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  • What is the BCSI-CS-**** cookie for?

    - by Joanne Wellings
    I'm undertaking an audit of the cookies we use on our external sites. There's one cookie that's used by all the sites, and by different domains within the sites. It starts BCSI-CS- and has random numbers and letters. It's the same cookie on different PCs on our network. Our own sites use it and Bing Maps, Google Analytics and Google Maps on our sites use it. This cookie does not seem to appear on PCs not on our network. We've figured that it's a cookie that our proxy server uses and therefore only an internal cookie, not one that our external site users will encounter. However, googling that cookie shows a lot of sites have listed a similar cookie in their "About our cookies" page with the same BCSI-CS prefix. Would we be right in thinking that these sites have got it wrong, that they don't have to list this cookie? After all, when I visit these sites, the cookie that they have listed does not appear on my PC. Can anyone confirm this, or explain what the BCSI-CS cookie actually is?

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  • HTML5 video tag with multiple bitrate videos?

    - by Joanne
    I have MP4 video files encoding at different bitrate to be compatible for both iOS on Wifi and Edge connection. I would like to have them progressive loaded form my website using HTML5 video tag. video_big.mp4 encoded for iOS on Wifi H.264 Baseline, 25fps, 640x480, 500kbps video_small.mp4 encoded for iOS on Edge/3G H.264 Baseline, 25fps, 320x240, 56kbps My question is: How can I write the HTML5 video tag to serve video_big.mp4 to iOS devices that connected through Wifi, and serve video_small.mp4 to iOS devices that connected through Edge/3G? I'm running on PHP/Apache server. Thank you :)

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  • Has the role of the Business Analyst become redundant on true Agile projects?

    - by Joanne
    On a truely agile project where the business is performing the role of the product owner, is there still a role for the Business Analyst? The product owner would do the functional testing as soon as the user story is developed and document and prioritise the user stories. In this case which I must add I haven't experienced yet and with high performing, self motivated developers I am struggling to see the role of the traditional business analyst?

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  • Oracle is #1 in the RDBMS Sector for 2011

    - by jgelhaus
    Gartner 2011 Worldwide RDBMS Market Share Reports 48.8% revenue share for Oracle (*) Gartner has published their market share numbers for 2011 based on total software revenues.  According to Gartner, Oracle: is #1 in worldwide RDBMS software revenue share holds more revenue share than its seven closest competitors combined grew at 18.0%, exceeding both the industry average (16.3%) and the growth rates of its closest competitors. (*) Source: Market Share: All Software Markets, Worldwide 2011 by Colleen Graham, Joanne Correia, David Coyle, Fabrizio Biscotti, Matthew Cheung, Ruggero Contu, Yanna Dharmasthira, Tom Eid, Chad Eschinger, Bianca Granetto, Hai Hong Swinehart, Sharon Mertz, Chris Pang, Asheesh Raina, Dan Sommer, Bhavish Sood, Marianne D'Aquila, Laurie Wurster and Jie Zhang. - March 29, 2012

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  • The Arab HEUG is now a reality, and other random thoughts

