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  • Implementing features in an Entity System

    - by Bane
    After asking two questions on Entity Systems (1, 2), and reading some articles on them, I think that I understand them much better than before. But, I still have some uncertainties, and mainly they are about building a Particle Emitter, an Input system, and a Camera. I obviously still have some problems understanding Entity Systems, and they might apply to a whole other range of objects, but I chose these three because they are very different concepts and should cover a pretty big ground, and help me understand Entity Systems and how to handle problems like these myself, as they come along. I am building an engine in Javascript, and I've implemented most of the core features, which include: input handling, flexible animation system, particle emitter, math classes and functions, scene handling, a camera and a render, and a whole bunch of other things that engines usually support. Then, I read Byte56's answer that got me interested into making the engine into an Entity System one. It would still remain an HTML5 game engine with the basic Scene philosophy, but it should support dynamic creation of entities from components. These are some of the definitions from the previous questions, updated: An Entity is an identifier. It doesn't have any data, it's not an object, it's a simple id that represents an index in the Scene's list of all entities (which I actually plan to implement as a component matrix). A Component is a data holder, but with methods that can operate on that data. The best example is a Vector2D, or a "Position" component. It has data: x and y, but also some methods that make operating on the data a bit easier: add(), normalize(), and so on. A System is something that can operate on a set of entities that meet the certain requirements, usually they (the entities) need to have a specified (by the system itself) set of components to be operated upon. The system is the "logic" part, the "algorithm" part, all the functionality supplied by components is purely for easier data management. The problem that I have now is fitting my old engine concept into this new programming paradigm. Lets start with the simplest one, a Camera. The camera has a position property (Vector2D), a rotation property and some methods for centering it around a point. Each frame, it is fed to a renderer, along with a scene, and all the objects are translated according to it's position. Then the scene is rendered. How could I represent this kind of an object in an Entity System? Would the camera be an entity or simply a component? A combination (see my answer)? Another issues that is bothering me is implementing a Particle Emitter. For what exactly I mean by that, you can check out my video of it: http://youtu.be/BObargIMQsE. The problem I have with this is, again, what should be what. I'm pretty sure that particles themselves shouldn't be entities, as I want to support 10k+ of them, and creating that much entities would be a heavy blow on my performance, I believe. Or maybe not? Depends on the implementation, but anyone with experience: please, do answer. The last bit I wan't to talk about, which is also bugging me the most, is how input should be handled. In my current version of the engine, there is a class called Input. It's a handler that subscribes to browser's events, such as keypresses, and mouse position changes, and also it maintains an internal state. Then, the player class has a react() method, which accepts an input object as an argument. The advantage of this is that the input object could be serialized into JSON and then shared over the network, allowing for smooth multiplayer simulations. But how does this translate into an Entity System?

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  • Smooth Sailing or Rough Waters: Navigating Policy Administration Modernization

    - by helen.pitts(at)oracle.com
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  • F1 Pit Pragmatics

    - by mikef
    "I hate computers. No, really, I hate them. I love the communications they facilitate, I love the conveniences they provide to my life. but I actually hate the computers themselves." - Scott Merrill, 'I hate computers: confessions of a Sysadmin' If Scott's goal was to polarize opinion and trigger raging arguments over the 'real reasons why computers suck', then he certainly succeeded. Impassioned vitriol sits side-by-side with rational debate. Yet Scott's fundamental point is absolutely on the money - Computers are a means to an end. The IT industry is finally starting to put weight behind the notion that good User Experience is an absolutely crucial goal, a cause championed by the likes of Microsoft's Bill Buxton, and which Apple's increasingly ubiquitous touch screen interface exemplifies. However, that doesn't change the fact that, occasionally, you just have to man up and deal with complex systems. In fact, sometimes you just need to sacrifice everything else in the name of performance. You'll find a perfect example of this Faustian bargain in Trevor Clarke's fascinating look into the (diabolical) IT infrastructure of modern F1 racing - high performance, high availability. high everything. To paraphrase, each car has up to 100 sensors, transmitting around 30Gb of data over the course of a race (70% in real-time). This data is then processed by no less than 3 servers (per car) so that the engineers in the pit have access to telemetry, strategy information, timing feeds, a connection back to the operations room in the team's home base - the list goes on. All of this while the servers are exposed "to carbon dust, oil, vibration, rain, heat, [and] variable power". Now, this is admittedly an extreme context where there's no real choice but to use complex systems where ease-of-use is, at best, a secondary concern. The flip-side is seen in small-scale personal computing such as that seen in Apple's iDevices, which are incredibly intuitive but limited in their scope. In terms of what kinds of systems they prefer to use, I suspect that most SysAdmins find themselves somewhere along this axis of Power vs. Usability, and which end of this axis you resonate with also hints at where you think the IT industry should focus its energy. Do you see yourself in the F1 pit, making split-second decisions, wrestling with information flows and reticent hardware to bend them to your will? If so, I imagine you feel that computers are subtle tools which need to be tuned and honed, using the advanced knowledge possessed only by responsible SysAdmins (If you have an iPhone, I suspect it's jail-broken). If the machines throw enigmatic errors, it's the price of flexibility and raw power. Alternatively, would you prefer to have your role more accessible, with users empowered by knowledge, spreading the load of managing IT environments? In that case, then you want hardware and software to have User Experience as their primary focus, and are of the "means to an end" school of thought (you're probably also fed up with users not listening to you when you try and help). At its heart, the dichotomy is between raw power (which might be difficult to use) and ease-of-use (which might have some limitations, but you can be up and running immediately). Of course, the ultimate goal is a fusion of flexibility, power and usability all in one system. It's achievable in specific software environments, and Red Gate considers it a target worth aiming for, but in other cases it's a goal right up there with cold fusion. I think it'll be a long time before we see it become ubiquitous. In the meantime, are you Power-Hungry or a Champion of Usability? Cheers, Michael Francis Simple Talk SysAdmin Editor

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  • First Day of Data Integration Track at Oracle OpenWorld 2012

    - by Irem Radzik
    OpenWorld started full speed for us today with a great set of sessions in the Data Integration track. After the exciting keynote session on Oracle Database 12c in the morning; Brad Adelberg, VP of Development for Data Integration products, presented Oracle’s data integration product strategy. His session highlighted the new requirements for data integration to achieve pervasive and continuous access to trusted data. The new requirements and product focus areas presented in this session are: Provide access to any data at any source On premise or on cloud Enable zero downtime operations and maximum performance Leverage real-time data for accurate business insights And ensure high quality data is used across the enterprise During the session Brad walked over how Oracle’s data integration products, Oracle Data Integrator, Oracle GoldenGate, Oracle Enterprise Data Quality, and Oracle Data Service Integrator, deliver on these requirements and how recent product releases build on this strategy. Soon after Brad’s session we heard from a panel of Oracle GoldenGate customers, St. Jude Medical, Equifax, and Bank of America, how they achieved zero downtime operations using Oracle GoldenGate. The panel presented different use cases of GoldenGate, from Active-Active replication to offloading reporting. Especially St. Jude Medical’s implementation, which involves the alert management system for patients that use their pacemakers, reminded me in some cases downtime of mission-critical systems can be a matter of life or death. It is very comforting to hear that GoldenGate delivers highly-reliable continuous availability for life-saving medical systems. In the afternoon, Nick Wagner from the Product Management team and I followed the customer panel with the review of Oracle GoldenGate 11gR2’s New Features.  Many questions we received from audience were about GoldenGate’s new Integrated Capture for Oracle Database and the enhanced Conflict Management features, as well as how GoldenGate compares to Oracle Streams. In addition to giving details on GoldenGate’s unique capability to capture changed data with a direct integration to the Oracle DBMS engine, we reminded the audience that enhancements to Oracle GoldenGate will continue, while Streams will be primarily maintained. Last but not least, Tim Garrod and Ryan Fonnett from Raymond James presented a unified real-time data integration solution using Oracle Data Integrator and GoldenGate for their operational data store (ODS). The ODS supports application services across the enterprise and providing timely data is a critical requirement. In this solution, Oracle GoldenGate does the log-based change data capture for Oracle Data Integrator’s near real-time data integration between heterogeneous systems. As Raymond James’ ODS supports mission-critical services for their advisors, the project team had to set up this integration environment to be highly available. During the session, Ryan and Tim explained how they use ODI to enable automated process execution and “always-on” integration processes. Their presentation included 2 demonstrations that focused on CDC patterns deployed with ODI and the automated multi-instance execution and monitoring. We are very grateful to Tim and Ryan for their very-well prepared presentation at OpenWorld this year. Day 2 (Tuesday) will be also a busy day in our track. In addition to the Fusion Middleware Innovation Awards ceremony at 11:45am at Moscone West 3001, we have the following DI sessions Real-World Operational Reporting Customer Panel 11:45am Moscone West- 3005 Oracle Data Integrator Product Update and Future Strategy 1:15pm Moscone West- 3005 High-volume OLTP with Oracle GoldenGate: Best Practices from Comcast 1:15pm Moscone West- 3005 Everything You need to Know about Monitoring Oracle GoldenGate 5pm Moscone West-3005 If you are at OpenWorld please join us in these sessions. For a full review of data integration track at OpenWorld please see our Focus-On document.

