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  • Parleys Testimonial at GlassFish Community Event, JavaOne 2012

    - by arungupta
    Parleys.com is an e-learning platform that provide a unique experience of online and offline viewing presentations, with integrated movies and chaptering, from the top notch developer conferences and about 40 JUGs all around the world. Stephan Janssen (the Devoxx man and Parleys webmaster) presented at the GlassFish Community Event at JavaOne 2012 and shared why they moved from Tomcat to GlassFish. The move paid off as GlassFish was able to handle 2000 concurrent users very easily. Now they are also running Devoxx CFP and registration on this updated infrastructure. The GlassFish clustering, the asadmin CLI, application versioning, and JMS implementation are some of the features that made them a happy user. Recently they migrated their application from Spring to Java EE 6. This allows them to get locked into proprietary frameworks and also avoid 40MB WAR file deployments. Stateless application, JAX-RS, MongoDB, and Elastic Search is their magical forumla for success there. Watch the video below showing him in full action: More details about their infrastructure is available here.

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  • Math major as a viable degree

    - by Zak O'Keefe
    While I realize there are many topics about CS vs software engineering vs game school programs, I haven't found anything relating to whether pure math degrees (with CS minor and electives) would also be a viable program. By this I mean: Would having a math major, CS minor put one at competitive disadvantage as compared to a pure CS program? This relates specifically to game engine programming, more on the graphics side. Background (for those who care): Currently a math major, CS minor at school and looking to land a career doing graphics engine programming. Admittedly, I love math and if at all possible would like to stay my current program as long as it doesn't put me at a competitive disadvantage trying to land a job post-graduation. That being said, I'm strong in the traditional C/C++ languages, strong concurrent programming skills, and currently produce self-made games for iOS. As an employer, how badly is the math major hurting me? Just want to get some advice from people already in the field!

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  • Lean/Kanban *Inside* Software (i.e. WIP-Limits, Reducing Queues and Pull as Programming Techniques)

    - by Christoph
    Thinking about Kanban, I realized that the queuing-theory behind the SW-development-methodology obviously also applies to concurrent software. Now I'm looking for whether this kind of thinking is explicitly applied in some area. A simple example: We usually want to limit the number of threads to avoid cache-thrashing (WIP-Limits). In the paper about the disruptor pattern[1], one statement that I found interesting was that producer/consumers are rarely balanced so when using queues, either consumers wait (queues are empty), or producers produce more than is consumed, resulting in either a full capacity-constrained queue or an unconstrained one blowing up and eating away memory. Both, in lean-speak, is waste, and increases lead-time. Does anybody have examples of WIP-Limits, reducing/eliminating queues, pull or single piece flow being applied in programming? http://disruptor.googlecode.com/files/Disruptor-1.0.pdf

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  • New Whitepaper: Deploying E-Business Suite on Exadata and Exalogic

    - by Elke Phelps (Oracle Development)
    Our E-Business Suite Performance Team recently published a new whitepaper to assist you with deploying E-Business Suite on the Oracle Exalogic Elastic Cloud and Oracle Exadata Database Machine , also referred to as Exastack.  If you are considering a migration to Exastack, this new whitepaper will assist you understanding sizing requirements, deployment standards and migration strategies: Deploying Oracle E-Business Suite on Oracle Exalogic Elastic Cloud and Oracle Exadata Database Machine (Note 1460742.1) This whitepaper covers the following topics: Scalability and Sizing Examples - provides performance benchmark analysis with concurrent user counts, scaling analysis and sizing recommendations Deployment Standards - includes recommendations for deploying the various components of the E-Business Suite architecture on Exastack Migration Standards and Guidelines - includes an overview of methods for migrating from commodity hardware to Exastack References Our Maximum Availability Architecture (MAA) team has a number of whitepapers that provide additional information regarding Oracle E-Business Suite on the Oracle Exadata Database Machine.  Their library of whitepapers may be found here: MAA Best Practices - Oracle Applications Unlimited  Related Articles Running E-Business Suite on Exadata V2 Running Oracle E-Business Suite on Exalogic Elastic Cloud