    - by user9147039
    I just returned from Doha, Qatar where the first of its kind HEUG (Higher Education User Group) meeting for institutions in the Middle East and North Africa was held at Qatar University and jointly hosted by Damman University from Saudi Arabia. Over 80 delegates attended including representation from education institutions in Oman, Saudi Arabia, Lebanon, and Qatar. There are many other regional HEUG organizations in place (in Australia/New Zealand, APAC, EMEA, as well as smaller regional HEUG’s in the Netherlands, South Africa, and in regions of the US), but it was truly an accomplishment to see this Middle East/North Africa group organize and launch their chapter with a meeting of this quality. To be known as the Arab HEUG going forward, I am excited about the prospects for sharing between the institutions and for the growth of Oracle solutions in the region. In particular the hosts for the event (Qatar University) did a masterful job with logistics and organization, and the quality of the event was a testament to their capabilities. Among the more interesting and enlightening presentations I attended were one from Dammam University on the lessons learned from their implementation of Campus Solutions and transition off of Banner, as well as the use by Qatar University E-business Suite for grants management (both pre-and post-award). The most notable fact coming from this latter presentation was the fit (89%) of e-Business Suite Grants to the university’s requirements. In a few weeks time we will be convening the 5th meeting of the Oracle Education & Research Industry Strategy Council in Redwood Shores (5th since my advent into my current role). The main topics of discussion will be around our Higher Education Applications Strategy for the future (including cloud approaches to ERP (HCM, Finance, and Student Information Systems), how some cases studies on the benefits of leveraging delivered functionality and extensibility in the software (versus customization). On the second day of the event we will turn our attention to Oracle in Research and also budgeting and planning in higher education. Both of these sessions will include significant participation from council members in the form of panel discussions. Our EVP’s for Systems (John Fowler) and for Global Cloud Services and North America application sales (Joanne Olson) will join us for the discussion. I recently read a couple of articles that were surprising to me. The first was from Inside Higher Ed on October 15 entitled, “As colleges prepare for major software upgrades, Kuali tries to woo them from corporate vendors.” It continues to disappointment that after all this time we are still debating whether it is better to build enterprise software through open or community source initiatives when fully functional, flexible, supported, and widely adopted options exist in the marketplace. Over a decade or more ago when these solutions were relatively immature and there was a great deal of turnover in the market I could appreciate the initiatives like Kuali. But let’s not kid ourselves – the real objective of this movement is to counter a perceived predatory commercial software industry. Again, when commercial solutions are deployed as written without significant customization, and standard business processes are adopted, the cost of these solutions (relative to the value delivered) is quite low, and certain much lower than the massive investment (and risk) in in-house developers to support a bespoke community source system. In this era of cost pressures in education and the need to refocus resources on teaching, learning, and research, I believe it’s bordering on irresponsible to continue to pursue open-source ERP. Many of the adopter’s total costs are staggering and have little to show for their efforts and expended resources. The second article was recently in the Chronicle of Higher Education and was entitled “’Big Data’ Is Bunk, Obama Campaign’s Tech Guru Tells University Leaders.” This one was so outrageous I almost don’t want to legitimize it by referencing it here. In the article the writer relays statements made by Harper Reed, President Obama’s former CTO for his 2012 re-election campaign, that big data solutions in education have no relevance and are akin to snake oil. He goes on to state that while he’s a fan of data-driven decision making in education, most of the necessary analysis can be accomplished in Excel spreadsheets. Yeah… right. This is exactly what ails education (higher education in particular). Dozens of shadow and siloed systems running on spreadsheets with limited-to-no enterprise wide initiatives to harness the data-rich environment that is a higher ed institution and transform the data into useable information. I’ll grant Mr. Reed that “Big Data” is overused and hackneyed, but imperatives like improving student success in higher education are classic big data problems that data-mining and predictive analytics can address. Further, higher ed need to be producing a massive amount more data scientists and analysts than are currently in the pipeline, to further this discipline and application of these tools to many many other problems across multiple industries.

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  • Base de Datos Oracle, su mejor opción para reducir costos de IT