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  • Reduce ERP Consolidation Risks with Oracle Master Data Management

    - by Dain C. Hansen
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* 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:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Reducing the Risk of ERP Consolidation starts first and foremost with your Data.This is nothing new; companies with multiple misaligned ERP systems are often putting inordinate risk on their business. It can translate to too much inventory, long lead times, and shipping issues from poorly organized and specified goods. And don’t forget the finance side! When goods are shipped and promises are kept/not kept there’s the issue of accounts. No single chart of counts translates to no accountability. So – I’ve decided. I need to consolidate! Well, you can’t consolidate ERP applications [for that matter any of your applications] without first considering your data. This means looking at how your data is being integrated by these ERP systems, how it is being synchronized, what information is being shared, or not being shared. Most importantly, making sure that the data is mastered. What is the best way to do this? In the recent webcast: Reduce ERP consolidation Risks with Oracle Master Data Management we outlined 3 key guidelines: #1: Consolidate your Product Data#2: Consolidate your Customer, Supplier (Party Data) #3: Consolidate your Financial Data Together these help customers achieve reduced risk, better customer intimacy, reducing inventory levels, elimination of product variations, and finally a single master chart of accounts. In the case of Oracle's customer Zebra Technologies, they were able to consolidate over 140 applications by mastering their data. Ultimately this gave them 60% cost savings for the year on IT spend. Oracle’s Solution for ERP Consolidation: Master Data Management Oracle's enterprise master data management (MDM) can play a big role in ERP consolidation. It includes a set of products that consolidates and maintains complete, accurate, and authoritative master data across the enterprise and distributes this master information to all operational and analytical applications as a shared service. It’s optimized to work with any application source (not just Oracle’s) and can integrate using technology from Oracle Fusion Middleware (i.e. GoldenGate for data synchronization and real-time replication or ODI with its E-LT optimized bulk data and transformation capability). In addition especially for ERP consolidation use cases it’s important to leverage the AIA and SOA capabilities as part of Fusion Middleware to connect these multiple applications together and relay the data into the correct hub. Oracle’s MDM strategy is a unique offering in the industry, one that has common elements across the top and bottom in Middleware, BI/DW, Engineered systems combined with Enterprise Data Quality to enable comprehensive Data Governance at all levels. In addition, Oracle MDM provides the best-in-class capabilities to master all variations of data, including customer, supplier, product, financial data. But ultimately at the center of Oracle MDM is your data, making it more trusted, making it secure and accessible as part of a role-based approach, and getting it to make sense to you in any situation, whether it’s a specific ERP process like we talked about or something that is custom to your organization. To learn more about these techniques in ERP consolidation watch our webcast or goto our Oracle MDM website at www.oracle.com/goto/mdm

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  • Java Spotlight Episode 76: Pro Java FX2 - A Definative Guide to Rich Clients with Java Technology

    - by Roger Brinkley
    Tweet An interview with the authors of Pro Java FX2: A Definative Guide to Rich Clients with Java Technology. Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link:  Java Spotlight Podcast in iTunes. Show Notes News Angela Caicedo has created 3 new Java FX screen cast videos on java UTube channel: Part 1: Building your First Java FX Application with Netbeans 7.1, Part 2: Building your First Java FX Application with Netbeans 7.1, and Getting Started with Scene Builder.  Events March 26-29, EclipseCon, Reston, USA March 27, Virtual Developer Days - Java (Asia Pacific (English)),9:30 am to 2:00pm IST / 12:00pm to 4.30pm SGT  / 3.00pm - 7.30pm AEDT April 4-5, JavaOne Japan, Tokyo, Japan April 12, GreenJUG, Greenville, SC April 17-18, JavaOne Russia, Moscow Russia April 18–20, Devoxx France, Paris, France April 26, Mix-IT, Lyon, France, May 3-4, JavaOne India, Hyderabad, India Feature InterviewPro JavaFX 2: A Definitive Guide to Rich Clients with Java Technology is available from Amazon.com in either paperback or on the Kindle.James L. (Jim) Weaver is a Java and JavaFX developer, author, and speaker with a passion for helping rich-client Java and JavaFX become preferred technologies for new application development. Books that Jim has authored include Inside Java, Beginning J2EE, and Pro JavaFX Platform, with the latter being updated to cover JavaFX 2.0. His professional background includes 15 years as a systems architect at EDS, and the same number of years as an independent developer. Jim is an international speaker at software technology conferences, including the JavaOne conferences in San Francisco and São Paulo. Jim blogs at http://javafxpert.com, tweets @javafxpert. Weiqi Gao is a principal software engineer with Object Computing, Inc., in St. Louis, MO. He has more than 18 years of software development experience and has been using Java technology since 1998. He is interested in programming languages, object-oriented systems, distributed computing, and graphical user interfaces. He is a presenter and a member of the steering committee of the St. Louis Java Users Group. Weiqi holds a PhD in mathematics. Stephen Chin is chief agile methodologist at GXS and a technical expert in client UI technologies. He is lead author on the Pro Android Flash title and coauthored the Pro JavaFX Platform title, which is the leading technical reference for JavaFX. In addition, Stephen runs the very successful Silicon Valley JavaFX User Group, which has hundreds of members and tens of thousands of online viewers. Finally, he is a Java Champion, chair of the OSCON Java conference, and an internationally recognized speaker featured at Devoxx, Codemash, AnDevCon, Jazoon, and JavaOne, where he received a Rock Star Award. Stephen can be followed on twitter @steveonjava and reached via his blog: http://steveonjava.com.Dean Iverson has been writing software professionally for more than 15 years. He is employed by the Virginia Tech Transportation Institute, where he is a rich client application developer. He also has a small software consultancy called Pleasing Software Solutions, which he cofounded with his wife. Johan Vos started to work with Java in 1995. As part of the Blackdown team, he helped port Java to Linux. With LodgON, the company he cofounded, he has been mainly working on Java-based solutions for social networking software. Because he can't make a choice between embedded development and enterprise development, his main focus is on end-to-end Java, combining the strengths of backend systems and embedded devices. His favorite technologies are currently Java EE/Glassfish at the backend and JavaFX at the frontend. Johan's blog can be followed at http://blogs.lodgon.com/johan, he tweets at http://twitter.com/johanvos. Mail Bag What’s Cool Gerrit Grunwald's SteelSeries FX Experience Tools Canned Animations ComboBox

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  • New Management Console in Java SE Advanced 8u20