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  • Le MPEG LA s'attaque au VP8 et au WebM de Google, le consortium cherche des brevets utilisés illégalement par le codec open-source

    Le MPEG LA s'attaque au VP8 Et au WebM de Google, le consortium cherche des brevets qui seraient utilisés illégalement par le codec open-source La lutte qui oppose les industriels soutenant le H.264 et les partisans du libre autour des codecs vidéo est sur le point de se transformer en confrontation devant les tribunaux. L'organisme MPEG LA en charge des droits sur le codec H.264 vient en effet de lancer un appel à tous les industriels qui estiment détenir des brevets potentiellement utilisés par le codec concurrent, le « VP8 », racheté et décliné sous licences libres par Google avec WebM. L'objectif de cet appel est d'étudier la possibilité de constituer une commun...

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  • Intel et Nvidia signent un accord de partages de certaines de leurs technologies, afin d'enterrer un procès vieux de deux ans

    Intel et Nvidia signent un accord de partages de certaines de leurs technologies, afin d'enterrer un procès vieux de deux ans Intel vient de s'engager à verser, à l'amiable, la somme de 1.5 milliard de dollars à Nvidia. Pour quelle raison ? Afin de clôturer un litige qui avait débuté en février 2009 suite à une plainte d'Intel contre Nvidia (affirmant que son concurrent ne possédait pas la licence nécessaire pour fabriquer des chipsets de carte-mère pour ses derniers processeurs. L'affaire s'était poursuivie avec une contre-plainte de Nvidia, qui retirait à Intel l'accès à certains de ses brevets concernant les processeurs graphiques tout en invoquant une rupture de contrat. Et tout ceci s'était, bien sur, envenimé par voie ...

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  • What is a good design pattern / lib for iOS 5 to synchronize with a web service?

    - by Junto
    We are developing an iOS application that needs to synchronize with a remote server using web services. The existing web services have an "operations" style rather than REST (implemented in WCF but exposing JSON HTTP endpoints). We are unsure of how to structure the web services to best fit with iOS and would love some advice. We are also interested in how to manage the synchronization process within iOS. Without going into detailed specifics, the application allows the user to estimate repair costs at a remote site. These costs are broken down by room and item. If the user has an internet connection this data can be sent back to the server. Multiple photographs can be taken of each item, but they will be held in a separate queue, which sends when the connection is optimal (ideally wifi). Our backend application controls the unique ids for each room and item. Thus, each time we send these costs to the server, the server echoes the central database ids back, thus, that they can be synchronized in the mobile app. I have simplified this a little, since the operations contract is actually much larger, but I just want to illustrate the basic requirements without complicating matters. Firstly, the web service architecture: We currently have two operations: GetCosts and UpdateCosts. My assumption is that if we used a strict REST architecture we would need to break our single web service operations into multiple smaller services. This would make the services much more chatty and we would also have to guarantee a delivery order from the app. For example, we need to make sure that containing rooms are added before the item. Although this seems much more RESTful, our perception is that these extra calls are expensive connections (security checks, database calls, etc). Does the type of web api (operation over service focus) determine chunky vs chatty? Since this is mobile (3G), are we better handling lots of smaller messages, or a few large ones? Secondly, the iOS side. What is the current advice on how to manage data synchronization within the iOS (5) app itself. We need multiple queues and we need to guarantee delivery order in each queue (and technically, ordering between queues). The server needs to control unique ids and other properties and echo them back to the application. The application then needs to update an internal database and when re-updating, make sure the correct ids are available in the update message (essentially multiple inserts and updates in one call). Our backend has a ton of business logic operating on these cost estimates. We don't want any of this in the app itself. Currently the iOS app sends the cost data, and then the server echoes that data back with populated ids (and other data). The existing cost data is deleted and the echoed response data is added to the client database on the device. This is causing us problems, because any photos might not have been sent, but the original entity tree has been removed and replaced. Obviously updating the costs tree rather than replacing it would remove this problem, but I'm not sure if there are any nice xcode libraries out there to do such things. I welcome any advice you might have.

