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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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  • 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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  • 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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  • 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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  • 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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  • 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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  • Building a Store Locator ASP.NET Application Using Google Maps API (Part 1)

    Over the past couple of months I've been working on a couple of projects that have used the free <a href="http://code.google.com/apis/maps/">Google Maps API</a> to add interactive maps and <a href="http://en.wikipedia.org/wiki/Geocoding">geocoding</a> capabilities to ASP.NET websites. In a nutshell, the Google Maps API allow you to display maps on your website, to add markers onto the map, and to compute the latitude and longitude of an address, among many other tasks.With some Google Maps API experience under my belt, I decided it would be fun to implement a store locator feature and share it here on 4Guys. A store locator lets a visitor enter an address or postal code and then shows the nearby stores. Typically, store locators display the

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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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  • 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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  • To access parentAM instance from within nestedAM JUnit test class

    - by Abhishek Dwivedi
    In normal model project, the way to access parent AM from within nested AM is simple - ParentAMImpl parentAM =  (ParentAMImpl)this.getRootApplicationModule(); However, the same approach doesn't help in JUnit model project. Use the following approach -  Inside setUp() method --  ParentAM parentAM =  (ParentAM)Configuration.createRootApplicationModule(ROOT_AM, ROOT_AM_CONFIG); Inside tearDown() method -- Configuration.releaseRootApplicationModule(parentAM, true);

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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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  • Goodbye FY14, Welcome FY15!

    - by Alliances & Channels Redaktion
    FY14, ein spannendes Geschäftsjahr liegt gerade hinter uns. Das ist immer auch ein Anlass, um Bilanz zu ziehen. Lassen wir also gemeinsam 12 ereignisreiche Monate Revue passieren! Beim Blick auf die Ereignisse des FY14 stehen natürlich Sie, unsere Partner, an allererster Stelle, denn Sie leisten einen ungeheuer wichtigen Beitrag zum Erfolg von Oracle. Dafür möchte ich Ihnen heute im Namen von Oracle A&C ganz herzlich danken! Von all den Events und Highlights im Partnerbereich war die Oracle Open World auch in FY14 schon allein quantitativ das Beeindruckendste: 60.000 Besucherinnen und Besucher aus 145 Ländern, 2.555 Sessions und 3.599 Speaker. Die angereisten Partner kamen in San Francisco zum Oracle PartnerNetwork Exchange zusammen. Dort tauschten sie sich über aktuelle Fragen zu Applications, Cloud, Engineered Systems, Big Data sowie Industry Solutions aus – Themen die uns auch in FY15 sicher bewegen werden! FY14 war bei Oracle auch das Jahr der Datenbank-Offensive: Auf der Open World wurde die neue In-Memory-Option für Datenbanken präsentiert, das Schlagwort Datenbank-Tuning machte die Runde. Als Meilenstein gilt vor allem die enorme Beschleunigung, die mit Version 12.1.0.1 der Oracle Database 12c möglich wird. Diese und weitere Innovationen sorgten für viel positives Presseecho. Im Januar 2014 kamen die Partner aus ganz Deutschland nach München zum Oracle Partner Day und zur Verleihung der Oracle Excellence Awards. Wie immer war unsere Blogredaktion natürlich live vor Ort. Zu den Höhepunkten des Partner Day zählte die Key Note zur Oracle Strategie von Helene Lengler, Vice President Sales Fusion Middleware & Engineered Systems. Spannend für die Partner war auch der Blick in die Zukunft mit Andreas Zilch (Experton): Industrie 4.0 lautete eines seiner zentralen Themen - also die Frage der Informatisierung der klassischen Industrien und damit natürlich auch das Internet of Things. Ich freue mich auf neue Herausforderungen im FY2015 und vor allem auf die anregende Zusammenarbeit mit Ihnen! Wir werden gemeinsam daran arbeiten, spannende Projekte u.a. mit Big Data, Customer Experience oder Cloud zu entwickeln. Uns allen wünsche ich ein gutes, erfolgreiches Geschäftsjahr 2015. Herzlichst, Ihr Christian Werner Senior Director Alliances & Channels Deutschland

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  • Restrict number of characters to be typed for af:autoSuggestBehavior