    - by Erik Costlow-Oracle
    Java SE 8 update 20 is a new feature release designed to provide desktop administrators with better control of their managed systems. The release notes for 8u20 are available from the public JDK release notes page. This release is not a Critical Patch Update (CPU). I would like to call attention to two noteworthy features of Oracle Java SE Advanced, the commercially supported version of Java SE for enterprises that require both support and specialized tools. The new Advanced Management Console provides a way to monitor and understand client systems at scale. It allows organizations to track usage and more easily create and manage client configuration like Deployment Rule Sets (DRS). DRS can control execution of tracked applications as well as specify compatibility of which application should use which Java SE installation. The new MSI Installer integrates into various desktop management tools, making it easier to customize and roll out different Java SE versions. Advanced Management Console The Advanced Management Console is part of Java SE Advanced designed for desktop administrators, whose users need to run many different Java applications. It provides usage tracking for those Applet & Web Start applications to help identify them for guided DRS creation. DRS can then be verified against the tracked data, to ensure that end-users can run their application against the appropriate Java version with no prompts. Usage tracking also has a different definition for Java SE than it does for most software applications. Unlike most applications where usage can be determined by a simple run-count, Java is a platform used for launching other applications. This means that usage tracking must answer both "how often is this Java SE version used" and "what applications are launched by it." Usage Tracking One piece of Java SE Advanced is a centralized usage tracker. Simply placing a properties file on the client informs systems to report information to this usage tracker, so that the desktop administrator can better understand usage. Information is sent via UDP to prevent any delay on the client. The usage tracking server resides at a central location on the intranet to collect information from those clients. The information is stored in a normalized database for performance, meaning that a single usage tracker can handle a large number of clients. Guided Deployment Rule Sets Deployment Rule Sets were introduced in Java 7 update 40 (September 2013) in order to help administrators control security prompts and guide compatibility. A previous post, Deployment Rule Sets by Example, explains how to configure a rule set so that most applications run against the most secure version but a specific applet may run against the Java version that was current several years ago. There are a different set of questions that can be asked by a desktop administrator in a large or distributed firm: Where are the Java RIAs that our users need? Which RIA needs which Java version? Which users need which Java versions? How do I verify these answers once I have them? The guided deployment rule set creation uses usage tracker data to identify applications both by certificate hash and location. After creating the rules, a comparison tool exists to verify them against the tracked data: If you intend to run an RIA, is it green? If something specific should be blocked, is it red? This makes user-testing easier. MSI Installer The Windows Installer format (MSI) provides a number of benefits for desktop administrators that customize or manage software at scale. Unlike the basic installer that most users obtain from Java.com or OTN, this installer is built around customization and integration with various desktop management products like SCCM. Desktop administrators using the MSI installer can use every feature provided by the format, such as silent installs/upgrades, low-privileged installations, or self-repair capabilities Customers looking for Java SE Advanced can download the MSI installer through their My Oracle Support (MOS) account. Java SE Advanced The new features in Java SE Advanced make it easier for desktop administrators to identify and control client installations at scale. Administrators at organizations that want either the tools or associated commercial support should consider Java SE Advanced.

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  • Oracle Tutor: Installing Is Not Implementing or Why CIO's should care about End User Adoption

    - by emily.chorba(at)oracle.com
    Eighteen months ago I showed Tutor and UPK Productive Day One overview to a CIO friend of mine. He works in a manufacturing business which had been recently purchased by a global conglomerate. He had a major implementation coming up, but said that the corporate team would be coming in to handle the project. I asked about their end user training approach, but it was unclear to him at the time. We were in touch over the course of the implementation project. The major activities were data conversion, how-to workshops, General Ledger realignment, and report definition. The message was "Here's how we do it at corporate, and here's how you are going to do it." In short, it was an application software installation. The corporate team had experience and confidence and the effort through go-live was smooth. Some weeks after cutover, problems with customer orders began to surface. Orders could not be fulfilled in a timely fashion. The problem got worse, and the corporate emergency team was called in. After many days of analysis, the issue was tracked down and resolved, but by then there were weeks of backorders, and their customer base was impacted in a significant way. It took three months of constant handholding of customers by the sales force for good will to be reestablished, and this itself diminished a new product sales push. I learned of these results in a recent conversation with the CIO. I asked him what the solution to the problem was, and he replied that it was twofold. The first component was a lack of understanding by customer service reps about how a particular data item in order entry was to be filled in, resulting in discrepant order data. The second component was that product planners were using this data, along with data from other sources, to fill in a spreadsheet based on the abandoned system. This spreadsheet was the primary input for planning data. The result of these two inaccuracies was that key parts were not being ordered to effectively meet demand and the lead time for finished goods was pushed out by weeks. I reminded him about the Productive Day One approach, and it's focus on methodology and tools for end user training. A more collaborative solution workshop would have identified proper applications use in the new environment. Using UPK to document correct transaction entry would have provided effective guidelines to the CSRs for data entry. Using Oracle Tutor to document the manual tasks would have eliminated the use of an out of date spreadsheet. As we talked this over, he said, "I wish I knew when I started what I know now." Effective end user adoption is the most critical and most overlooked success factor in applications implementations. When the switch is thrown at go-live, employees need to know how to use the new systems to do their jobs. Their jobs are made up of manual steps and systems steps which must be performed in the right order for the implementing organization to operate smoothly. Use Tutor to document the manual policies and procedures, use UPK to document the systems tasks, and develop this documentation in conjunction with a solution workshop. This is the path to develop effective end user training material for a smooth implementation. Learn More For more information about Tutor, visit Oracle.com or the Tutor Blog. Post your questions at the Tutor Forum. Chuck Jones, Product Manager, Oracle Tutor and BPM

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  • Live Event: OTN Architect Day: Cloud Computing - Two weeks and counting

    - by Bob Rhubart
    In just two weeks architects and others will gather at the Oracle Conference Center in Redwood Shores, CA for the first Oracle Technology Network Architect Day event of 2013. This event focuses on Cloud Computing, and features sessions specifically focused on real-world examples of the implementation of cloud computing. When: Tuesday July 9, 2013              8:30am - 12:30pm Where: Oracle Conference Center              350 Oracle Pkwy              Redwood City, CA 94065 Register now. It's free! Here's the agenda: 8:30am - 9:00am Registration and Continental Breakfast 9:00am - 9:45am Keynote 21st Century IT | Dr. James Baty VP, Global Enterprise Architecture Program, Oracle Imagine a time long, long ago. A time when servers were certified and dedicated to specific applications, when anything posted on an enterprise web site was from restricted, approved channels, and when we tried to limit the growth of 'dirty' data and storage. Today, applications are services running in the muti-tenant hybrid cloud. Companies beg their customers to tweet them, friend them, and publicly rate their products. And constantly analyzing a deluge of Internet, social and sensor data is the key to creating the next super-successful product, or capturing an evil terrorist. The old IT architecture was planned, dedicated, stable, controlled, with separate and well-defined roles. The new architecture is shared, dynamic, continuous, XaaS, DevOps. This keynote session describes the challenges and opportunities that the new business / IT paradigms present to the IT architecture and architects. 9:45am - 10:30am Technical Session Oracle Cloud: A Case Study in Building a Cloud | Anbu Krishnaswami Enterprise Architect, Oracle Building a Cloud can be challenging thanks to the complex requirements unique to Cloud computing and the massive scale typically associated with Cloud. Cloud providers can take an Infrastructure as a Service (IaaS) approach and build a cloud on virtualized commodity hardware, or they can take the Platform as a Service (PaaS) path, a service-oriented approach based on pre-configured, integrated, engineered systems. This presentation uses the Oracle Cloud itself as a case study in the use of engineered systems, demonstrating how the technical design of engineered systems is leveraged for building PaaS and SaaS Cloud services and a Cloud management infrastructure. The presentation will also explore the principles, patterns, best practices, and architecture views provided in Oracle's Cloud reference architecture. 10:30 am -10:45 am Break 10:45am-11:30am Technical Session Database as a Service | Michael Timpanaro-Perrotta Director, Product Management, Oracle Database Cloud New applications are now commonly built in a Cloud model, where the database is consumed as a service, and many established business processes are beginning to migrate to database as a service (DBaaS). This adoption of DBaaS is made possible by the availability of new capabilities in the database that enable resource pooling, dynamic resource management, model-based provisioning, metered use, and effective quality-of-service controls. This session will examine the catalog of database services at a large commercial bank to understand how these capabilities are enabling DBaaS for a wide range of needs within the enterprise. 11:30 am - 12:00 pm Panel Q&A Dr. James Baty, Anbu Krishnaswami, and Michael Timpanaro-Perrotta respond to audience questions. Registration is free, but seating is limited, so register now.

