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  • JD Edwards Delivers Once Again with Significant Announcements

    Listen to Lenley Hensarling, JD Edwards Group Vice President,talk about the significant JD Edwards announcements made during Oracle OpenWorld 2008.Lenley will highlight how JD Edwards’ customers can benefit from the latest product releases from EnterpriseOne and World,discuss the wave of companies who are upgrading to the most recent JD Edwards releases to take advantage of an array of industry specific enhancements,and elaborate on JD Edwards’ strategy about integrating to other Oracle solutions,bringing continuous value to customers.

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  • Oracle’s Sun Server X4-8 with Built-in Elastic Computing

    - by kgee
    We are excited to announce the release of Oracle's new 8-socket server, Sun Server X4-8. It’s the most flexible 8-socket x86 server Oracle has ever designed, and also the most powerful. Not only does it use the fastest Intel® Xeon® E7 v2 processors, but also its memory, I/O and storage subsystems are all designed for maximum performance and throughput. Like its predecessor, the Sun Server X4-8 uses a “glueless” design that allows for maximum performance for Oracle Database, while also reducing power consumption and improving reliability. The specs are pretty impressive. Sun Server X4-8 supports 120 cores (or 240 threads), 6 TB memory, 9.6 TB HDD capacity or 3.2 TB SSD capacity, contains 16 PCIe Gen 3 I/O expansion slots, and allows for up to 6.4 TB Sun Flash Accelerator F80 PCIe Cards. The Sun Server X4-8 is also the most dense x86 server with its 5U chassis, allowing 60% higher rack-level core and DIMM slot density than the competition.  There has been a lot of innovation in Oracle’s x86 product line, but the latest and most significant is a capability called elastic computing. This new capability is built into each Sun Server X4-8.   Elastic computing starts with the Intel processor. While Intel provides a wide range of processors each with a fixed combination of core count, operational frequency, and power consumption, customers have been forced to make tradeoffs when they select a particular processor. They have had to make educated guesses on which particular processor (core count/frequency/cache size) will be best suited for the workload they intend to execute on the server.Oracle and Intel worked jointly to define a new processor, the Intel Xeon E7-8895 v2 for the Sun Server X4-8, that has unique characteristics and effectively combines the capabilities of three different Xeon processors into a single processor. Oracle system design engineers worked closely with Oracle’s operating system development teams to achieve the ability to vary the core count and operating frequency of the Xeon E7-8895 v2 processor with time without the need for a system level reboot.  Along with the new processor, enhancements have been made to the system BIOS, Oracle Solaris, and Oracle Linux, which allow the processors in the system to dynamically clock up to faster speeds as cores are disabled and to reach higher maximum turbo frequencies for the remaining active cores. One customer, a stock market trading company, will take advantage of the elastic computing capability of Sun Server X4-8 by repurposing servers between daytime stock trading activity and nighttime stock portfolio processing, daily, to achieve maximum performance of each workload.To learn more about Sun Server X4-8, you can find more details including the data sheet and white papers here.Josh Rosen is a Principal Product Manager for Oracle’s x86 servers, focusing on Oracle’s operating systems and software. He previously spent more than a decade as a developer and architect of system management software. Josh has worked on system management for many of Oracle's hardware products ranging from the earliest blade systems to the latest Oracle x86 servers.

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  • First-Global-Teach for the Oracle Imaging and Process Management 11g: Administration: San Francisco

    - by stephen.schleifer
    First-Global-Teach for the Oracle Imaging and Process Management 11g: Administration: San Francisco | June 23-25 This course enables participants to use Oracle Imaging and Process Management (I/PM) 11g to access, track, and annotate documents. In addition, they also get an overview of the product architecture of Oracle I/PM running on Oracle WebLogic Server.The course also delves into administration tasks such as security permissions, configuration such as creating BPEL connections, and procedures for creating applications, searches, and input mappings. Customer and partners can register by looking up the course (#D61575GC10) on http://education.oracle.com

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  • Problem in installation in My Hp g4 1226se

    - by vivek Verma
    1vivek.100 Dual booting error in Hp pavilion g4 1226se Dear sir or Madam, My name is vivek verma.... I am the user of my Hp laptop which series and model name is HP PAVILION G4 1226SE........ i have purchase in the year of 2012 and month is February.....the windows 7 home basic 64 Bit is already installed in in my laptop.... Now i want to install Ubuntu 12.04 Lts or 13.10 lts..... i have try many time to install in my laptop via live CD or USB installer....and i have try many live CD and many pen drive to install Ubuntu ... but it is not done......now i am in very big problem...... when i put my CD or USB drive to boot and install the Ubuntu......my laptop screen is goes the some black (brightness of my laptop screen is very low and there is very low visibility ) and not showing any thing on my laptop screen..... and when i move the my laptop screen.....then there is graphics option in this screen to installation of the Ubuntu option......and when i press the dual boot with setting button and press to continue them my laptop is goes for shutdown after 2 or 5 minutes..... ...... and Hp service center person is saying to me our laptop hardware has no problem.....please contact to Ubuntu tech support............. show please help me if possible..... My laptop configuration is here...... Hardware Product Name g4-1226se Product Number QJ551EA Microprocessor 2.4 GHz Intel Core i5-2430M Microprocessor Cache 3 MB L3 cache Memory 4 GB DDR3 Memory Max Upgradeable to 4 GB DDR3 Video Graphics Intel HD 3000 (up to 1.65 GB) Display 35,5 cm (14,0") High-Definition LED-backlit BrightView Display (1366 x 768) Hard Drive 500 GB SATA (5400 rpm) Multimedia Drive SuperMulti DVD±R/RW with Double Layer Support Network Card Integrated 10/100 BASE-T Ethernet LAN Wireless Connectivity 802.11 b/g/n Sound Altec Lansing speakers Keyboard Full size island-style keyboard with home roll keys Pointing Device TouchPad supporting Multi-Touch gestures with On/Off button PC Card Slots Multi-Format Digital Media Card Reader for Secure Digital cards, Multimedia cards External Ports 1 VGA 1 headphone-out 1 microphone-in 3 USB 2.0 1 RJ45 Dimensions 34.1 x 23.1 x 3.56 cm Weight Starting at 2.1 kg Power 65W AC Power Adapter 6-cell Lithium-Ion (Li-Ion) What's In The Box Webcam with Integrated Digital Microphone (VGA) Software Operating System: Windows 7 Home Basic 64bit....Genuine..... ......... Sir please help me if possible....... Name =vivek verma Contact no.+919911146737 Email [email protected]

