.  Plus Apple doesn't like to do things in an open way -- then they lose control.  For example, you don't see iPhones with expandable memory, replaceable batteries, or USB connectors.  Adding a standards-based NFC chip just isn't in their nature. So I don't think Apple is holding back on the NFC chip for the 5S or 6.  It just isn't going to happen unless they can figure out how to prevent others from benefiting from it. All the other handset manufacturers will use NFC as a differentiator, which may be enough to keep Google and Isis afloat, and of course Square and PayPal aren't betting on NFC anyway.  This isn't the end of alternative payments, its just a major speed bump.

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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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• Solaris 11 Live CD alapú telepítés

  - by AndrasF

  Az elozo részben megigért két telepítési eljárás helyett kénytelen vagyok ebben a bejegyzésben kizárólag a Live CD-s változattal foglalkozni. Korábban nem gondoltam, hogy ennek bemutatása is több, mint 50 képernyo kimenetet igényel, ezért változtatnom kellett a korábbi tervezeten. A Solaris 11 Live CD-s telepítés elsosorban az asztali (desktop) felhasználók igényeit veszi figyelembe és kizárólag x86-os architektúrájú gépeken támogatott (annak ellenére, hogy SPARC-os rendszerek is rendelkeznek grafikus kártyával - pl. T4-1).A folyamat két részre bontható: eloször a vendéggép kerül kialakítása VirtualBox környezetben, majd ezt követi a Solaris 11-es telepítése virtuális gépre. HCL és segédprogramok (DDT, DDU) Mielott telepíteni szeretnénk a Solaris operációs rendszert, célszeru tájékozódni fizikai rendszerünk támogatottságáról. Erre jól használható a már említett hardver kompatibilitási (HCL) lista, vagy az alábbi két segédprogram: Device Detection Tool Device Driver Utility Mindkét alkalmazás képes rendszerünk hardver komponenseit feltérképezni és ellenorizni azok meghajtóprogram (driver) ellátottságát. Eltérés köztük abban nyilvánul meg, hogy míg a DDT futtatásához Java szükséges, addig a DDU Solarist igényel. Ez utóbbiról a telepítés során röviden szó fog esni. Telepíto készletek letöltési helye Hálózati installációtól eltekintve (*) telepítokészletre van szükségünk, mely az alábbi oldalról töltheto le. Célszeru letöltenünk mindhárom állományt és a csomagokat tartalmazó ún. repository médiát (a következo felsorolás utolsó eleme) is: sol-11-1111-live-x86.iso sol-11-1111-text-x86.iso sol-11-1111-ai-x86.iso sol-11-1111-repo-full.iso Az elso három változat indítható USB formátumban is rendelkezésre áll - ekkor iso végzodés helyett usb található a fájlnevek végén. Rövid utalást az egyes készletek feladatáról az elozo blog bejegyzés tartalmaz (link). Amennyiben SPARC architektúrájú rendszerre szeretnénk a telepítést végezni, 'x86' helyett a 'sparc' szöveget tartalmazó állományokra lesz szükség. (*) - arra is lehetoség van, hogy AI készletrol történo indítás segítségével végezzük a hálózaton keresztül történo telepítést. Ez akkor fontos, ha célgépünkön nincs PXE (Preboot Execution Environment) boot támogatás. VirtualBox konfigurálás Külön fizikai eszköz felhasználása nélkül virtuális környezetben is használható a Solaris 11, mint vendéggép. A VirtualBox használatával erre kényelmes lehetoség kínálkozik. Gazdagépünknek (Windows, Unix, Linux) megfelelo telepíto program, vagy programcsomag (jelenleg a 4.1.16-os verzió a legfrissebb változat) és az installációt is taglaló felhasználói kézikönyv letöltheto a termék oldaláról. A sikeres telepítést követoen az alábbi lépések során jutunk el az új virtuális gép kialakulásáig: 1. A VBox indítása után a központi ablak megmutatja a már létezo virtuális gépeinket (Sol11demo, Sol11u1b07, Sol11.1B16, Sun_ZFS_Storage_7000) és az aktuálisan kiválasztott egyed (Sol11demo) fobb jellemzoit (megnevezés, memória mérete, virtuális tároló eszközök listája...stb.) 2. A New gombra kattintva elindul a virtuális gépet létrehozó segéd (wizard) 3. Ezt követoen nevet kell adnunk a vendéggépnek és ki kell választanunk az operációs rendszer típusát (beszédes név használata esetén a VirtualBox képes az operációs rendszer családját kiválasztani, nekünk pusztán csak verziót kell beállítanunk): adjuk meg Solaris11-et névként és válasszuk a 64bites változatot (feltéve, hogy gazdagépünk támogatja ezt) 4. Telepítéshez és a kezdeti lépések megtételéhez 1536MB memória tökéletesen megfelel (ez késobb módosítható az elvárások függvényében) 5. Fizikai társaihoz hasonlóan, egyetlen virtuális gép sem létezhet merevlemez (jelen esetben virtuális diszk) nélkül. Használhatunk egy már létezo területet (virtuális lemezt tartalmazó állomány), de létrehozhatunk egy nekünk tetszo új példányt is. Maradjunk ez utóbbinál (Create new hard disk)! 6. A lehetséges formátumok közül - az egyszeruség okán - éljünk a felkínált alaptípussal (VDI - VirtualBox Disk Image). 7. Létrehozás során a virtuális lemez készülhet egyidejuleg (Fixed size), vagy több lépésben dinamikusan (Dynamically allocated). Az elso változat sokkal kevésbé terheli a rendszert, a második elonye pedig a helytakarékosság. Válasszuk a fix méretu változatot. 8. Most már csak egyetlen adat ismeretlen a VirtualBox számára, mégpedig a létrehozásra kerülo virtuális lemez nagysága. 8GB-os terület jelen esetben alkalmas az ismerkedés elkezdéséhez. 9. Amennyiben minden beállítást helyesen adtunk meg, a Create gomb megnyomása után elindul a virtuális lemez létrehozása. 10. Ez a muvelet a megadott adatoktól függoen néhány perc alatt befejezodik. 11. Hasonló megerosítés (Create gomb aktiválása) után elkezdodik a kért virtuális gép létrehozása is. 12. Sikeres végrehajtás után az új vitruális gép közvetlenül megjelenik a központi ablak baloldali listáján a rendelkezésre álló virtuális gépek közt. A blog bejegyzés folyamatosan frissül...a rész fennmaradó tartalma hamarosan felkerül az oldalra.