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  • Live Event: OTN Architect Day: Cloud Computing - Two weeks and counting

    - by Bob Rhubart
    In just two weeks architects and others will gather at the Oracle Conference Center in Redwood Shores, CA for the first Oracle Technology Network Architect Day event of 2013. This event focuses on Cloud Computing, and features sessions specifically focused on real-world examples of the implementation of cloud computing. When: Tuesday July 9, 2013              8:30am - 12:30pm Where: Oracle Conference Center              350 Oracle Pkwy              Redwood City, CA 94065 Register now. It's free! Here's the agenda: 8:30am - 9:00am Registration and Continental Breakfast 9:00am - 9:45am Keynote 21st Century IT | Dr. James Baty VP, Global Enterprise Architecture Program, Oracle Imagine a time long, long ago. A time when servers were certified and dedicated to specific applications, when anything posted on an enterprise web site was from restricted, approved channels, and when we tried to limit the growth of 'dirty' data and storage. Today, applications are services running in the muti-tenant hybrid cloud. Companies beg their customers to tweet them, friend them, and publicly rate their products. And constantly analyzing a deluge of Internet, social and sensor data is the key to creating the next super-successful product, or capturing an evil terrorist. The old IT architecture was planned, dedicated, stable, controlled, with separate and well-defined roles. The new architecture is shared, dynamic, continuous, XaaS, DevOps. This keynote session describes the challenges and opportunities that the new business / IT paradigms present to the IT architecture and architects. 9:45am - 10:30am Technical Session Oracle Cloud: A Case Study in Building a Cloud | Anbu Krishnaswami Enterprise Architect, Oracle Building a Cloud can be challenging thanks to the complex requirements unique to Cloud computing and the massive scale typically associated with Cloud. Cloud providers can take an Infrastructure as a Service (IaaS) approach and build a cloud on virtualized commodity hardware, or they can take the Platform as a Service (PaaS) path, a service-oriented approach based on pre-configured, integrated, engineered systems. This presentation uses the Oracle Cloud itself as a case study in the use of engineered systems, demonstrating how the technical design of engineered systems is leveraged for building PaaS and SaaS Cloud services and a Cloud management infrastructure. The presentation will also explore the principles, patterns, best practices, and architecture views provided in Oracle's Cloud reference architecture. 10:30 am -10:45 am Break 10:45am-11:30am Technical Session Database as a Service | Michael Timpanaro-Perrotta Director, Product Management, Oracle Database Cloud New applications are now commonly built in a Cloud model, where the database is consumed as a service, and many established business processes are beginning to migrate to database as a service (DBaaS). This adoption of DBaaS is made possible by the availability of new capabilities in the database that enable resource pooling, dynamic resource management, model-based provisioning, metered use, and effective quality-of-service controls. This session will examine the catalog of database services at a large commercial bank to understand how these capabilities are enabling DBaaS for a wide range of needs within the enterprise. 11:30 am - 12:00 pm Panel Q&A Dr. James Baty, Anbu Krishnaswami, and Michael Timpanaro-Perrotta respond to audience questions. Registration is free, but seating is limited, so register now.

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  • Expanding the Partner Ecosystem with Third-Party Plug-ins

    - by Joe Diemer
    Oracle Enterprise Manager’s extensibility capabilities are designed to allow customers and partners to adapt Enterprise Manager for management of heterogeneous environments with Plug-ins and Connectors.  Third-party developers continue to take advantage of Oracle Enterprise Manager’s Extensibility Development Kit (EDK) to build plug-ins to Enterprise Manager 12c, such as F5’s BIG IP Plug-in and Entuity’s Eye of the Storm Network Management Plug-In.  Partners can also validate their plug-ins through the Oracle Validated Integration (OVI) program, which assures customers that the plug-in has been tested and is functionally and technically sound, is designed in a reliable and standardized manner, and operates and performs as documented.   Two very recent examples of partners which have beta versions of their plug-ins are Blue Medora's VMware vSphere plug-in and the NetApp Storage plug-in.  VMware vSphere Plug-in by Blue Medora Blue Medora, an Oracle Partner Network (OPN) “Gold” member, which just announced that it is now signing up customers to try a beta version of their new VMware vSphere plug-in for Enterprise Manager 12c.  According to Blue Medora, the vSphere plug-in monitors critical VMware metrics (CPU, Memory, Disk, Network, etc) at the Host, VM, Cluster and Resource Pool levels.  It has minimal performance impact via an “agentless” approach that requires no installation directly on VMware servers.  It has discovery capabilities for VMware Datacenters, ESX Hosts, Clusters, Virtual Machines, and Datastores.  It offers integration of native VMware Events into Enterprise Manager, and it provides over 300 VMware-related health, availability, performance, and configuration metrics.  It comes with more than 30 out-of-the-box pre-defined thresholds and can manage VMware via a series of jobs split between cluster, host and VM target types.The company reports that the Enterprise Manager 12c plug-in supports vSphere versions 4.0, 4.5 and 5.0.  Platforms supported include Linux 64-bit, Windows, AIX and Solaris SPARC and x86.  Information about the plug-in, including how to sign up for the beta, is available at their web site at http://bluemedora.com after selecting the "Products" tab. NetApp Storage Plug-in NetApp believes the combination of storage system monitoring with comprehensive management of Oracle systems with Enterprise Manager will help customers reduce the cost and complexity of managing applications that rely on NetApp storage and Oracle technologies.  So, NetApp built a plug-in and reports that it has comprehensive availability and performance information for NetApp storage systems.  Using the plug-in, Oracle Enterprise Manager customers with NetApp storage solutions can track the association between databases and storage components and thereby respond to faults and IO performance bottlenecks quickly. With the latest configuration management capabilities, one can also perform drift analysis to make sure all storage systems are configured as per established gold standards. The company is also now signing up beta customers, which can be done at the NetApp Communities site at https://communities.netapp.com/groups/netapp-storage-system-plug-in-for-oem12c-beta. Learn More about Enterprise Manager Extensibility More plug-ins from other partners are soon to come, which I'll be reporting on them here.  To learn more about Enterprise Manager and how customers and partners can build plug-ins using the EDK to manage a multi-vendor data center, go to http://oracle.com/enterprisemanager in the Heterogeneous Management solution area.  The site also lists the plug-ins available with information on how to obtain them.  More info about the Oracle Validated Integration program can be found at the OPN Enterprise Manager Knowledge Zone in the "Develop" tab.