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  • Débat Scrum : Que pensez-vous des certifications et processus de certifications définis par la Scrum

    Bonjour, La majorité des gens a connaissance des 2 formations certifiantes historiques autour de Scrum :Certified Scrum Product Owner Certified ScrumMaster (à laquelle s'est rajouté depuis le 1er octobre 2009 une évaluation en ligne) Ces certifications sont catégorisées Foundation-Level Certification par la Scrum Alliance. Ces derniers temps, sont apparues d'autres certifications, à savoir :Certified Scrum Developer (Mid-Level Certifications) Certifie...

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  • Scrum and Team Consolidation

    - by John K. Hines
    I’m still working my way through one of the more painful team consolidations of my career.  One thing that’s made it hard was my assumption that the use of Agile methods and Scrum would make everything easy.  Take three teams, make all work visible, track it, and presto: An efficient, functioning software development team. What I’ve come to realize is that the primary benefit of Scrum is that Scrum brings teams closer to their customers.  Frequent meetings, short iterations, and phased deployments are all meant to keep the customer in the loop.  It’s true that as teams become proficient with Scrum they tend to become more efficient.  But I don’t think it’s true that Scrum automatically helps people work together. Instead, Scrum can point out when teams aren’t good at working together.   And it really illustrates when teams, especially teams in sustaining mode, are reacting to their customers instead of innovating with them.  At the moment we’ve inherited a huge backlog of tools, processes, and personalities.  It’s up to us to sort them all out.  Unfortunately, after 7 &frac12; months we’re still sorting. What I’d recommend for any blended team is to look at your current product lifecycles and work on a single lifecycle for all work.  If you can’t objectively come up with one process, that’s a good indication that the new team might not be a good fit for being a single unit (which happens all the time in bigger companies).  Go ahead & self-organize into sub-teams.  Then repeat the process. If you can come up with a single process, tackle each piece and standardize all of them.  Do this as soon as possible, as it can be uncomfortable.  Standardize your requirements gathering and tracking, your exploration and technical analysis, your project planning, development standards, validation and sustaining processes.  Standardize all of it.  Make this your top priority, get it out of the way, and get back to work. Lastly, managers of blended teams should realize what I’m suggesting is a disruptive process.  But you’ve just reorganized the team is already disrupted.   Don’t pull the bandage off slowly and force the team through a prolonged transition phase, lowering their productivity over the long term.  You can role model leadership to your team and drive a true consolidation.  Destroy roadblocks, reassure those on your team who are afraid of change, and push forward to create something efficient and beautiful.  Then use Scrum to reengage your customers in a way that they’ll love. Technorati tags: Scrum Scrum Process

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  • Much Ado About Nothing: Stub Objects