    - by Arunkumar Ramamoorthy
    When using AutoSuggestBehavior for a UI Component, the auto suggest list is displayed as soon as the user starts typing in the field. In this article, we will find how to restrict the autosuggest list to be displayed till the user types in couple of characters. This would be more useful in the low latency networks and also the autosuggest list is bigger. We could display a static message to let the user know that they need to type in more characters to get a list for picking a value from. Final output we would expect is like the below image Lets see how we can implement this. Assuming we have an input text for the users to enter the country name and an autosuggest behavior is added to it. <af:inputText label="Country" id="it1"> <af:autoSuggestBehavior /> </af:inputText> Also, assuming we have a VO (we'll name it as CountryView for this example), with a view criteria to filter out the VO based on the bind variable passed. Now, we would generate View Impl class from the java node (including bind variables) and then expose the setter method of the bind variable to client interface. In the View layer, we would create a tree binding for the VO and the method binding for the setter method of the bind variable exposed above, in the pagedef file As we've already added an input text and an autosuggestbehavior for the test, we would not need to build the suggested items for the autosuggest list.Let us add a method in the backing bean to return us List of select items to be bound to the autosuggest list. padding: 5px; background-color: #fbfbfb; min-height: 40px; width: 544px; height: 168px; overflow: auto;"> public List onSuggest(String searchTerm) { ArrayList<SelectItem> selectItems = new ArrayList<SelectItem>(); if(searchTerm.length()>1) { //get access to the binding context and binding container at runtime BindingContext bctx = BindingContext.getCurrent(); BindingContainer bindings = bctx.getCurrentBindingsEntry(); //set the bind variable value that is used to filter the View Object //query of the suggest list. The View Object instance has a View //Criteria assigned OperationBinding setVariable = (OperationBinding) bindings.get("setBind_CountryName"); setVariable.getParamsMap().put("value", searchTerm); setVariable.execute(); //the data in the suggest list is queried by a tree binding. JUCtrlHierBinding hierBinding = (JUCtrlHierBinding) bindings.get("CountryView1"); //re-query the list based on the new bind variable values hierBinding.executeQuery(); //The rangeSet, the list of queries entries, is of type //JUCtrlValueBndingRef. List<JUCtrlValueBindingRef> displayDataList = hierBinding.getRangeSet(); for (JUCtrlValueBindingRef displayData : displayDataList){ Row rw = displayData.getRow(); //populate the SelectItem list selectItems.add(new SelectItem( (String)rw.getAttribute("Name"), (String)rw.getAttribute("Name"))); } } else{ SelectItem a = new SelectItem("","Type in two or more characters..","",true); selectItems.add(a); } return selectItems; } So, what we are doing in the above method is, to check the length of the search term and if it is more than 1 (i.e 2 or more characters), the return the actual suggest list. Otherwise, create a read only select item new SelectItem("","Type in two or more characters..","",true); and add it to the list of suggested items to be displayed. The last parameter for the SelectItem (boolean) is to make it as readOnly, so that users would not be able to select this static message from the displayed list. Finally, bind this method to the input text's autosuggestbehavior's suggestedItems property. <af:inputText label="Country" id="it1"> <af:autoSuggestBehavior suggestedItems="#{AutoSuggestBean.onSuggest}"/> </af:inputText>

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  • Enabling support of EUS and Fusion Apps in OUD

    - by Sylvain Duloutre
    Since the 11gR2 release, OUD supports Enterprise User Security (EUS) for database authentication and also Fusion Apps. I'll plan to blog on that soon. Meanwhile, the R2 OUD graphical setup does not let you configure both EUS and FusionApps support at the same time. However, it can be done manually using the dsconfig command line. The simplest way to proceed is to select EUS from the setup tool, then manually add support for Fusion Apps using dsconfig using the commands below: - create a FA workflow element with eusWfe as next element: dsconfig create-workflow-element \           --set enabled:true \           --set next-workflow-element:Eus0 \           --type fa \           --element-name faWfe - modify the workflow so that it starts from your FA workflow element instead of Eus: dsconfig set-workflow-prop \           --workflow-name userRoot0 \           --set workflow-element:faWfe  Note: the configuration changes may slightly differ in case multiple databases/suffixes are configured on OUD.

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  • Java 6.0 Virtual Machine re-caches application on every load

    - by David Neale
    I have a Java application which is loaded and cached by the JRE and for most users it only needs to cache once unless the application software has changed. However, I have one computer that caches the entire application every time they load it. It is not the version of the JRE, I have that running on other machines. It also works on this machine if logged in as a local admin, just not as a standard user. Does anybody have any ideas on what might be causing this?