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  • BeautyBay.com Boosts its Web business with Endeca!

    - by Richard Lefebvre
    BeautyBay.com Boosts Webpage Views by 70%, Increases Items Placed in Shopping Baskets, and Runs 160 Concurrent Brand and Product Promotion. BeautyBay.com Ltd is the United Kingdom’s largest independent online luxury beauty-product retailer. The company sells more than 10,000 products from leading brands like Urban Decay, Paul & Joe, Mario Badescu, bareMinerals, and Dr Sebagh. It strives to stock consumers’ favorite brands and serve as a leading source of beauty information and product reviews. The company won an Online Retail Award in 2013 in the Beauty, Perfume & Cosmetics category. Read the success story, featuring the role of Oracle Endeca here

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  • Concurrency Utilities for Java EE 6: JSR 236 Rebooting

    - by arungupta
    JSR 166 added support for concurrency utilities in the Java platform. The JSR 236's, a.k.a Concurrency Utilities for Java EE, goal was to extend that support to the Java EE platform by adding asynchronous abilities to different application components. The EG was however stagnant since Dec 2003. Its coming back to life with the co-spec lead Anthony Lai's message to the JSR 236 EG (archived here). The JSR will be operating under JCP 2.8's transparency rules and can be tracked at concurrency-spec.java.net. All the mailing lists are archived here. The final release is expected in Q1 2013 and the APIs will live in the javax.enterprise.concurrent package. Please submit your nomination if you would like to join this EG.

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  • T-SQL Tuesday #15 : Running T-SQL workloads remotely on multiple servers

    - by AaronBertrand
    This month's installment of T-SQL Tuesday is hosted by Pat Wright ( blog | twitter ). Pat says: "So the topic I have chosen for this month is Automation! It can be Automation with T-SQL or with Powershell or a mix of both. Give us your best tips/tricks and ideas for making our lives easier through Automation." In a recent project, we've had a need to run concurrent workloads on as many as 100 instances of SQL Server in a test environment. A goal, obviously, is to accomplish this without having to...(read more)

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  • Coherence Data Guarantees for Data Reads - Basic Terminology