    - by user9154181
    The Solaris 11 link-editor (ld) contains support for a new type of object that we call a stub object. A stub object is a shared object, built entirely from mapfiles, that supplies the same linking interface as the real object, while containing no code or data. Stub objects cannot be executed — the runtime linker will kill any process that attempts to load one. However, you can link to a stub object as a dependency, allowing the stub to act as a proxy for the real version of the object. You may well wonder if there is a point to producing an object that contains nothing but linking interface. As it turns out, stub objects are very useful for building large bodies of code such as Solaris. In the last year, we've had considerable success in applying them to one of our oldest and thorniest build problems. In this discussion, I will describe how we came to invent these objects, and how we apply them to building Solaris. This posting explains where the idea for stub objects came from, and details our long and twisty journey from hallway idea to standard link-editor feature. I expect that these details are mainly of interest to those who work on Solaris and its makefiles, those who have done so in the past, and those who work with other similar bodies of code. A subsequent posting will omit the history and background details, and instead discuss how to build and use stub objects. If you are mainly interested in what stub objects are, and don't care about the underlying software war stories, I encourage you to skip ahead. The Long Road To Stubs This all started for me with an email discussion in May of 2008, regarding a change request that was filed in 2002, entitled: 4631488 lib/Makefile is too patient: .WAITs should be reduced This CR encapsulates a number of cronic issues with Solaris builds: We build Solaris with a parallel make (dmake) that tries to build as much of the code base in parallel as possible. There is a lot of code to build, and we've long made use of parallelized builds to get the job done quicker. This is even more important in today's world of massively multicore hardware. Solaris contains a large number of executables and shared objects. Executables depend on shared objects, and shared objects can depend on each other. Before you can build an object, you need to ensure that the objects it needs have been built. This implies a need for serialization, which is in direct opposition to the desire to build everying in parallel. To accurately build objects in the right order requires an accurate set of make rules defining the things that depend on each other. This sounds simple, but the reality is quite complex. In practice, having programmers explicitly specify these dependencies is a losing strategy: It's really hard to get right. It's really easy to get it wrong and never know it because things build anyway. Even if you get it right, it won't stay that way, because dependencies between objects can change over time, and make cannot help you detect such drifing. You won't know that you got it wrong until the builds break. That can be a long time after the change that triggered the breakage happened, making it hard to connect the cause and the effect. Usually this happens just before a release, when the pressure is on, its hard to think calmly, and there is no time for deep fixes. As a poor compromise, the libraries in core Solaris were built using a set of grossly incomplete hand written rules, supplemented with a number of dmake .WAIT directives used to group the libraries into sets of non-interacting groups that can be built in parallel because we think they don't depend on each other. From time to time, someone will suggest that we could analyze the built objects themselves to determine their dependencies and then generate make rules based on those relationships. This is possible, but but there are complications that limit the usefulness of that approach: To analyze an object, you have to build it first. This is a classic chicken and egg scenario. You could analyze the results of a previous build, but then you're not necessarily going to get accurate rules for the current code. It should be possible to build the code without having a built workspace available. The analysis will take time, and remember that we're constantly trying to make builds faster, not slower. By definition, such an approach will always be approximate, and therefore only incremantally more accurate than the hand written rules described above. The hand written rules are fast and cheap, while this idea is slow and complex, so we stayed with the hand written approach. Solaris was built that way, essentially forever, because these are genuinely difficult problems that had no easy answer. The makefiles were full of build races in which the right outcomes happened reliably for years until a new machine or a change in build server workload upset the accidental balance of things. After figuring out what had happened, you'd mutter "How did that ever work?", add another incomplete and soon to be inaccurate make dependency rule to the system, and move on. This was not a satisfying solution, as we tend to be perfectionists in the Solaris group, but we didn't have a better answer. It worked well enough, approximately. And so it went for years. We needed a different approach — a new idea to cut the Gordian Knot. In that discussion from May 2008, my fellow linker-alien Rod Evans had the initial spark that lead us to a game changing series of realizations: The link-editor is used to link objects together, but it only uses the ELF metadata in the object, consisting of symbol tables, ELF versioning sections, and similar data. Notably, it does not look at, or understand, the machine code that makes an object useful at runtime. If you had an object that only contained the ELF metadata for a dependency, but not the code or data, the link-editor would find it equally useful for linking, and would never know the difference. Call it a stub object. In the core Solaris OS, we require all objects to be built with a link-editor mapfile that describes all of its publically available functions and data. Could we build a stub object using the mapfile for the real object? It ought to be very fast to build stub objects, as there are no input objects to process. Unlike the real object, stub objects would not actually require any dependencies, and so, all of the stubs for the entire system could be built in parallel. When building the real objects, one could link against the stub objects instead of the real dependencies. This means that all the real objects can be built built in parallel too, without any serialization. We could replace a system that requires perfect makefile rules with a system that requires no ordering rules whatsoever. The results would be considerably more robust. We immediately realized that this idea had potential, but also that there were many details to sort out, lots of work to do, and that perhaps it wouldn't really pan out. As is often the case, it would be necessary to do the work and see how it turned out. Following that conversation, I set about trying to build a stub object. We determined that a faithful stub has to do the following: Present the same set of global symbols, with the same ELF versioning, as the real object. Functions are simple — it suffices to have a symbol of the right type, possibly, but not necessarily, referencing a null function in its text segment. Copy relocations make data more complicated to stub. The possibility of a copy relocation means that when you create a stub, the data symbols must have the actual size of the real data. Any error in this will go uncaught at link time, and will cause tragic failures at runtime that are very hard to diagnose. For reasons too obscure to go into here, involving tentative symbols, it is also important that the data reside in bss, or not, matching its placement in the real object. If the real object has more than one symbol pointing at the same data item, we call these