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  • My Dog, Cross-Channel Shopping, and Fusion SCM

    - by Kathryn Perry
    A guest post by Mark Carson, Director, Oracle Fusion Supply Chain Management I was walking my dog Max in an open space behind my house. As we tromped through the tall weeds I remembered it is tick season and that I should get Max some protection. While he sniffed merrily in the tick infested brush, I started shopping in the middle of an open field on my phone. I thought it would be convenient to pick up the tick medicine from a pet store on the way home. Searching the pet store website I saw that they had the medicine, but there was no information on whether the store had any in stock and there were no options for shipping it to the store for pickup. I could return it, but not pick it up which seamed kind of odd. I really didn't feel like making calls to the local stores to find out if they had it. Since the product is popular, I tried one of the large 'everything' stores. Browsing its website I could see that it could be shipped to me, shipped to the store for free, and that the store nearest to me had it in stock. Needless to say, this store became a better option. This experience is a small example of why retailers, distributors, and manufactures have placed a high priority on enabling 'cross-channel commerce.' Shoppers like you and me expect to be able to search, compare, buy and return products on-line and over the phone using a variety of devices including PDAs, tablets and in-store kiosks. The pet store lost my business because its web channel had limited information about its stores. I have spoken with many customers and prospects about cross-channel commerce. They all realize the business implications and urgency behind cross-channel commerce but recognize there are challenges to enable it. New and existing applications must be integrated together globally through a consistent cross-channel business process. Integration is required between applications that provide the initial shopping experience and delivery applications associated with warehouses, stores, and partners. The enablement must be accomplished in a flexible way to react to fast-changing product portfolios and new acquisitions, while at the same time minimizing costs through reuse of existing systems. Meanwhile, the business must continue to grow and decision makers need to balance new capability with peak seasons. The challenges above are not unique to retail. Any customer in any industry who has multiple points for capturing orders and multiple points for fulfilling orders will face these challenges. With this in mind, we had a unique opportunity in Fusion SCM to re-think how to build a set of modular and flexible applications in the order management space that would make these challenges easier to conquer. The results are Fusion Distributed Order Orchestration and Global Order Promising. These applications can help companies, such as the pet store, enable true cross-channel commerce. The apps provide highly adaptable and flexible business processes to automate order orchestration across multiple cross-channel systems. They also show a global view of supply across warehouses, stores, and partners for real-time availability and more accurate order promising. Additional capability includes a standards-based integration framework for seamless execution and the ability to reuse existing systems for faster and lower cost implementations. OK, that was a mouthful of features and benefits. As Max waited to cross the street (he can do basic math too), I wondered if he could relate. He does not care about leash laws, pick-up courtesy, where he can/can't walk, what time of day it is, or even ticks. He does not care about how all these things could make walking complicated. He just wants to walk. Similarly, customers just want to shop and companies just want to make it easier to sell and deliver. You can learn more about Distributed Order Orchestration and Global Order Promising in cross-channel here.

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  • Oracle MDM Maturity Model

    - by David Butler
    A few weeks ago, I discussed the results of a survey conducted by Oracle’s Insight team. The survey was based on the data management maturity model that the Oracle Insight team has developed over the years as they analyzed customer IT organizations to help them get more out of everything they already have. I thought you might like to learn more about the maturity model itself. It can help you figure out where you stand when it comes to getting your organizations data management act together. The model covers maturity levels around five key areas: Profiling data sources; Defining a data strategy; Defining a data consolidation plan; Data maintenance; and Data utilization. Profile data sources: Profiling data sources involves taking an inventory of all data sources from across your IT landscape. Then evaluate the quality of the data in each source system. This enables the scoping of what data to collect into an MDM hub and what rules are needed to insure data harmonization across systems. Define data strategy: A data strategy requires an understanding of the data usage. Given data usage, various data governance requirements need to be developed. This includes data controls and security rules as well as data structure and usage policies. Define data consolidation strategy: Consolidation requires defining your operational data model. How integration is to be accomplished. Cross referencing common data attributes from multiple systems is needed. Synchronization policies also need to be developed. Data maintenance: The desired standardization needs to be defined, including what constitutes a ‘match’ once the data has been standardized. Cleansing rules are a part of this methodology. Data quality monitoring requirements also need to be defined. Utilize the data: What data gets published, and who consumes the data must be determined. How to get the right data to the right place in the right format given its intended use must be understood. Validating the data and insuring security rules are in place and enforced are crucial aspects for full no-risk data utilization. For each of the above data management areas, a maturity level needs to be assessed. Where your organization wants to be should also be identified using the same maturity levels. This results in a sound gap analysis your organization can use to create action plans to achieve the ultimate goals. Marginal is the lowest level. It is characterized by manually maintaining trusted sources; lacking or inconsistent, silo’d structures with limited integration, and gaps in automation. Stable is the next leg up the MDM maturity staircase. It is characterized by tactical MDM implementations that are limited in scope and target a specific division.  It includes limited data stewardship capabilities as well. Best Practice is a serious MDM maturity level characterized by process automation improvements. The scope is enterprise wide. It is a business solution that provides a single version of the truth, with closed-loop data quality capabilities. It is typically driven by an enterprise architecture group with both business and IT representation.   Transformational is the highest MDM maturity level. At this level, MDM is quantitatively managed. It is integrated with Business Intelligence, SOA, and BPM. MDM is leveraged in business process orchestration. Take an inventory using this MDM Maturity Model and see where you are in your journey to full MDM maturity with all the business benefits that accrue to organizations who have mastered their data for the benefit of all operational applications, business processes, and analytical systems. To learn more, Trevor Naidoo and I have written the Oracle MDM Maturity Model whitepaper. It’s free, so go ahead and download it and use it as you see fit.

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  • Organization &amp; Architecture UNISA Studies &ndash; Chap 6

    - by MarkPearl
    Learning Outcomes Discuss the physical characteristics of magnetic disks Describe how data is organized and accessed on a magnetic disk Discuss the parameters that play a role in the performance of magnetic disks Describe different optical memory devices Magnetic Disk The way data is stored on and retried from magnetic disks Data is recorded on and later retrieved form the disk via a conducting coil named the head (in many systems there are two heads) The writ mechanism exploits the fact that electricity flowing through a coil produces a magnetic field. Electric pulses are sent to the write head, and the resulting magnetic patterns are recorded on the surface below with different patterns for positive and negative currents The physical characteristics of a magnetic disk   Summarize from book   The factors that play a role in the performance of a disk Seek time – the time it takes to position the head at the track Rotational delay / latency – the time it takes for the beginning of the sector to reach the head Access time – the sum of the seek time and rotational delay Transfer time – the time it takes to transfer data RAID The rate of improvement in secondary storage performance has been considerably less than the rate for processors and main memory. Thus secondary storage has become a bit of a bottleneck. RAID works on the concept that if one disk can be pushed so far, additional gains in performance are to be had by using multiple parallel components. Points to note about RAID… RAID is a set of physical disk drives viewed by the operating system as a single logical drive Data is distributed across the physical drives of an array in a scheme known as striping Redundant disk capacity is used to store parity information, which guarantees data recoverability in case of a disk failure (not supported by RAID 0 or RAID 1) Interesting to note that the increase in the number of drives, increases the probability of failure. To compensate for this decreased reliability RAID makes use of stored parity information that enables the recovery of data lost due to a disk failure.   The RAID scheme consists of 7 levels…   Category Level Description Disks Required Data Availability Large I/O Data Transfer Capacity Small I/O Request Rate Striping 0 Non Redundant N Lower than single disk Very high Very high for both read and write Mirroring 1 Mirrored 2N Higher than RAID 2 – 5 but lower than RAID 6 Higher than single disk Up to twice that of a signle disk for read Parallel Access 2 Redundant via Hamming Code N + m Much higher than single disk Highest of all listed alternatives Approximately twice that of a single disk Parallel Access 3 Bit interleaved parity N + 1 Much higher than single disk Highest of all listed alternatives Approximately twice that of a single disk Independent Access 4 Block interleaved parity N + 1 Much higher than single disk Similar to RAID 0 for read, significantly lower than single disk for write Similar to RAID 0 for read, significantly lower than single disk for write Independent Access 5 Block interleaved parity N + 1 Much higher than single disk Similar to RAID 0 for read, lower than single disk for write Similar to RAID 0 for read, generally  lower than single disk for write Independent Access 6 Block interleaved parity N + 2 Highest of all listed alternatives Similar to RAID 0 for read; lower than RAID 5 for write Similar to RAID 0 for read, significantly lower than RAID 5  for write   Read page 215 – 221 for detailed explanation on RAID levels Optical Memory There are a variety of optical-disk systems available. Read through the table on page 222 – 223 Some of the devices include… CD CD-ROM CD-R CD-RW DVD DVD-R DVD-RW Blue-Ray DVD Magnetic Tape Most modern systems use serial recording – data is lade out as a sequence of bits along each track. The typical recording used in serial is referred to as serpentine recording. In this technique when data is being recorded, the first set of bits is recorded along the whole length of the tape. When the end of the tape is reached the heads are repostioned to record a new track, and the tape is again recorded on its whole length, this time in the opposite direction. That process continued back and forth until the tape is full. To increase speed, the read-write head is capable of reading and writing a number of adjacent tracks simultaneously. Data is still recorded serially along individual tracks, but blocks in sequence are stored on adjacent tracks as suggested. A tape drive is a sequential access device. Magnetic tape was the first kind of secondary memory. It is still widely used as the lowest-cost, slowest speed member of the memory hierarchy.