    - by jpurdy
    When integrating Coherence into applications, each application has its own set of requirements with respect to data integrity guarantees. Developers often describe these requirements using expressions like "avoiding dirty reads" or "making sure that updates are transactional", but we often find that even in a small group of people, there may be a wide range of opinions as to what these terms mean. This may simply be due to a lack of familiarity, but given that Coherence sits at an intersection of several (mostly) unrelated fields, it may be a matter of conflicting vocabularies (e.g. "consistency" is similar but different in transaction processing versus multi-threaded programming). Since almost all data read consistency issues are related to the concept of concurrency, it is helpful to start with a definition of that, or rather what it means for two operations to be concurrent. Rather than implying that they occur "at the same time", concurrency is a slightly weaker statement -- it simply means that it can't be proven that one event precedes (or follows) the other. As an example, in a Coherence application, if two client members mutate two different cache entries sitting on two different cache servers at roughly the same time, it is likely that one update will precede the other by a significant amount of time (say 0.1ms). However, since there is no guarantee that all four members have their clocks perfectly synchronized, and there is no way to precisely measure the time it takes to send a given message between any two members (that have differing clocks), we consider these to be concurrent operations since we can not (easily) prove otherwise. So this leads to a question that we hear quite frequently: "Are the contents of the near cache always synchronized with the underlying distributed cache?". It's easy to see that if an update on a cache server results in a message being sent to each near cache, and then that near cache being updated that there is a window where the contents are different. However, this is irrelevant, since even if the application reads directly from the distributed cache, another thread update the cache before the read is returned to the application. Even if no other member modifies a cache entry prior to the local near cache entry being updated (and subsequently read), the purpose of reading a cache entry is to do something with the result, usually either displaying for consumption by a human, or by updating the entry based on the current state of the entry. In the former case, it's clear that if the data is updated faster than a human can perceive, then there is no problem (and in many cases this can be relaxed even further). For the latter case, the application must assume that the value might potentially be updated before it has a chance to update it. This almost aways the case with read-only caches, and the solution is the traditional optimistic transaction pattern, which requires the application to explicitly state what assumptions it made about the old value of the cache entry. If the application doesn't want to bother stating those assumptions, it is free to lock the cache entry prior to reading it, ensuring that no other threads will mutate the entry, a pessimistic approach. The optimistic approach relies on what is sometimes called a "fuzzy read". In other words, the application assumes that the read should be correct, but it also acknowledges that it might not be. (I use the qualifier "sometimes" because in some writings, "fuzzy read" indicates the situation where the application actually sees an original value and then later sees an updated value within the same transaction -- however, both definitions are roughly equivalent from an application design perspective). If the read is not correct it is called a "stale read". Going back to the definition of concurrency, it may seem difficult to precisely define a stale read, but the practical way of detecting a stale read is that is will cause the encompassing transaction to roll back if it tries to update that value. The pessimistic approach relies on a "coherent read", a guarantee that the value returned is not only the same as the primary copy of that value, but also that it will remain that way. In most cases this can be used interchangeably with "repeatable read" (though that term has additional implications when used in the context of a database system). In none of cases above is it possible for the application to perform a "dirty read". A dirty read occurs when the application reads a piece of data that was never committed. In practice the only way this can occur is with multi-phase updates such as transactions, where a value may be temporarily update but then withdrawn when a transaction is rolled back. If another thread sees that value prior to the rollback, it is a dirty read. If an application uses optimistic transactions, dirty reads will merely result in a lack of forward progress (this is actually one of the main risks of dirty reads -- they can be chained and potentially cause cascading rollbacks). The concepts of dirty reads, fuzzy reads, stale reads and coherent reads are able to describe the vast majority of requirements that we see in the field. However, the important thing is to define the terms used to define requirements. A quick web search for each of the terms in this article will show multiple meanings, so I've selected what are generally the most common variations, but it never hurts to state each definition explicitly if they are critical to the success of a project (many applications have sufficiently loose requirements that precise terminology can be avoided).

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  • T-SQL Tuesday #15 : Running T-SQL workloads remotely on multiple servers

    - by AaronBertrand
    This month's installment of T-SQL Tuesday is hosted by Pat Wright ( blog | twitter ). Pat says: "So the topic I have chosen for this month is Automation! It can be Automation with T-SQL or with Powershell or a mix of both. Give us your best tips/tricks and ideas for making our lives easier through Automation." In a project we are working on, we've had a need to run concurrent workloads on as many as 100 instances of SQL Server in a test environment. A goal, obviously, is to accomplish this without...(read more)

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  • Intel et Nvidia signent un accord de partages de technologies, pour enterrer un procès vieux de deux ans

    Intel et Nvidia signent un accord de partages de certaines de leurs technologies, afin d'enterrer un procès vieux de deux ans Intel vient de s'engager à verser, à l'amiable, la somme de 1.5 milliard de dollars à Nvidia. Pour quelle raison ? Afin de clôturer un litige qui avait débuté en février 2009 suite à une plainte d'Intel contre Nvidia (affirmant que son concurrent ne possédait pas la licence nécessaire pour fabriquer des chipsets de carte-mère pour ses derniers processeurs. L'affaire s'était poursuivie avec une contre-plainte de Nvidia, qui retirait à Intel l'accès à certains de ses brevets concernant les processeurs graphiques tout en invoquant une rupture de contrat. Et tout ceci s'était, bien sur, envenimé par voie ...