aliased symbols. All data symbols in the stub object must exhibit the same aliasing as the real object. We imagined the stub library feature working as follows: A command line option to ld tells it to produce a stub rather than a real object. In this mode, only mapfiles are examined, and any object or shared libraries on the command line are are ignored. The extra information needed (function or data, size, and bss details) would be added to the mapfile. When building the real object instead of the stub, the extra information for building stubs would be validated against the resulting object to ensure that they match. In exploring these ideas, I immediately run headfirst into the reality of the original mapfile syntax, a subject that I would later write about as The Problem(s) With Solaris SVR4 Link-Editor Mapfiles. The idea of extending that poor language was a non-starter. Until a better mapfile syntax became available, which seemed unlikely in 2008, the solution could not involve extentions to the mapfile syntax. Instead, we cooked up the idea (hack) of augmenting mapfiles with stylized comments that would carry the necessary information. A typical definition might look like: # DATA(i386) __iob 0x3c0 # DATA(amd64,sparcv9) __iob 0xa00 # DATA(sparc) __iob 0x140 iob; A further problem then became clear: If we can't extend the mapfile syntax, then there's no good way to extend ld with an option to produce stub objects, and to validate them against the real objects. The idea of having ld read comments in a mapfile and parse them for content is an unacceptable hack. The entire point of comments is that they are strictly for the human reader, and explicitly ignored by the tool. Taking all of these speed bumps into account, I made a new plan: A perl script reads the mapfiles, generates some small C glue code to produce empty functions and data definitions, compiles and links the stub object from the generated glue code, and then deletes the generated glue code. Another perl script used after both objects have been built, to compare the real and stub objects, using data from elfdump, and validate that they present the same linking interface. By June 2008, I had written the above, and generated a stub object for libc. It was a useful prototype process to go through, and it allowed me to explore the ideas at a deep level. Ultimately though, the result was unsatisfactory as a basis for real product. There were so many issues: The use of stylized comments were fine for a prototype, but not close to professional enough for shipping product. The idea of having to document and support it was a large concern. The ideal solution for stub objects really does involve having the link-editor accept the same arguments used to build the real object, augmented with a single extra command line option. Any other solution, such as our prototype script, will require makefiles to be modified in deeper ways to support building stubs, and so, will raise barriers to converting existing code. A validation script that rederives what the linker knew when it built an object will always be at a disadvantage relative to the actual linker that did the work. A stub object should be identifyable as such. In the prototype, there was no tag or other metadata that would let you know that they weren't real objects. Being able to identify a stub object in this way means that the file command can tell you what it is, and that the runtime linker can refuse to try and run a program that loads one. At that point, we needed to apply this prototype to building Solaris. As you might imagine, the task of modifying all the makefiles in the core Solaris code base in order to do this is a massive task, and not something you'd enter into lightly. The quality of the prototype just wasn't good enough to justify that sort of time commitment, so I tabled the project, putting it on my list of long term things to think about, and moved on to other work. It would sit there for a couple of years. Semi-coincidentally, one of the projects I tacked after that was to create a new mapfile syntax for the Solaris link-editor. We had wanted to do something about the old mapfile syntax for many years. Others before me had done some paper designs, and a great deal of thought had already gone into the features it should, and should not have, but for various reasons things had never moved beyond the idea stage. When I joined Sun in late 2005, I got involved in reviewing those things and thinking about the problem. Now in 2008, fresh from relearning for the Nth time why the old mapfile syntax was a huge impediment to linker progress, it seemed like the right time to tackle the mapfile issue. Paving the way for proper stub object support was not the driving force behind that effort, but I certainly had them in mind as I moved forward. The new mapfile syntax, which we call version 2, integrated into Nevada build snv_135 in in February 2010: 6916788 ld version 2 mapfile syntax PSARC/2009/688 Human readable and extensible ld mapfile syntax In order to prove that the new mapfile syntax was adequate for general purpose use, I had also done an overhaul of the ON consolidation to convert all mapfiles to use the new syntax, and put checks in place that would ensure that no use of the old syntax would creep back in. That work went back into snv_144 in June 2010: 6916796 OSnet mapfiles should use version 2 link-editor syntax That was a big putback, modifying 517 files, adding 18 new files, and removing 110 old ones. I would have done this putback anyway, as the work was already done, and the benefits of human readable syntax are obvious. However, among the justifications listed in CR 6916796 was this We anticipate adding additional features to the new mapfile language that will be applicable to ON, and which will require all sharable object mapfiles to use the new syntax. I never explained what those additional features were, and no one asked. It was premature to say so, but this was a reference to stub objects. By that point, I had already put together a working prototype link-editor with the necessary support for stub objects. I was pleased to find that building stubs was indeed very fast. On my desktop system (Ultra 24), an amd64 stub for libc can can be built in a fraction of a second: % ptime ld -64 -z stub -o stubs/libc.so.1 -G -hlibc.so.1 \ -ztext -zdefs -Bdirect ... real 0.019708910 user 0.010101680 sys 0.008528431 In order to go from prototype to integrated link-editor feature, I knew that I would need to prove that stub objects were valuable. And to do that, I knew that I'd have to switch the Solaris ON consolidation to use stub objects and evaluate the outcome. And in order to do that experiment, ON would first need to be converted to version 2 mapfiles. Sub-mission accomplished. Normally when you design a new feature, you can devise reasonably small tests to show it works, and then deploy it incrementally, letting it prove its value as it goes. The entire point of stub objects however was to demonstrate that they could be successfully applied to an extremely large and complex code base, and specifically to solve the Solaris build issues detailed above. There was no way to finesse the matter — in order to move ahead, I would have to successfully use stub objects to build the entire ON consolidation and demonstrate their value. In software, the need to boil the ocean can often be a warning sign that things are trending in the wrong direction. Conversely, sometimes progress demands that you build something large and new all at once. A big win, or a big loss — sometimes all you can do is try it and see what happens. And so, I spent some time staring at ON makefiles trying to get a handle on how things work, and how they'd have to change. It's a big and messy world, full of complex interactions, unspecified dependencies, special cases, and knowledge of arcane makefile features... ...and so, I backed away, put it down for a few months and did other work... ...until the fall, when I felt like it was time to stop