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  • Adatlopások, adatszivárgások és más incidensek az USA egészségügyében

    - by user645740
    A The New York Times blogján olvastam a hírt, hogy ismét adatlopás történt, most 4,5 milló páciens adatát szerezték meg hackerek 2014 április és június között, most a Community Health Systems rendszerébol. A cég 206 kórházat üzemeltet. Az ellopott adatok tartalmazzák a születési dátumokat, telefonszámokat, stb. is, viszont most egészségügyi állapotukra, kezelésükre vonatkozó adatot nem szereztek meg. A cikk itt olvasható: Hack of Community Health Systems Affects 4.5 Million Patients: http://bits.blogs.nytimes.com/2014/08/18/hack-of-community-health-systems-affects-4-5-million-patients/ Az USÁ-ban törvényi kötelezettségnek megfeleloen publikálni kell minden biztonsági incidenst, ami legalább 500 személy érint. Ezeket az adatokat a következo oldalon tekinthetjük meg: http://www.hhs.gov/ocr/privacy/hipaa/administrative/breachnotificationrule/breachtool.htmlCsak 2014-ben legalább 75 incidens volt, összesen több mint 1080 incidens van az adathalmazban. Sokszor papír alapon szivárogtak ki az infók, vagy nem titkosított USB drive, laptop tunt el, stb, illetve hacking is jó néhányszor elofordult.

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  • Best Way To Develop Robust Cross-Platform Application?

    - by Clay
    Windows C programmer here (going back to 1992 and Windows95 back when it was called Windows93). Can function in C++, but mostly still a C programmer. Looking to build a cross-platform casual game. Very numbers heavy with only a few artistic embellishments and animations, so perhaps a development environment for business apps might be the best option. Or an easy-to-use 2D game dev platform. Target platforms: Windows, Mac, MS Tablet, iPhone, iPad, Android. I currently develop on Windows with Visual Studio 2012, but we could spend up to $50K on hardware/software/middleware if necessary. Not very competent getting open-source software working. Would rather pay the money and jump right into app development. Recommendations?

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  • OBIA on Teradata - Part 2 Teradata DB Utilization for ETL

    - by Mohan Ramanuja
    Techniques to Monitor Queries and ETL Load CPU and Disk I/OSelect username, processor, sum(cputime), sum(diskio) from dbc.ampusage where processor ='1-0' order by 2,3 descgroup by 1,2;UserName    Vproc    Sum(CpuTime)    Sum(DiskIO)AC00916        10    6.71            24975 List Hardware ErrorsThere is a possibility that the system might have adequate disk space but out of free cylinders. In order to monitor hardware errors, the following query was used:Select * from dbc.Software_Event_Log where Text like '%restart%' order by thedate, thetime;For active users, usage of CPU and analysis of bad CPU to I/O ratiosSelect * from DBC.AMPUSAGE where username='CRMSTGC_DEV_ID';  AND SUBSTR(ACCOUNTNAME,6,3)='006'; Usage By I/OSelect AccountName, UserName, sum(CpuTime), sum(DiskIO)  from DBC.AMPUSAGE group by AccountName, UserName Order by Sum(DiskIO) desc; AccountName                       UserName                          Sum(CpuTime)  Sum(DiskIO)$M1$10062209                      AB89487                           374628.612    7821847$M1$10062210                      AB89487                           186692.244    2799412$M1$10062213                      COC_ETL_ID                        119531.068    331100426$M1$10062200                      AB63472                           118973.316    109881984$M1$10062204                      AB63472                           110825.356    94666986$M1$10062201                      AB63472                           110797.976    75016994$M1$10062202                      AC06936                           100924.448    407839702$M1$10062204                      AB67963                           0         4$M1$10062207                      AB91990                           0         2$M1$10062208                      AB63461                           0         24$M1$10062211                      AB84332                           0         6$M1$10062214                      AB65484                           0         8$M1$10062205                      AB77529                           0         58$M1$10062210                      AC04768                           0         36$M1$10062206                      AB54940                           0         22 Usage By CPUSelect AccountName, UserName, sum(CpuTime), sum(DiskIO)  from DBC.AMPUSAGE group by AccountName, UserName Order by Sum(CpuTime) desc;AccountName                       UserName                          Sum(CpuTime)  Sum(DiskIO)$M1$10062209                      AB89487                           374628.612    7821847$M1$10062210                      AB89487                           186692.244    2799412$M1$10062213                      COC_ETL_ID                        119531.068    331100426$M1$10062200                      AB63472                           118973.316    109881984$M1$10062204                      AB63472                           110825.356    94666986$M1$10062201                      AB63472                           110797.976    75016994$M2$100622105813004760047LOAD     T23_ETLPROC_ENT                   0 6$M1$10062215                      AA37720                           0     180$M1$10062209                      AB81670                           0     6Select count(distinct vproc) from dbc.ampusage;432select * from dbc.dbcinfo;AccountName     UserName     CpuTime DiskIO  CpuTimeNorm         Vproc VprocType    Model$M1$10062205                      CRM_STGC_DEV_ID                   0.32    1764    12.7423999023438    0     AMP      2580$M1$10062205                      CRM_STGC_DEV_ID                   0.28    1730    11.1495999145508    3     AMP      2580$M1$10062205                      CRM_STGC_DEV_ID                   0.304    1736    12.1052799072266    4    AMP      2580$M1$10062205                      CRM_STGC_DEV_ID                   0.248    1731    9.87535992431641    7    AMP      2580$M1$10062205                      CRM_STGC_DEV_ID                   0.332    1731    13.2202398986816    8    AMP      2580$M1$10062205                      CRM_STGC_DEV_ID                   0.284    1712    11.3088799133301    11   AMP      2580$M1$10062205                      CRM_STGC_DEV_ID                   0.24    1757    9.55679992675781    12    AMP      2580$M1$10062205                      CRM_STGC_DEV_ID                   0.292    1737    11.6274399108887    15   AMP      2580$M1$10062205                      CRM_STGC_DEV_ID                   0.268    1753    10.6717599182129    16   AMP      2580$M1$10062205                      CRM_STGC_DEV_ID                   0.276    1732    10.9903199157715    19   AMP      2580select * from dbc.dbcinfo;InfoKey    InfoDataLANGUAGE   SUPPORT           MODE    StandardRELEASE    12.00.03.03VERSION    12.00.03.01a