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  • Customers Discuss: Real-World Operational Reporting with Oracle GoldenGate

    - by Irem Radzik
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* 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-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} As businesses leverage business intelligence and analytics for day-to-day decision making, operational reporting solutions become more and more common. While some companies can use their production OLTP system for running operational reports, for many it is too much overhead and performance impact for transaction processing systems.  Oracle GoldenGate’s real-time data integration capabilities enable companies to create a real-time replica of their OLTP systems, dedicated for operational reporting. This instance can be optimized for the reports needed as well such as containing only the tables needed from the source. Oracle GoldenGate has certified solutions for many Oracle applications such as EBusiness Suite, Peoplesoft, JD Edwards, to offload operational reporting to another reporting server that has real-time data feeding from the production system. At Oracle OpenWorld we will be hearing from a panel of Oracle GoldenGate customers how they deployed GoldenGate for operational reporting. Comcast, Turk Telekom, and Raymond James will be sharing their experiences and the benefits achieved when implementing GoldenGate’s solution. If you have performance degradation in your production systems due to reporting or ad-hoc queries, and you will be at OpenWorld, don’t miss this informative session: Real-World Operational Reporting with Oracle GoldenGate: Customer Panel-- Tuesday Oct 2nd 11:45am Mascone West 3005. For other data integration sessions at OpenWorld, please check our Focus-On document.  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* 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-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} If you cannot attend OpenWorld, please check out related white paper “Using Oracle GoldenGate to Achieve Operational Reporting for Oracle Applications” to learn more.

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  • Taking HRMS to the Cloud to Simplify Human Resources Management

    - by HCM-Oracle
    By Anke Mogannam With human capital management (HCM) a top-of-mind issue for executives in every industry, human resources (HR) organizations are poised to have their day in the sun—proving not just their administrative worth but their strategic value as well.  To make good on that promise, however, HR must modernize. Indeed, if HR is to act as an agent of change—providing the swift reallocation of employees  and the rapid absorption of employee data required for enterprises to shift course on a dime—it must first deal with the disruptive change at its own front door. And increasingly, that means choosing the right technology and human resources management system (HRMS) for managing the entire employee lifecycle. Unfortunately, for most organizations, this task has proved easier said than done. This is because while much has been written about advances in HRMS technology, until recently, most of those advances took the form of disparate on-premises solutions designed to serve very specific purposes. Although this may have resulted in key competencies in certain areas, it also meant that processes for core HR functions like payroll and benefits were being carried out in separate systems from those used for talent management, workforce optimization, training, and so on. With no integration—and no single system of record—processes were disconnected, ease of use was impeded, user experience was diminished, and vital data was left untapped.  Today, however, that scenario has begun to change, and end-to-end cloud-based HCM solutions have moved from wished-for innovations to real-life solutions. Why, then, have HR organizations been so slow in adopting them? The answer—it would seem—is, “It’s complicated.” So complicated, in fact, that 45 percent of the respondents to PwC’s “Annual HR Technology Survey” (for 2013) reported having no formal HR software roadmap, and 40 percent stated that they “did not know” whether their organizations would be increasing their use of cloud or software as a service (SaaS) for HR.  Clearly, HR organizations need help sorting through the morass of HR software options confronting them. But just as clearly, there’s an enormous opportunity awaiting those that do. The trick will come in charting a course that allows HR to leverage existing technology while investing in the cloud-based solutions that will deliver the end-to-end processes, easy-to-understand analytics, and superior adaptability required to simplify—and add value to—every aspect of employee management. The Opportunity therefore is to cut costs, drive Innovation, and increase engagement by moving to cloud-based HCM.  Then you will benefit from one Interface, leverage many access points, and  gain at-a-glance insight across your entire workforce. With many legacy on-premises HR systems not being efficient anymore and cloud-based, integrated systems that span the range of HR functions finally reaching maturity, the time is ripe for moving core HR to the cloud. Indeed, for the first time ever there are more HRMS replacement initiatives than HRMS upgrade initiatives under way, and the majority of them involve moving to the cloud per Cedar Crestone’s 2013-2014 HRMS survey. To learn how you can launch your own cloud HCM initiative and begin using HR to power the enterprise, visit Oracle HRMS in the Cloud and Oracle’s new customer 2 cloud program. Anke Mogannam brings more than 16 years of marketing and human capital management experience in the technology industries to her role at Oracle where she is part of the Human Capital Management applications marketing team. In that role, Anke drives content marketing, messaging, go-to-market activities, integrated marketing campaigns, and field enablement. Prior to joining Oracle, Anke held several roles in communications, marketing, HCM product strategy and product management at PeopleSoft, SAP, Workday and Saba. Follow her on Twitter @amogannam

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  • Replicating between Cloud and On-Premises using Oracle GoldenGate

    - by Ananth R. Tiru
    Do you have applications running on the cloud that you need to connect with the on premises systems. The most likely answer to this question is an astounding YES!  If so, then you understand the importance of keep the data fresh at all times across the cloud and on-premises environments. This is also one of the key focus areas for the new GoldenGate 12c release which we announced couple of week ago via a press release. Most enterprises have spent years avoiding the data “silos” that inhibit productivity. For example, an enterprise which has adopted a CRM strategy could be relying on an on-premises based marketing application used for developing and nurturing leads. At the same time it could be using a SaaS based Sales application to create opportunities and quotes. The sales and the marketing teams which use these systems need to be able to access and share the data in a reliable and cohesive way. This example can be extended to other applications areas such as HR, Supply Chain, and Finance and the demands the users place on getting a consistent view of the data. When it comes to moving data in hybrid environments some of the key requirements include minimal latency, reliability and security: Data must remain fresh. As data ages it becomes less relevant and less valuable—day-old data is often insufficient in today’s competitive landscape. Reliability must be guaranteed despite system or connectivity issues that can occur between the cloud and on-premises instances. Security is a key concern when replicating between cloud and on-premises instances. There are several options to consider when replicating between the cloud and on-premises instances. Option 1 – Secured network established between the cloud and on-premises A secured network is established between the cloud and on-premises which enables the applications (including replication software) running on the cloud and on-premises to have seamless connectivity to other applications irrespective of where they are physically located. Option 2 – Restricted network established between the cloud and on-premises A restricted network is established between the cloud and on-premises instances which enable certain ports (required by replication) be opened on both the cloud and on the on-premises instances and white lists the IP addresses of the cloud and on-premises instances. Option 3 – Restricted network access from on-premises and cloud through HTTP proxy This option can be considered when the ports required by the applications (including replication software) are not open and the cloud instance is not white listed on the on-premises instance. This option of tunneling through HTTP proxy may be only considered when proper security exceptions are obtained. Oracle GoldenGate Oracle GoldenGate is used for major Fortune 500 companies and other industry leaders worldwide to support mission-critical systems for data availability and integration. Oracle GoldenGate addresses the requirements for ensuring data consistency between cloud and on-premises instances, thus facilitating the business process to run effectively and reliably. The architecture diagram below illustrates the scenario where the cloud and the on-premises instance are connected using GoldenGate through a secured network In the above scenario, Oracle GoldenGate is installed and configured on both the cloud and the on-premises instances. On the cloud instance Oracle GoldenGate is installed and configured on the machine where the database instance can be accessed. Oracle GoldenGate can be configured for unidirectional or bi-directional replication between the cloud and on premises instances. The specific configuration details of Oracle GoldenGate processes will depend upon the option selected for establishing connectivity between the cloud and on-premises instances. The knowledge article (ID - 1588484.1) titled ' Replicating between Cloud and On-Premises using Oracle GoldenGate' discusses in detail the options for replicating between the cloud and on-premises instances. The article can be found on My Oracle Support. To learn more about Oracle GoldenGate 12c register for our launch webcast where we will go into these new features in more detail.   You may also want to download our white paper "Oracle GoldenGate 12c Release 1 New Features Overview" I would love to hear your requirements for replicating between on-premises and cloud instances, as well as your comments about the strategy discussed in the knowledge article to address your needs. Please post your comments in this blog or in the Oracle GoldenGate public forum - https://forums.oracle.com/community/developer/english/business_intelligence/system_management_and_integration/goldengate