thinking and pondering (some would say stalling) and get on with it. Without stubs, the following gives a simplified high level view of how Solaris is built: An initially empty directory known as the proto, and referenced via the ROOT makefile macro is established to receive the files that make up the Solaris distribution. A top level setup rule creates the proto area, and performs operations needed to initialize the workspace so that the main build operations can be launched, such as copying needed header files into the proto area. Parallel builds are launched to build the kernel (usr/src/uts), libraries (usr/src/lib), and commands. The install makefile target builds each item and delivers a copy to the proto area. All libraries and executables link against the objects previously installed in the proto, implying the need to synchronize the order in which things are built. Subsequent passes run lint, and do packaging. Given this structure, the additions to use stub objects are: A new second proto area is established, known as the stub proto and referenced via the STUBROOT makefile macro. The stub proto has the same structure as the real proto, but is used to hold stub objects. All files in the real proto are delivered as part of the Solaris product. In contrast, the stub proto is used to build the product, and then thrown away. A new target is added to library Makefiles called stub. This rule builds the stub objects. The ld command is designed so that you can build a stub object using the same ld command line you'd use to build the real object, with the addition of a single -z stub option. This means that the makefile rules for building the stub objects are very similar to those used to build the real objects, and many existing makefile definitions can be shared between them. A new target is added to the Makefiles called stubinstall which delivers the stub objects built by the stub rule into the stub proto. These rules reuse much of existing plumbing used by the existing install rule. The setup rule runs stubinstall over the entire lib subtree as part of its initialization. All libraries and executables link against the objects in the stub proto rather than the main proto, and can therefore be built in parallel without any synchronization. There was no small way to try this that would yield meaningful results. I would have to take a leap of faith and edit approximately 1850 makefiles and 300 mapfiles first, trusting that it would all work out. Once the editing was done, I'd type make and see what happened. This took about 6 weeks to do, and there were many dark days when I'd question the entire project, or struggle to understand some of the many twisted and complex situations I'd uncover in the makefiles. I even found a couple of new issues that required changes to the new stub object related code I'd added to ld. With a substantial amount of encouragement and help from some key people in the Solaris group, I eventually got the editing done and stub objects for the entire workspace built. I found that my desktop system could build all the stub objects in the workspace in roughly a minute. This was great news, as it meant that use of the feature is effectively free — no one was likely to notice or care about the cost of building them. After another week of typing make, fixing whatever failed, and doing it again, I succeeded in getting a complete build! The next step was to remove all of the make rules and .WAIT statements dedicated to controlling the order in which libraries under usr/src/lib are built. This came together pretty quickly, and after a few more speed bumps, I had a workspace that built cleanly and looked like something you might actually be able to integrate someday. This was a significant milestone, but there was still much left to do. I turned to doing full nightly builds. Every type of build (open, closed, OpenSolaris, export, domestic) had to be tried. Each type failed in a new and unique way, requiring some thinking and rework. As things came together, I became aware of things that could have been done better, simpler, or cleaner, and those things also required some rethinking, the seeking of wisdom from others, and some rework. After another couple of weeks, it was in close to final form. My focus turned towards the end game and integration. This was a huge workspace, and needed to go back soon, before changes in the gate would made merging increasingly difficult. At this point, I knew that the stub objects had greatly simplified the makefile logic and uncovered a number of race conditions, some of which had been there for years. I assumed that the builds were faster too, so I did some builds intended to quantify the speedup in build time that resulted from this approach. It had never occurred to me that there might not be one. And so, I was very surprised to find that the wall clock build times for a stock ON workspace were essentially identical to the times for my stub library enabled version! This is why it is important to always measure, and not just to assume. One can tell from first principles, based on all those removed dependency rules in the library makefile, that the stub object version of ON gives dmake considerably more opportunities to overlap library construction. Some hypothesis were proposed, and shot down: Could we have disabled dmakes parallel feature? No, a quick check showed things being build in parallel. It was suggested that we might be I/O bound, and so, the threads would be mostly idle. That's a plausible explanation, but system stats didn't really support it. Plus, the timing between the stub and non-stub cases were just too suspiciously identical. Are our machines already handling as much parallelism as they are capable of, and unable to exploit these additional opportunities? Once again, we didn't see the evidence to back this up. Eventually, a more plausible and obvious reason emerged: We build the libraries and commands (usr/src/lib, usr/src/cmd) in parallel with the kernel (usr/src/uts). The kernel is the long leg in that race, and so, wall clock measurements of build time are essentially showing how long it takes to build uts. Although it would have been nice to post a huge speedup immediately, we can take solace in knowing that stub objects simplify the makefiles and reduce the possibility of race conditions. The next step in reducing build time should be to find ways to reduce or overlap the uts part of the builds. When that leg of the build becomes shorter, then the increased parallelism in the libs and commands will pay additional dividends. Until then, we'll just have to settle for simpler and more robust. And so, I integrated the link-editor support for creating stub objects into snv_153 (November 2010) with 6993877 ld should produce stub objects PSARC/2010/397 ELF Stub Objects followed by the work to convert the ON consolidation in snv_161 (February 2011) with 7009826 OSnet should use stub objects 4631488 lib/Makefile is too patient: .WAITs should be reduced This was a huge putback, with 2108 modified files, 8 new files, and 2 removed files. Due to the size, I was allowed a window after snv_160 closed in which to do the putback. It went pretty smoothly for something this big, a few more preexisting race conditions would be discovered and addressed over the next few weeks, and things have been quiet since then. Conclusions and Looking Forward Solaris has been built with stub objects since February. The fact that developers no longer specify the order in which libraries are built has been a big success, and we've eliminated an entire class of build error. That's not to say that there are no build races left in the ON makefiles, but we've taken a substantial bite out of the problem while generally simplifying and improving things. The introduction of a stub proto area has also opened some interesting new possibilities for other build improvements. As this article has become quite long, and as those uses do not involve stub objects, I will defer that discussion to a future article.