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  • Google devrait-il arrêter le développement de Chrome OS ? La séparation des équipes de Chrome et Android est jugée "stupide"

    Google devrait-il abandonner le développement de Chrome OS ? Un analyste de Bloomberg vient de publier un billet de blog plutôt provocateur. Il y traite Google d'imbécile, du fait de son organisation interne relative au développement de ses deux systèmes d'exploitation. En effet, il faut savoir qu'à Mountain View, une équipe travaille sur Chrome OS, tandis que l'autre s'occupe d'Android. Et ces deux groupes ne collaborent absolument pas, il régnerait même entre eux un fort esprit de compétition, d'après certains salariés de la firme. Pourtant, d'après Brad Stone, Android a largement démontré sa supériorité et sa plus grande popularité que son "concurrent" interne. Il estime donc que le staff ...

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  • Peut-on réaliser un bon design Web sans Web-designer ? Quelques pistes de réflexions pour tenter d'y arriver

    Le design des sites aujourd'hui est un point "critique". Et bien souvent les utilisateurs préfèreront un "beau" site à son concurrent moins "évolué" graphiquement. Malheureusement, il n'est pas toujours possible d'avoir à ses côtés un web designer. Dans ce cas, il faut se retrousser les manches et tenter de faire du mieux que l'on peut. Savoir créer un design attrayant ne s'apprend pas en quelques lignes. Cependant voici un petit guide pour débutant qui vous aidera dans la création de votre graphisme. Les contraintes sont nécessaires Même si ça peut sembler contre-intuitif, un bon design part toujours de contraintes bien établies. Si vous pensez que votre projet n'...

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  • Windows 8 débutera timidement pour décoller en 2014, selon Forrester, qui met en évidence l'hétérogénéité du marché global des OS

    Windows 8 débutera timidement pour décoller en 2014 selon Forrester, qui met en évidence l'hétérogénéité du marché global des OS À quelques jours de la sortie grand public de Windows 8, le cabinet d'analyse Forrester livre sa vision du futur de l'OS de Microsoft. Selon l'analyste Frank Gillett, vice-président du cabinet Forrester Research, le système d'exploitation va démarrer de façon timide en 2013 sur les PC, puis les ventes vont décoller en 2014. Par contre, Microsoft se positionnera simplement comme un concurrent sur le marché des tablettes et comme un troisième acteur dans le secteur de mobile, loin derrière Android et l'iPhone. Pour Franck Gillett, Microsoft...

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  • Google offre son codec video VP8 sous licence open source, Firefox l'intègre déjà

    Google offre son codec video VP8 sous licence open source, Firefox l'intègre déjà A l'occasion d'I/O (Innovation et Ouverture), sa conférence annuelle pour les développeurs, Google a fait plusieurs annonces importantes. Il a ainsi révélé que son codec vidéo VP8 sera désormais disponible en open source et sans royalties. Il s'agit d'un concurrent libre, en opposition aux technologies propriétaires comme H.264, permettant un encodage vidéo de qualité pour une consommation de bande passante limitée. Tout ceci fait partie d'un projet autrement plus vaste, WebM, dont le but est la création d'un format multimédia ouvert hautement qualitatif. Pour cela, les d...

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  • C redevient le langage le plus utilisé devant Java et C++, d'après le classement des langages de pro

    Le C redevient le langage de programmation le plus utilisé Devant Java et le C++, d'après TIOBE Software TIOBE Software publie chaque mois son classement (le TIOBE Programming Community index) des langages de programmation. D'après cet index, pour la première fois depuis 4 ans, Java perd sa place de langage le plus populaire au profit du C qui retrouve donc le top du classement. Le C "est assez constant au fil des années, il varie entre 15% et 20% de parts de marché depuis presque 10 ans. Donc, la raison principale de cette place de numéro 1 n'est pas une progression du C, mais plutôt la baisse de son concurrent Java", explique l'analyse qui accompagne ce ...