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• Difference between EJB Persist & Merge operation

  - by shantala.sankeshwar

  This article gives the difference between EJB Persist & Merge operations with scenarios.Use Case Description Users working on EJB persist & merge operations often have this question in mind " When merge can create new entity as well as modify existing entity,then why do we have 2 separate operations - persist & merge?" The reason is very simple.If we use merge operation to create new entity & if the entity exists then it does not throw any exception,but persist throws exception if the entity already exists.Merge should be used to modify the existing entity.The sql statement that gets executed on persist operation is insert statement.But in case of merge first select statement gets executed & then update sql statement gets executed.Scenario 1: Persist operation to create new Emp recordLet us suppose that we have a Java EE Web Application created with Entities from Emp table & have created session bean with data control. Drop Emp Object(Expand SessionEJBLocal->Constructors under Data Controls) as ADF Parameter form in jspx pageDrop persistEmp(Emp) as ADF CommandButton & provide #{bindings.EmpIterator.currentRow.dataProvider} as the value for emp parameter.Then run this page & provide values for Emp,click on 'persistEmp' button.New Emp record gets created.So when we execute persist operation only insert sql statement gets executed :INSERT INTO EMP (EMPNO, COMM, HIREDATE, ENAME, JOB, DEPTNO, SAL, MGR) VALUES (?, ?, ?, ?, ?, ?, ?, ?)    bind => [2, null, null, e2, null, 10, null, null]Scenario 2: Merge operation to modify existing Emp recordLet us suppose that we have a Java EE Web Application created with Entities from Emp table & have created session bean with data control.Drop empFindAll() Object as ADF form on jspx page.Drop mergeEmp(Emp) operation as commandButton & provide #{bindings.EmpIterator.currentRow.dataProvider} as the value for emp parameter.Then run this page & modify values for Emp record,click on 'mergeEmp' button.The respective Emp record gets modified.So when we execute merge operation select & update sql statements gets executed :SELECT EMPNO, COMM, HIREDATE, ENAME, JOB, DEPTNO, SAL, MGR FROM EMP WHERE (EMPNO = ?) bind => [7566]UPDATE EMP SET ENAME = ? WHERE (EMPNO = ?) bind => [KINGS, 7839]