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  • Importance of scripting engine at Cocos2d Game Engine

    - by Mahbubur R Aaman
    Each Game Engine is different and solves different problems in different ways, so the engine design does vary greatly from engine to engine (even though a lot of principles are shared from engine to engine). Cocos2D is a great product on it’s own, but it doesn’t expose engine functionality to a scripting Language like Lua, JavaScript etc. My Question: How much important to integrate a Scripting Engine at Cocos2d?

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  • SQL SERVER – Thinking about Deprecated, Discontinued Features and Breaking Changes while Upgrading to SQL Server 2012 – Guest Post by Nakul Vachhrajani

    - by pinaldave
    Nakul Vachhrajani is a Technical Specialist and systems development professional with iGATE having a total IT experience of more than 7 years. Nakul is an active blogger with BeyondRelational.com (150+ blogs), and can also be found on forums at SQLServerCentral and BeyondRelational.com. Nakul has also been a guest columnist for SQLAuthority.com and SQLServerCentral.com. Nakul presented a webcast on the “Underappreciated Features of Microsoft SQL Server” at the Microsoft Virtual Tech Days Exclusive Webcast series (May 02-06, 2011) on May 06, 2011. He is also the author of a research paper on Database upgrade methodologies, which was published in a CSI journal, published nationwide. In addition to his passion about SQL Server, Nakul also contributes to the academia out of personal interest. He visits various colleges and universities as an external faculty to judge project activities being carried out by the students. Disclaimer: The opinions expressed herein are his own personal opinions and do not represent his employer’s view in anyway. Blog | LinkedIn | Twitter | Google+ Let us hear the thoughts of Nakul in first person - Those who have been following my blogs would be aware that I am recently running a series on the database engine features that have been deprecated in Microsoft SQL Server 2012. Based on the response that I have received, I was quite surprised to know that most of the audience found these to be breaking changes, when in fact, they were not! It was then that I decided to write a little piece on how to plan your database upgrade such that it works with the next version of Microsoft SQL Server. Please note that the recommendations made in this article are high-level markers and are intended to help you think over the specific steps that you would need to take to upgrade your database. Refer the documentation – Understand the terms Change is the only constant in this world. Therefore, whenever customer requirements, newer architectures and designs require software vendors to make a change to the keywords, functions, etc; they ensure that they provide their end users sufficient time to migrate over to the new standards before dropping off the old ones. Microsoft does that too with it’s Microsoft SQL Server product. Whenever a new SQL Server release is announced, it comes with a list of the following features: Breaking changes These are changes that would break your currently running applications, scripts or functionalities that are based on earlier version of Microsoft SQL Server These are mostly features whose behavior has been changed keeping in mind the newer architectures and designs Lesson: These are the changes that you need to be most worried about! Discontinued features These features are no longer available in the associated version of Microsoft SQL Server These features used to be “deprecated” in the prior release Lesson: Without these changes, your database would not be compliant/may not work with the version of Microsoft SQL Server under consideration Deprecated features These features are those that are still available in the current version of Microsoft SQL Server, but are scheduled for removal in a future version. These may be removed in either the next version or any other future version of Microsoft SQL Server The features listed for deprecation will compose the list of discontinued features in the next version of SQL Server Lesson: Plan to make necessary changes required to remove/replace usage of the deprecated features with the latest recommended replacements Once a feature appears on the list, it moves from bottom to the top, i.e. it is first marked as “Deprecated” and then “Discontinued”. We know of “Breaking change” comes later on in the product life cycle. What this means is that if you want to know what features would not work with SQL Server 2012 (and you are currently using SQL Server 2008 R2), you need to refer the list of breaking changes and discontinued features in SQL Server 2012. Use the tools! There are a lot of tools and technologies around us, but it is rarely that I find teams using these tools religiously and to the best of their potential. Below are the top two tools, from Microsoft, that I use every time I plan a database upgrade. The SQL Server Upgrade Advisor Ever since SQL Server 2005 was announced, Microsoft provides a small, very light-weight tool called the “SQL Server upgrade advisor”. The upgrade advisor analyzes installed components from earlier versions of SQL Server, and then generates a report that identifies issues to fix either before or after you upgrade. The analysis examines objects that can be accessed, such as scripts, stored procedures, triggers, and trace files. Upgrade Advisor cannot analyze desktop applications or encrypted stored procedures. Refer the links towards the end of the post to know how to get the Upgrade Advisor. The SQL Server Profiler Another great tool that you can use is the one most SQL Server developers & administrators use often – the SQL Server profiler. SQL Server Profiler provides functionality to monitor the “Deprecation” event, which contains: Deprecation announcement – equivalent to features to be deprecated in a future release of SQL Server Deprecation final support – equivalent to features to be deprecated in the next release of SQL Server You can learn more using the links towards the end of the post. A basic checklist There are a lot of finer points that need to be taken care of when upgrading your database. But, it would be worth-while to identify a few basic steps in order to make your database compliant with the next version of SQL Server: Monitor the current application workload (on a test bed) via the Profiler in order to identify usage of features marked as Deprecated If none appear, you are all set! (This almost never happens) Note down all the offending queries and feature usages Run analysis sessions using the SQL Server upgrade advisor on your database Based on the inputs from the analysis report and Profiler trace sessions, Incorporate solutions for the breaking changes first Next, incorporate solutions for the discontinued features Revisit and document the upgrade strategy for your deployment scenarios Revisit the fall-back, i.e. rollback strategies in case the upgrades fail Because some programming changes are dependent upon the SQL server version, this may need to be done in consultation with the development teams Before any other enhancements are incorporated by the development team, send out the database changes into QA QA strategy should involve a comparison between an environment running the old version of SQL Server against the new one Because minimal application changes have gone in (essential changes for SQL Server version compliance only), this would be possible As an ongoing activity, keep incorporating changes recommended as per the deprecated features list As a DBA, update your coding standards to ensure that the developers are using ANSI compliant code – this code will require a change only if the ANSI standard changes Remember this: Change management is a continuous process. Keep revisiting the product release notes and incorporate recommended changes to stay prepared for the next release of SQL Server. May the power of SQL Server be with you! Links Referenced in this post Breaking changes in SQL Server 2012: Link Discontinued features in SQL Server 2012: Link Get the upgrade advisor from the Microsoft Download Center at: Link Upgrade Advisor page on MSDN: Link Profiler: Review T-SQL code to identify objects no longer supported by Microsoft: Link Upgrading to SQL Server 2012 by Vinod Kumar: Link Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Upgrade

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  • Desktop keyboard behaves like laptop keyboard when numlock is on

    - by lstone
    I have fully updated ubuntu 12.04 installed on my desktop. The problem is when I turn on NumLock, the keyboard behaves like a laptop keyboard making the keys "mjkluio789" correspond to "0-9". I've had a laptop where such behavior was expected due to absence of a separate numpad. I'm using an iBall USB keyboard and it has a numpad section unlike laptop keyboards(http://iball.co.in/Product.aspx?c=2).

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  • Google s'achemine vers la recherche sans recherche ou comment délivrer des résultats sans que l'utilisateur n'ait à le demander

    Google s'achemine vers la recherche sans recherche Ou comment délivrer des résultats sans que l'utilisateur n'ait à le demander Lors de la conférence « LeWeb10 », qui se tient actuellement à Paris (à Saint-Denis exactement), Marissa Mayer, ex-Vice Présidente du Search Product (du moteur de recherche donc) de Google - et à présent en charge de la branche Géolocalisation et des Services Localisés - est revenue sur une des perspectives d'avenir de la société. Lors d'un entretien sur la grande scène de la manifestion, elle a ainsi laissé entendre qu'un des prochains produits importants de Google serait la « découverte contextuelle » (contextual discovery) Il ne s...

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  • Multiple vulnerabilities in Adobe Flashplayer

    - by chandan
    CVE DescriptionCVSSv2 Base ScoreComponentProduct and Resolution CVE-2012-0724 Denial of Service (DoS) vulnerability 10.0 Adobe Flashplayer Solaris 10 SPARC: 125332-24 X86: 125333-23 CVE-2012-0725 Denial of Service (DoS) vulnerability 10.0 CVE-2012-0768 Denial of Service(DoS) vulnerability 10.0 CVE-2012-0769 Information disclosure vulnerability 5.0 CVE-2012-0772 Denial of Service (DoS) vulnerability 10.0 CVE-2012-0773 Denial of Service (DoS) vulnerability 10.0 This notification describes vulnerabilities fixed in third-party components that are included in Oracle's product distributions.Information about vulnerabilities affecting Oracle products can be found on Oracle Critical Patch Updates and Security Alerts page.

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  • An Update on JD Edwards EnterpriseOne Products

    Gary Grieshaber, Director of Product Strategy for EnterpriseOne, speaks with Cliff about the new Lifetime Support Option that was announced at OOW, the future of EnterpriseOne and what he recommends customers who are running EnterpriseOne Xe or 8 releases do today. Gary also chats with Cliff about the highlights of the 8.95 release and what the certification for the Oracle Fusion middleware means to the customers using EnterpriseOne Tools.

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  • What's the difference between View Criteria and Where clause?