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  • Using XA Transactions in Coherence-based Applications

    - by jpurdy
    While the costs of XA transactions are well known (e.g. increased data contention, higher latency, significant disk I/O for logging, availability challenges, etc.), in many cases they are the most attractive option for coordinating logical transactions across multiple resources. There are a few common approaches when integrating Coherence into applications via the use of an application server's transaction manager: Use of Coherence as a read-only cache, applying transactions to the underlying database (or any system of record) instead of the cache. Use of TransactionMap interface via the included resource adapter. Use of the new ACID transaction framework, introduced in Coherence 3.6.   Each of these may have significant drawbacks for certain workloads. Using Coherence as a read-only cache is the simplest option. In this approach, the application is responsible for managing both the database and the cache (either within the business logic or via application server hooks). This approach also tends to provide limited benefit for many workloads, particularly those workloads that either have queries (given the complexity of maintaining a fully cached data set in Coherence) or are not read-heavy (where the cost of managing the cache may outweigh the benefits of reading from it). All updates are made synchronously to the database, leaving it as both a source of latency as well as a potential bottleneck. This approach also prevents addressing "hot data" problems (when certain objects are updated by many concurrent transactions) since most database servers offer no facilities for explicitly controlling concurrent updates. Finally, this option tends to be a better fit for key-based access (rather than filter-based access such as queries) since this makes it easier to aggressively invalidate cache entries without worrying about when they will be reloaded. The advantage of this approach is that it allows strong data consistency as long as optimistic concurrency control is used to ensure that database updates are applied correctly regardless of whether the cache contains stale (or even dirty) data. Another benefit of this approach is that it avoids the limitations of Coherence's write-through caching implementation. TransactionMap is generally used when Coherence acts as system of record. TransactionMap is not generally compatible with write-through caching, so it will usually be either used to manage a standalone cache or when the cache is backed by a database via write-behind caching. TransactionMap has some restrictions that may limit its utility, the most significant being: The lock-based concurrency model is relatively inefficient and may introduce significant latency and contention. As an example, in a typical configuration, a transaction that updates 20 cache entries will require roughly 40ms just for lock management (assuming all locks are granted immediately, and excluding validation and writing which will require a similar amount of time). This may be partially mitigated by denormalizing (e.g. combining a parent object and its set of child objects into a single cache entry), at the cost of increasing false contention (e.g. transactions will conflict even when updating different child objects). If the client (application server JVM) fails during the commit phase, locks will be released immediately, and the transaction may be partially committed. In practice, this is usually not as bad as it may sound since the commit phase is usually very short (all locks having been previously acquired). Note that this vulnerability does not exist when a single NamedCache is used and all updates are confined to a single partition (generally implying the use of partition affinity). The unconventional TransactionMap API is cumbersome but manageable. Only a few methods are transactional, primarily get(), put() and remove(). The ACID transactions framework (accessed via the Connection class) provides atomicity guarantees by implementing the NamedCache interface, maintaining its own cache data and transaction logs inside a set of private partitioned caches. This feature may be used as either a local transactional resource or as logging XA resource. However, a lack of database integration precludes the use of this functionality for most applications. A side effect of this is that this feature has not seen significant adoption, meaning that any use of this is subject to the usual headaches associated with being an early adopter (greater chance of bugs and greater risk of hitting an unoptimized code path). As a result, for the moment, we generally recommend against using this feature. In summary, it is possible to use Coherence in XA-oriented applications, and several customers are doing this successfully, but it is not a core usage model for the product, so care should be taken before committing to this path. For most applications, the most robust solution is normally to use Coherence as a read-only cache of the underlying data resources, even if this prevents taking advantage of certain product features.

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  • Optimum Number of Parallel Processes

    - by System Down
    I just finished coding a (basic) ray tracer in C# for fun and for the learning experience. Now I want to further that learning experience. It seems to me that ray tracing is a prime candidate for parallel processing, which is something I have very little experience in. My question is this: how do I know the optimum number of concurrent processes to run? My first instinct tells me: it depends on how many cores my processor has, but like I said I'm new to this and I may be neglecting something.