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  • ARTS Reference Model for Retail

    - by Sanjeev Sharma
    Consider a hypothetical scenario where you have been tasked to set up retail operations for a electronic goods or daily consumables or a luxury brand etc. It is very likely you will be faced with the following questions: What are the essential business capabilities that you must have in place?  What are the essential business activities under-pinning each of the business capabilities, identified in Step 1? What are the set of steps that you need to perform to execute each of the business activities, identified in Step 2? Answers to the above will drive your investments in software and hardware to enable the core retail operations. More importantly, the choices you make in responding to the above questions will several implications in the short-run and in the long-run. In the short-term, you will incur the time and cost of defining your technology requirements, procuring the software/hardware components and getting them up and running. In the long-term, as you grow in operations organically or through M&A, partnerships and franchiser business models  you will invariably need to make more technology investments to manage the greater complexity (scale and scope) of business operations.  "As new software applications, such as time & attendance, labor scheduling, and POS transactions, just to mention a few, are introduced into the store environment, it takes a disproportionate amount of time and effort to integrate them with existing store applications. These integration projects can add up to 50 percent to the time needed to implement a new software application and contribute significantly to the cost of the overall project, particularly if a systems integrator is called in. This has been the reality that all retailers have had to live with over the last two decades. The effect of the environment has not only been to increase costs, but also to limit retailers' ability to implement change and the speed with which they can do so." (excerpt taken from here) Now, one would think a lot of retailers would have already gone through the pain of finding answers to these questions, so why re-invent the wheel? Precisely so, a major effort began almost 17 years ago in the retail industry to make it less expensive and less difficult to deploy new technology in stores and at the retail enterprise level. This effort is called the Association for Retail Technology Standards (ARTS). Without standards such as those defined by ARTS, you would very likely end up experiencing the following: Increased Time and Cost due to resource wastage arising from re-inventing the wheel i.e. re-creating vanilla processes from scratch, and incurring, otherwise avoidable, mistakes and errors by ignoring experience of others Sub-optimal Process Efficiency due to narrow, isolated view of processes thereby ignoring process inter-dependencies i.e. optimizing parts but not the whole, and resulting in lack of transparency and inter-departmental finger-pointing Embracing ARTS standards as a blue-print for establishing or managing or streamlining your retail operations can benefit you in the following ways: Improved Time-to-Market from parity with industry best-practice processes e.g. ARTS, thus avoiding “reinventing the wheel” for common retail processes and focusing more on customizing processes for differentiations, and lowering integration complexity and risk with a standardized vocabulary for exchange between internal and external i.e. partner systems Lower Operating Costs by embracing the ARTS enterprise-wide process reference model for developing and streamlining retail operations holistically instead of a narrow, silo-ed view, and  procuring IT systems in compliance with ARTS thus avoiding IT budget marginalization While parity with industry standards such as ARTS business process model by itself does not create a differentiation, it does however provide a higher starting point for bridging the strategy-execution gap in setting up and improving retail operations.

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  • The long road to bug-free software

    - by Tony Davis
    The past decade has seen a burgeoning interest in functional programming languages such as Haskell or, in the Microsoft world, F#. Though still on the periphery of mainstream programming, functional programming concepts are gradually seeping into the imperative C# language (for example, Lambda expressions have their root in functional programming). One of the more interesting concepts from functional programming languages is the use of formal methods, the lofty ideal behind which is bug-free software. The idea is that we write a specification that describes exactly how our function (say) should behave. We then prove that our function conforms to it, and in doing so have proved beyond any doubt that it is free from bugs. All programmers already use one form of specification, specifically their programming language's type system. If a value has a specific type then, in a type-safe language, the compiler guarantees that value cannot be an instance of a different type. Many extensions to existing type systems, such as generics in Java and .NET, extend the range of programs that can be type-checked. Unfortunately, type systems can only prevent some bugs. To take a classic problem of retrieving an index value from an array, since the type system doesn't specify the length of the array, the compiler has no way of knowing that a request for the "value of index 4" from an array of only two elements is "unsafe". We restore safety via exception handling, but the ideal type system will prevent us from doing anything that is unsafe in the first place and this is where we start to borrow ideas from a language such as Haskell, with its concept of "dependent types". If the type of an array includes its length, we can ensure that any index accesses into the array are valid. The problem is that we now need to carry around the length of arrays and the values of indices throughout our code so that it can be type-checked. In general, writing the specification to prove a positive property, even for a problem very amenable to specification, such as a simple sorting algorithm, turns out to be very hard and the specification will be different for every program. Extend this to writing a specification for, say, Microsoft Word and we can see that the specification would end up being no simpler, and therefore no less buggy, than the implementation. Fortunately, it is easier to write a specification that proves that a program doesn't have certain, specific and undesirable properties, such as infinite loops or accesses to the wrong bit of memory. If we can write the specifications to prove that a program is immune to such problems, we could reuse them in many places. The problem is the lack of specification "provers" that can do this without a lot of manual intervention (i.e. hints from the programmer). All this might feel a very long way off, but computing power and our understanding of the theory of "provers" advances quickly, and Microsoft is doing some of it already. Via their Terminator research project they have started to prove that their device drivers will always terminate, and in so doing have suddenly eliminated a vast range of possible bugs. This is a huge step forward from saying, "we've tested it lots and it seems fine". What do you think? What might be good targets for specification and verification? SQL could be one: the cost of a bug in SQL Server is quite high given how many important systems rely on it, so there's a good incentive to eliminate bugs, even at high initial cost. [Many thanks to Mike Williamson for guidance and useful conversations during the writing of this piece] Cheers, Tony.

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  • College Ratings via the Federal Government