    - by frank.nimphius
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} A View Criteria is a filter that you apply programmatically or by definition to a View Object instance. It augments the WHERE clause in a View Object query. Named View Criteria are defined in the Query panel of the View Object and are used ·         In combination with the af:query component to build search forms. To do this, you drag and drop the View Criteria from the Named View Criteria node of the View Object in the Data Controls Panel. In the context menu, you then select the Query component - optionally with a result table ·         To restrict a View Object instance in the Application Module model. For this, select a View object instance in the right hand list of the ADF Business Component Data Model panel. Use the Edit button to add a View Criteria to the View Object instance. This ensures that the View Object instance also runs with a query filter applied. View Criteria use bind variables for query conditions that you want to pass in dynamically at runtime. Beside of the ability to apply View Criteria declaratively, you can apply them programmatically in Java. A WHERE clause, if added to a View Object query by design restricts all instances of this View Object, which usually is not what developers want. Because of the benefits - and the configuration options not explained above but in the product documentation referenced below - the recommendation is to use View Criteria. The product documentation explains View Criteria in chapter 5 of the Developer Guide: http://download.oracle.com/docs/cd/E15523_01/web.1111/b31974/bcquerying.htm#BCGIFHHF

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  • Webcast Replay Available: E-Business Suite Data Protection

    - by BillSawyer
    I am pleased to release the replay and presentation for the latest ATG Live Webcast: E-Business Suite Data Protection (Presentation)   Robert Armstrong, Product Strategy Security Architect and Eric Bing, Senior Director discussed the best practices and recommendations for securing your E-Business Suite data.Finding other recorded ATG webcasts The catalog of ATG Live Webcast replays, presentations, and all ATG training materials is available in this blog's Webcasts and Training section.

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  • New SQL Code Deployment Book and Damn I Need to Blog More

    - by Rodney
    Select datediff(d,'02/19/2009',getdate()) This value returned from the above SELECT statement  is 398 and that is the number of days since my last blog post.  As I was formulating my apology for this hiatus from blogging, it dawned on me that I also do not twitter (sorry tweet) and as apologies beget apologies, I then realized that instead of catching up on the backlog of blogs, I should write a book about what I have been most focused on in the past year, one month and 3 days.  That focus is my day job, which of course, most of us have. And that day job we share is why most of us read blogs, tweets, articles and even books in the first place. So my focus for the past year has been SQL code deployments and all of that entails. I am fortunate that Redgate has agreed to entertain my crazy notion of writing an entire book about this subject, which I have tentatively titled, "The Sound and the Fury". Wait..that is not right. Oh yes, a title more befiting a techical tome but with as much profundity, "Standardizing SQL Server Code Deployements - A Redgate Guide". The great American novel must wait a few more years. As I begin this journey, I am inviting you to assist me in the discovery process and even be interviewed and included in the book itself. How do you do deployments in your company? Do you have a documented process or no process? Do you do code review or cross your fingers? Do you work for a small company or a Fortune 100 company? Government regulations or  garage? It does not  matter to me. I am not here to judge. I worked for both companies myself and have seen many things that you can relate to.  If you would like to participate and are one of the 3 people still reading this blog after 398 days, please fill out my survey and let's get started.  http://www.surveymonkey.com/s/RRG86RH  

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  • Oracle’s New Release of Primavera Contract Management

    Controlling your construction project's plan, budget, forecast costs, and deliverables is vital to the success of your projects and the future of your business. Tune into this conversation with Krista Lambert, Senior Product Manager, for the Oracle Primavera Global Business Unit to learn about the latest release of Oracle’s Primavera Contract Management version 13 and how this document management, job cost and field controls solution keeps construction projects on schedule and on-budget through complete project control.

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  • Emit Knowledge - social network for knowledge sharing

    - by hajan
    Emit Knowledge, as the words refer - it's a social network for emitting / sharing knowledge from users by users. Those who can benefit the most out of this network is perhaps all of YOU who have something to share with others and contribute to the knowledge world. I've been closely communicating with the core team of this very, very interesting, brand new social network (with specific purpose!) about the concept, idea and the vision they have for their product and I can say with a lot of confidence that this network has real potential to become something from which we will all benefit. I won't speak much about that and would prefer to give you link and try it yourself - http://www.emitknowledge.com Mainly, through the past few months I've been testing this network and it is getting improved all the time. The user experience is great, you can easily find out what you need and it follows some known patterns that are common for all social networks. They have some real good ideas and plans that are already under development for the next updates of their product. You can do micro blogging or you can do regular normal blogging… it’s up to you, and the way it works, it is seamless. Here is a short Question and Answers (QA) interview I made with the lead of the team, Marijan Nikolovski: 1. Can you please explain us briefly, what is Emit Knowledge? Emit Knowledge is a brand new knowledge based social network, delivering quality content from users to users. We believe that people’s knowledge, experience and professional thoughts compose quality content, worth sharing among millions around the world. Therefore, we created the platform that matches people’s need to share and gain knowledge in the most suitable and comfortable way. Easy to work with, Emit Knowledge lets you to smoothly craft and emit knowledge around the globe. 2. How 'old' is Emit Knowledge? In hamster’s years we are almost five years old start-up :). Just kidding. We’ve released our public beta about three months ago. Our official release date is 27 of June 2012. 3. How did you come up with this idea? Everything started from a simple idea to solve a complex problem. We’ve seen that the social web has become polluted with data and is on the right track to lose its base principles – socialization and common cause. That was our start point. We’ve gathered the team, drew some sketches and started to mind map the idea. After several idea refactoring’s Emit Knowledge was born. 4. Is there any competition out there in the market? Currently we don't have any competitors that share the same cause. What makes our platform different is the ideology that our product promotes and the functionalities that our platform offers for easy socialization based on interests and knowledge sharing. 5. What are the main technologies used to build Emit Knowledge? Emit Knowledge was built on a heterogeneous pallet of technologies. Currently, we have four of separation: UI – Built on ASP.NET MVC3 and Knockout.js; Messaging infrastructure – Build on top of RabbitMQ; Background services – Our in-house solution for job distribution, orchestration and processing; Data storage – Build on top of MongoDB; What are the main reasons you've chosen ASP.NET MVC? Since all of our team members are .NET engineers, the decision was very natural. ASP.NET MVC is the only Microsoft web stack that sticks to the HTTP behavioral standards. It is easy to work with, have a tiny learning curve and everyone who is familiar with the HTTP will understand its architecture and convention without any difficulties. 6. What are the main reasons for choosing ASP.NET MVC? Since all of our team members are .NET engineers, the decision was very natural. ASP.NET MVC is the only Microsoft web stack that sticks to the HTTP behavioral standards. It is easy to work with, have a tiny learning curve and everyone who is familiar with the HTTP will understand its architecture and convention without any difficulties. 7. Did you use some of the latest Microsoft technologies? If yes, which ones? Yes, we like to rock the cutting edge tech house. Currently we are using Microsoft’s latest technologies like ASP.NET MVC, Web API (work in progress) and the best for the last; we are utilizing Windows Azure IaaS to the bone. 8. Can you please tell us shortly, what would be the benefit of regular bloggers in other blogging platforms to join Emit Knowledge? Well, unless you are some of the smoking ace gurus whose blogs are followed by a large number of users, our platform offers knowledge based segregated community equipped with tools that will enable both current and future users to expand their relations and to self-promote in the community based on their activity and knowledge sharing. 10. I see you are working very intensively and there is already integration with some third-party services to make the process of sharing and emitting knowledge easier, which services did you integrate until now and what do you plan do to next? We have “reemit” functionality for internal sharing and we also support external services like: Twitter; LinkedIn; Facebook; For the regular bloggers we have an extra cream, Windows Live Writer support for easy blog posts emitting. 11. What should we expect next? Currently, we are working on a new fancy community feature. This means that we are going to support user groups to be formed. So for all existing communities and user groups out there, wait us a little bit, we are coming for rescue :). One of the top next features they are developing is the Community Feature. It means, if you have your own User Group, Community Group or any other Group on which you and your users are mostly blogging or sharing (emitting) knowledge in various ways, Emit Knowledge as a platform will help you have everything you need to promote your group, make new followers and host all the necessary stuff that you have had need of. I would invite you to try the network and start sharing knowledge in a way that will help you gather new followers and spread your knowledge faster, easier and in a more efficient way! Let’s Emit Knowledge!