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  • Le code source du malware ultra - sophistiqué Carberp disponible en téléchargement, un bazooka entre les mains d'apprentis développeurs pour un expert

    Le nouveau malware bancaire ultra-sophistiqué « Carberp » défie Zeus De plus en plus de malwares ciblent Mozilla FirefoxZeus, Le cheval de Troie dont un des buts principaux est l'usurpation d'informations bancaires par Keylogging (enregistrement de frappe) n'a qu'à bien se tenir. Un sérieux concurrent vient de lui déclarer la guerre.Encore indétectable par 5 des 6 antivirus les plus répandus, il fait des ravages pour piller les comptes en banques en Europe et en Amérique au profit d'un groupe de criminels.Baptisé « Carberp », il met en action des mécanismes identiques à ceux de Zeus et cible les systèmes et navigateurs les plus populaires, à savoir Windows 7, Vista et XP, Internet Explorer et Moz...

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  • Le code source du malware ultrasophistiqué Carberp disponible en téléchargement, un bazooka entre les mains d'apprentis développeurs pour un expert

    Le nouveau malware bancaire ultra-sophistiqué « Carberp » défie Zeus De plus en plus de malwares ciblent Mozilla FirefoxZeus, Le cheval de Troie dont un des buts principaux est l'usurpation d'informations bancaires par Keylogging (enregistrement de frappe) n'a qu'à bien se tenir. Un sérieux concurrent vient de lui déclarer la guerre.Encore indétectable par 5 des 6 antivirus les plus répandus, il fait des ravages pour piller les comptes en banques en Europe et en Amérique au profit d'un groupe de criminels.Baptisé « Carberp », il met en action des mécanismes identiques à ceux de Zeus et cible les systèmes et navigateurs les plus populaires, à savoir Windows 7, Vista et XP, Internet Explorer et Moz...

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  • SQLBits 9 goes to Liverpool

    SQLBits 9 has now been announced as 29th September to 1st October 2011 at the Adelphi Hotel in Liverpool. This will follow the now familiar three day format, a training day, and two full days of concurrent sessions. Saturday 1st October will of course be the free community day. Despite growing the event quite dramatically over the past four years, this is something we are all very proud to have maintained and is a key factor when planning the events. Plenty of more info to come, but in the meantime session submission is now open so why not submit an abstract?

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  • SkyDrive : Microsoft sort l'application Android pour son espace de stockage Cloud compatible Windows, Mac, iOS et Windows Phone

    SkyDrive : Microsoft sort l'application Android pour son espace de stockage Concurrent de DropBox et de Google Drive, également disponible sur Windows, OS X, iOS et Windows Phone Chose promise, chose due. L'application pour Android de SkyDrive, le service de stockage Cloud de Microsoft, est arrivée. Plus besoin de passer par le navigateur et de se connecter au service Web pour synchroniser et/ou sauvegarder des documents avec cet outil. Pour mémoire, SkyDrive est la plateforme Cloud de Microsoft qui vise à concurrencer Google Drive et des services comme DropBox ou hubiC de OVH. L'out...

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  • CRM Webcast: Territory Setup and Manage Matching Attributes

    - by LuciaC
    Subject:  Territory Setup and Manage Matching Attributes Date: July 9, 2013 at 1pm ET, 12pm CT, 11am MT, 10am PT, 6pm, BST (London, GMT+01:00), 10:30 pm IST (Mumbai, GMT+05:30)Territories are used in a number of different EBS CRM applications, including Sales, Field Service and Service Contracts.  If you want to know more about how territories work and how to set them up, join our experts in this webcast.  The webcast will a demonstrate a high level setup for one of the Sales products and examples of how other applications use the Territory Manager. Topics will include: Enabling Matching Attributes Custom Matching Attributes Examples for Account, Leads, Quote, Proposals, Opportunities in the Sales product. Running Concurrent Requests Details & Registration: Doc ID 1544622.1

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