    - by user9147039
    A few weeks back you might remember news about a higher education rating system proposal from the Obama administration. As I've discussed previously, political and stakeholder pressures to improve outcomes and increase transparency are stronger than ever before. The executive branch proposal is intended to make progress in this area. Quoting from the proposal itself, "The ratings will be based upon such measures as: Access, such as percentage of students receiving Pell grants; Affordability, such as average tuition, scholarships, and loan debt; and Outcomes, such as graduation and transfer rates, graduate earnings, and advanced degrees of college graduates.” This is going to be quite complex, to say the least. Most notably, higher ed is not monolithic. From community and other 2-year colleges, to small private 4-year, to professional schools, to large public research institutions…the many walks of higher ed life are, well, many. Designing a ratings system that doesn't wind up with lots of unintended consequences and collateral damage will be difficult. At best you would end up potentially tarnishing the reputation of certain institutions that were actually performing well against the metrics and outcome measures that make sense in their "context" of education. At worst you could spend a lot of time and resources designing a system that would lose credibility with its "customers". A lot of institutions I work with already have in place systems like the one described above. They are tracking completion rates, completion timeframes, transfers to other institutions, job placement, and salary information. As I talk to these institutions there are several constants worth noting: • Deciding on which metrics to measure is complicated. While employment and salary data are relatively easy to track, qualitative measures are more difficult. How do you quantify the benefit to someone who studies in one field that may not compensate him or her as well as another field but that provides huge personal fulfillment and reward is a difficult measure to quantify? • The data is available but the systems to transform the data into actual information that can be used in meaningful ways are not. Too often in higher ed information is siloed. As such, much of the data that need to be a part of a comprehensive system sit in multiple organizations, oftentimes outside the reach of core IT. • Politics and culture are big barriers. One of the areas that my team and I spend a lot of time talking about with higher ed institutions all over the world is the imperative to optimize for student success. This, like the tracking of the students’ achievement after graduation, requires a level or organizational capacity that does not currently exist. The primary barrier is the culture of "data islands" in higher ed, and the need for leadership to drive out the divisions between departments, schools, colleges, etc. and institute academy-wide analytics and data stewardship initiatives that will enable student success. • Data quality is a very big issue. So many disparate systems exist (some on premise, some "in the cloud") that keep data about "persons" using different means to identify them. Establishing a single source of truth about an individual and his or her data is difficult without some type of data quality policy and tools. Good tools actually exist but are seldom leveraged. Don't misunderstand - I think it's a great idea to drive additional transparency and accountability into the system of higher education. And not just at home, but globally. Students and parents need access to key data to make informed, responsible choices. The tools exist to not only enable this kind of information to be shared but to capture the very metrics stakeholders care most about and in a way that makes sense in the context of a given institution's "place" in the overall higher ed panoply.

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  • The long road to bug-free software

    - by Tony Davis
    The past decade has seen a burgeoning interest in functional programming languages such as Haskell or, in the Microsoft world, F#. Though still on the periphery of mainstream programming, functional programming concepts are gradually seeping into the imperative C# language (for example, Lambda expressions have their root in functional programming). One of the more interesting concepts from functional programming languages is the use of formal methods, the lofty ideal behind which is bug-free software. The idea is that we write a specification that describes exactly how our function (say) should behave. We then prove that our function conforms to it, and in doing so have proved beyond any doubt that it is free from bugs. All programmers already use one form of specification, specifically their programming language's type system. If a value has a specific type then, in a type-safe language, the compiler guarantees that value cannot be an instance of a different type. Many extensions to existing type systems, such as generics in Java and .NET, extend the range of programs that can be type-checked. Unfortunately, type systems can only prevent some bugs. To take a classic problem of retrieving an index value from an array, since the type system doesn't specify the length of the array, the compiler has no way of knowing that a request for the "value of index 4" from an array of only two elements is "unsafe". We restore safety via exception handling, but the ideal type system will prevent us from doing anything that is unsafe in the first place and this is where we start to borrow ideas from a language such as Haskell, with its concept of "dependent types". If the type of an array includes its length, we can ensure that any index accesses into the array are valid. The problem is that we now need to carry around the length of arrays and the values of indices throughout our code so that it can be type-checked. In general, writing the specification to prove a positive property, even for a problem very amenable to specification, such as a simple sorting algorithm, turns out to be very hard and the specification will be different for every program. Extend this to writing a specification for, say, Microsoft Word and we can see that the specification would end up being no simpler, and therefore no less buggy, than the implementation. Fortunately, it is easier to write a specification that proves that a program doesn't have certain, specific and undesirable properties, such as infinite loops or accesses to the wrong bit of memory. If we can write the specifications to prove that a program is immune to such problems, we could reuse them in many places. The problem is the lack of specification "provers" that can do this without a lot of manual intervention (i.e. hints from the programmer). All this might feel a very long way off, but computing power and our understanding of the theory of "provers" advances quickly, and Microsoft is doing some of it already. Via their Terminator research project they have started to prove that their device drivers will always terminate, and in so doing have suddenly eliminated a vast range of possible bugs. This is a huge step forward from saying, "we've tested it lots and it seems fine". What do you think? What might be good targets for specification and verification? SQL could be one: the cost of a bug in SQL Server is quite high given how many important systems rely on it, so there's a good incentive to eliminate bugs, even at high initial cost. [Many thanks to Mike Williamson for guidance and useful conversations during the writing of this piece] Cheers, Tony.

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  • java distributed cache for low latency, high availability

    - by Shahbaz
    I've never used distributed caches/DHTs like memcached, jboss cache, ehcache, etc. I'm wondering which, if any, is appropriate for my use. First, I'm not doing web applications (as most of these project seem to be geared towards web apps). I write servers (Order Management Systems actually) for financial trading firms. The servers themselves are not too complicated. They need to receive information (market data, orders, executions, etc.) rout them to their destination while possibly transforming some of these messages. I am looking at these products to solve the following problems: * Safe repository of the state of the server. I'd rather build the logic of my application as a bunch of transformers (similar to Apache Camel) and store the state in a 'safe' place * This repository should be distributed: in case one of these data stores crashes, one or two more should be up and I should be able to switch to them seamlessly * This repository should be fast. Single digits milliseconds count here, in other words, systems which consume/process this data are automated systems, not humans clicking on links. This system needs to have high-throughput and low latency. By sending my data outside the process, I am necessarily slowing performance, but I am trying to balance absolute raw speed and absolute protection of data. * This repository should be safe. Similar to the point about several on-line backups, this system needs to write data to disk (potentially more than one disk). I'd really like to stop writing my own 'transaction servers.' Am I correct to be looking into projects such as jboss cache, ehcache, etc.? Thanks

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  • Linux System Programming

    - by AJ
    I wanted to get into systems programming for linux and wanted to know how to approach that and where to begin. I come from a web development background (Python, PHP) but I also know some C and C++. Essentially, I would like to know: Which language(s) to learn and pursue (I think mainly C and C++)? How/Where to learn those languages specific to Systems Programming? Books, websites, blogs, tutorials etc. Any other good places where I can start this from basics? Any good libraries to begin with? What environment setup (or approx.) do I need? Assuming linux has to be there but I have a linux box which I rarely log into using GUI (always use SSH). Is GUI a lot more helpful or VI editor is enough? (Please let me know if this part of the question should go to serverfault.com) PS: Just to clarify, by systems programming I mean things like writing device drivers, System tools, write native applications which are not present on Linux platform but are on others, play with linux kernel etc.

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  • TCL tDom Empty XML Tag

    - by pws5068
    I'm using tDom to loop through some XML and pull out each element's text(). set xml { <systems> <object> <type>Hardware</type> <name>Server Name</name> <attributes> <vendor></vendor> </attributes> </object> <object> <type>Hardware</type> <name>Server Two Name</name> <attributes> <vendor></vendor> </attributes> </object> </systems> }; set doc [dom parse $xml] set root [$doc documentElement] set nodeList [$root selectNodes /systems/object] foreach node $nodeList { set nType [$node selectNodes type/text()] set nName [$node selectNodes name/text()] set nVendor [$node selectNodes attributes/vendor/text()] # Etc... puts "Type: " puts [$nType data] # Etc .. puts [$nVendor data] } But when it tries to print out the Vendor, which is empty, it thows the error invalid command name "". How can I ignore this and just set $nVendor to an empty string?

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  • What would it take to get auto-revert-mode to actually work in my dired buffer?

    - by Cheeso
    Apparently auto-revert-mode is supposed to work in dired buffers. I had never heard of this, but the doc says it works. Then I read a little more and found some fine print: Auto-reverting Dired buffers currently works on GNU or Unix style operating systems. It may not work satisfactorily on some other systems. ...and... [dired buffers] do not auto-revert when information about a particular file changes (e.g. when the size changes) or when inserted subdirectories change. To be sure that all listed information is up to date, you have to manually revert using g, even if auto-reverting is enabled in the Dired buffer. source Well, uh, gee.... That doesn't sound like autorevert to me. What would it take to get auto-revert for dired to actually work? Even on (gasp) non-Unix operating systems. Could I just modify auto-revert-handler to call revert-buffer on dired buffers?

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