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  • Post Crosstalk 2012

    - by David Dorf
    This year the Oracle Retail users conference, Crosstalk, had a 20% increase in attendees, which was driven by both new customers and those acquired via Endeca.  As the product assets of Oracle have grown, so has the completeness of the solution set.  This year was marked by the breadth of omni-channel stories. Rose Spicer and her marketing team (see photo on left) always strive for an equal balance of retailer presentations, networking opportunities, and unique experiences -- this year was no exception.  We had 41 different retailers from China, Russia, South Africa, Brazil, Chile, US, Canada and the UK sharing their insights with one another. In all there were 251 executives from 120 iconic brands such as Daphne, Kohl's, Morrisons, Abercrombie & Fitch, Hot Topic, Talbots, Petco, Deckers, Sportmaster, Mr. Price, Falabella, and Disney to name a few. From a product perspective, there were a few new developments from Oracle Retail: Endeca's search engine has been integrated into the ATG commerce platform. The latest Retail Analytics application, Oracle Retail Customer Analytics, is generally available. Oracle Retail previewed a new fully-integrated mobile POS. But the real benefit of attending Crosstalk was hearing about the experiences of retailers and partners.  Here are are a few interesting facts I picked up: At Kohl's, the most popular website accessed by customers within their stores is Facebook.  With all the buzz about showrooming, I was really expecting it to be Amazon. Daphne, a Chinese shoe retailer, is opening 3 new stores per day.  Being located near the factories allows them to have a very agile supply chain as well. Disney Stores have increased sales by 25% at stores upgraded to include Mobile POS.  They continue to lead the pack with excellent customer experiences. Quicksilver reported that 1 in 5 visits to their website comes from a tablet.  More evidence that tablets are replacing traditional PCs in households. By tagging shoes with RFID, Saks is able to ensure all shoe models are on display.  If a model is not being displayed, it has no chance of being sold. Additionally, there were awards, store tours on Michigan Avenue, fireworks at Navy Pier, and the Oracle Retail house band, Bolo313, performing at Solider Field.  Speaking of which, a few retailers got on stage and jammed with band -- possible rival to Rock & Roll Retail? You can always find the latest info from us at the Retail Rack. The next events on tap are the Partner Summit followed by OpenWorld.

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  • Bringing true agility to enterprise .NET: Tellago Studios announces TeleSharp

    - by gsusx
    We are happy to announce the latest addition to Tellago Studios’ product family: TeleSharp . After the success of SO-Aware and the SO-Aware Test Workbench , we decided to tackle on a bigger challenge by taking the initial steps towards simplifying enterprise .NET application development. After months of discussion with customers we decided to focus on the following challenges: Cataloging Applications What if you could keep a central catalog of the .NET applications exist on your enterprise? What...(read more)

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  • Kleo Bare Metal Backups review

    <b>Linux User and Developer:</b> "Kleo Bare Metal Backups is a freely distributed product from Carroll-Net, Inc (http://carroll.net), a company that has been in the business of protecting and retrieving data for over 15 years. This experience shows in the design of the software."

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  • All about the Fusion Middleware Best Practice Centers for Applications

    Nishit Rao, Group Product Manager and Markus Zirn, Senior Director, Oracle Fusion Middleware discuss Oracle's Fusion Middlware Best Practice Centers for E-Business Suite, Peoplesoft and Siebel, and how Application Developers can use the how-to guides, blogs and webcasts to learn FMW components and create SOA solutions with their favorite applications.

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  • The Latest JD Edwards World Technical Enhancements

    Tom Carrell, Principal Product Strategy Manager and Mike Jepkes, Senior Technical Development Manager for JD Edwards World products discuss with Cliff how customers can take full advantage of web enablement, service enablement along with many other new JD Edwards World technical enhancements.

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