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  • Workflow Overview & Best Practices - EMEA

    - by Annemarie Provisero
    ADVISOR WEBCAST: Workflow Overview & Best Practices - EMEA PRODUCT FAMILY: EBS - ATG - Workflow   February 16, 2011 at 10:00 am CET, 02:30 pm India, 06:00 pm Japan, 08:00 pm Australia This 1.5-hour session is recommended for technical and functional Users who are interested to get an generic overview about the Tools and Utilities available to get a closer look into the Java Virtual Machine used in an E-Business Suite Environment and how to tune it. TOPICS WILL INCLUDE: Introduction of Workflow Useful Utilities and Tools Best Practices Q&A A short, live demonstration (only if applicable) and question and answer period will be included. Oracle Advisor Webcasts are dedicated to building your awareness around our products and services. This session does not replace offerings from Oracle Global Support Services. Click here to register for this session ------------------------------------------------------------------------------------------------------------- The above webcast is a service of the E-Business Suite Communities in My Oracle Support.For more information on other webcasts, please reference the Oracle Advisor Webcast Schedule.Click here to visit the E-Business Communities in My Oracle Support Note that all links require access to My Oracle Support.

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  • A certain flash application causes a system crash

    - by noobermin
    It's no surprise I guess. Go here to try it! http://www.belgeler.com/blg/2hni/griffiths-introduction-to-electrodynamics-3-ed-solutions-manual It's wonderful, after a few seconds, top shows that our good friend plugin-container takes 83% of the physical memory (8 GB) before everything freezes and the PC doesn't respond. I'm using Ubuntu 12.04 and I have an nvidia (GTS 250) card with the "post-release updates" version of the driver. OFFTOPIC: Yes, it's the solutions manual. I'm self-studying so I don't have a professor to check my work. Please don't judge me :)

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  • Which one is better offline method for large scale application

    - by Manish Pansiniya
    We've a big data management website used by several property. Some of our customers have downtime (they can't access net for an hour or two). We want our site to support offline data viewing and inventory management (typical data search and add/remove) and when the user goes online we can sync the changes back to our central database. Customers use several platforms like Windows, iOS, etc. We've been looking into several different options, here are the major choices - Develop offline web app supported in HTML5. Develop a 'fallback' mechanism and interact with data from the app cache as explained in here (http://www.htmlgoodies.com/html5/tutorials/introduction-to-offline-web- applications-using-) Develop a desktop based cross platform solution. I remember the old MONO which has been popular. Here's a post (What do you suggest for cross platform apps, including web cross-platform-apps-including-web) and another one (Technology choice for cross platform development (desktop and phone)? platform-development-desktop-and-phone?rq=1) I realize the the desktop solution might be hard to maintain and result in some compatibility issues and demand test environments. Can HTML5 handle moderate to high level complexity and data flow? Or would it be better to rely on a desktop based app for better scalability & performance?

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