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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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• 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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• 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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• 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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• 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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• Are you ready for the needed changes to your Supply Chain for 2013?

  - by Stephen Slade

  With the initiation of the Dodd-Frank Act, companies need to determine if their products contain 'conflict materials' from certain global markets as the Rep of Congo. The materials include metals such as gold, tin, tungsten and tantalum. Compaines with global sourcing face new disclosure requirements in Feb'13 related to business being done in Iran. Public companies are required to disclose to U.S. security regulators if they or their affiliates are engaged in business in Iran either directly or indirectly.  Is your supply chain compliant?  Do you have sourcing reports to validate?  Where are the materials in your chips & circuit boards coming from? In the next few weeks, responsible companies will be scrutinizing their supply chains, subs, JVs, and affiliates to search for exposure. Source: Brian Lane, Atty at Gibson Dunn Crutcher, as printed in the WSJ Tues, Dec 11, 2012 p.B8

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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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• 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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• Webcast: Applications Integration Architecture

  - by LuciaC

  Webcast: Applications Integration Architecture - Overview and Best Practices Date:  November 12, 2013.Join us for an Overview and Best Practices live webcast on Applications Integration Architecture (AIA). We are covering following topics in this Webcast : AIA Overview AIA - Where it Stands Pre-Install, Pre-Upgrade Concerns Understanding Dependency Certification Matrix Documentation Information Center Demonstration - How to evaluate certified combination Software Download/Installable Demonstration - edelivery Download Overview Reference Information Q & A (15 Minutes)  We will be holding 2 separate sessions to accommodate different timezones: EMEA / APAC - timezone Session : Tuesday, 12-NOV-2013 at 09:00 UK / 10:00 CET / 14:30 India / 18:00 Japan / 20:00 AEDT Details & Registration : Doc ID 1590146.1 Direct registration link USA - timezone Session : Wednesday, 13-NOV-2013 at 18:00 UK / 19:00 CET / 10:00 PST / 11:00 MST / 13:00 EST Details & Registration : Doc ID 1590147.1 Direct registration link If you have any question about the schedules or if you have a suggestion for an Advisor Webcast to be planned in future, please send an E-Mail to Ruediger Ziegler. Remember that you can access a full listing of all future webcasts as well as replays from Doc ID 740966.1.

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• Workshop in Denver canceled - thanks to hurricane Isaac

  - by Mike Dietrich

  Yesterday Roy did start his journey on time to travel to Denver, CO for today's Upgrade and Migration Workshop.  But unfortunately due to the remnants of  hurricane Issac moving up the East Coast and scrambling up flight schedules Roy's flight from NYC to Denver got canceled after a 3 hour delay leaving Manchester, NH, and there was no option to arrive in Denver this morning on time. So we apologize for canceling that workshop. The local marketing department will contact you regarding an alternative date. Sorry for any inconvenience!

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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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