    - by Ivan Hassig
    Por Victoria Cadavid Sr. Sales Cosultant Oracle Direct Uno de los principales desafíos en la administración de centros de datos es la reducción de costos de operación. A medida que las compañías crecen y los proveedores de tecnología ofrecen soluciones cada vez más robustas, conservar el equilibrio entre desempeño, soporte al negocio y gestión del Costo Total de Propiedad es un desafío cada vez mayor para los Gerentes de Tecnología y para los Administradores de Centros de Datos. Las estrategias más comunes para conseguir reducción en los costos de administración de Centros de Datos y en la gestión de Tecnología de una organización en general, se enfocan en la mejora del desempeño de las aplicaciones, reducción del costo de administración y adquisición de hardware, reducción de los costos de almacenamiento, aumento de la productividad en la administración de las Bases de Datos y mejora en la atención de requerimientos y prestación de servicios de mesa de ayuda, sin embargo, las estrategias de reducción de costos deben contemplar también la reducción de costos asociados a pérdida y robo de información, cumplimiento regulatorio, generación de valor y continuidad del negocio, que comúnmente se conciben como iniciativas aisladas que no siempre se adelantan con el ánimo de apoyar la reducción de costos. Una iniciativa integral de reducción de costos de TI, debe contemplar cada uno de los factores que  generan costo y pueden ser optimizados. En este artículo queremos abordar la reducción de costos de tecnología a partir de la adopción del que según los expertos es el motor de Base de Datos # del mercado.Durante años, la base de datos Oracle ha sido reconocida por su velocidad, confiabilidad, seguridad y capacidad para soportar cargas de datos tanto de aplicaciones altamente transaccionales, como de Bodegas de datos e incluso análisis de Big Data , ofreciendo alto desempeño y facilidades de administración, sin embrago, cuando pensamos en proyectos de reducción de costos de IT, además de la capacidad para soportar aplicaciones (incluso aplicaciones altamente transaccionales) con alto desempeño, pensamos en procesos de automatización, optimización de recursos, consolidación, virtualización e incluso alternativas más cómodas de licenciamiento. La Base de Datos Oracle está diseñada para proveer todas las capacidades que un área de tecnología necesita para reducir costos, adaptándose a los diferentes escenarios de negocio y a las capacidades y características de cada organización.Es así, como además del motor de Base de Datos, Oracle ofrece una serie de soluciones para optimizar la administración de la información a través de mecanismos de optimización del uso del storage, continuidad del Negocio, consolidación de infraestructura, seguridad y administración automática, que propenden por un mejor uso de los recursos de tecnología, ofrecen opciones avanzadas de configuración y direccionan la reducción de los tiempos de las tareas operativas más comunes. Una de las opciones de la base de datos que se pueden provechar para reducir costos de hardware es Oracle Real Application Clusters. Esta solución de clustering permite que varios servidores (incluso servidores de bajo costo) trabajen en conjunto para soportar Grids o Nubes Privadas de Bases de Datos, proporcionando los beneficios de la consolidación de infraestructura, los esquemas de alta disponibilidad, rápido desempeño y escalabilidad por demanda, haciendo que el aprovisionamiento, el mantenimiento de las bases de datos y la adición de nuevos nodos se lleve e cabo de una forma más rápida y con menos riesgo, además de apalancar las inversiones en servidores de menor costo. Otra de las soluciones que promueven la reducción de costos de Tecnología es Oracle In-Memory Database Cache que permite almacenar y procesar datos en la memoria de las aplicaciones, permitiendo el máximo aprovechamiento de los recursos de procesamiento de la capa media, lo que cobra mucho valor en escenarios de alta transaccionalidad. De este modo se saca el mayor provecho de los recursos de procesamiento evitando crecimiento innecesario en recursos de hardware. Otra de las formas de evitar inversiones innecesarias en hardware, aprovechando los recursos existentes, incluso en escenarios de alto crecimiento de los volúmenes de información es la compresión de los datos. Oracle Advanced Compression permite comprimir hasta 4 veces los diferentes tipos de datos, mejorando la capacidad de almacenamiento, sin comprometer el desempeño de las aplicaciones. Desde el lado del almacenamiento también se pueden conseguir reducciones importantes de los costos de IT. En este escenario, la tecnología propia de la base de Datos Oracle ofrece capacidades de Administración Automática del Almacenamiento que no solo permiten una distribución óptima de los datos en los discos físicos para garantizar el máximo desempeño, sino que facilitan el aprovisionamiento y la remoción de discos defectuosos y ofrecen balanceo y mirroring, garantizando el uso máximo de cada uno de los dispositivos y la disponibilidad de los datos. Otra de las soluciones que facilitan la administración del almacenamiento es Oracle Partitioning, una opción de la Base de Datos que permite dividir grandes tablas en estructuras más pequeñas. Esta aproximación facilita la administración del ciclo de vida de la información y permite por ejemplo, separar los datos históricos (que generalmente se convierten en información de solo lectura y no tienen un alto volumen de consulta) y enviarlos a un almacenamiento de bajo costos, conservando la data activa en dispositivos de almacenamiento más ágiles. Adicionalmente, Oracle Partitioning facilita la administración de las bases de datos que tienen un gran volumen de registros y mejora el desempeño de la base de datos gracias a la posibilidad de optimizar las consultas haciendo uso únicamente de las particiones relevantes de una tabla o índice en el proceso de búsqueda. Otros factores adicionales, que pueden generar costos innecesarios a los departamentos de Tecnología son: La pérdida, corrupción o robo de datos y la falta de disponibilidad de las aplicaciones para dar soporte al negocio. Para evitar este tipo de situaciones que pueden acarrear multas y pérdida de negocios y de dinero, Oracle ofrece soluciones que permiten proteger y auditar la base de datos, recuperar la información en caso de corrupción o ejecución de acciones que comprometan la integridad de la información y soluciones que permitan garantizar que la información de las aplicaciones tenga una disponibilidad de 7x24. Ya hablamos de los beneficios de Oracle RAC, para facilitar los procesos de Consolidación y mejorar el desempeño de las aplicaciones, sin embrago esta solución, es sumamente útil en escenarios dónde las organizaciones de quieren garantizar una alta disponibilidad de la información, ante fallo de los servidores o en eventos de desconexión planeada para realizar labores de mantenimiento. Además de Oracle RAC, existen soluciones como Oracle Data Guard y Active Data Guard que permiten replicar de forma automática las bases de datos hacia un centro de datos de contingencia, permitiendo una recuperación inmediata ante eventos que deshabiliten por completo un centro de datos. Además de lo anterior, Active Data Guard, permite aprovechar la base de datos de contingencia para realizar labores de consulta, mejorando el desempeño de las aplicaciones. Desde el punto de vista de mejora en la seguridad, Oracle cuenta con soluciones como Advanced security que permite encriptar los datos y los canales a través de los cueles se comparte la información, Total Recall, que permite visualizar los cambios realizados a la base de datos en un momento determinado del tiempo, para evitar pérdida y corrupción de datos, Database Vault que permite restringir el acceso de los usuarios privilegiados a información confidencial, Audit Vault, que permite verificar quién hizo qué y cuándo dentro de las bases de datos de una organización y Oracle Data Masking que permite enmascarar los datos para garantizar la protección de la información sensible y el cumplimiento de las políticas y normas relacionadas con protección de información confidencial, por ejemplo, mientras las aplicaciones pasan del ambiente de desarrollo al ambiente de producción. Como mencionamos en un comienzo, las iniciativas de reducción de costos de tecnología deben apalancarse en estrategias que contemplen los diferentes factores que puedan generar sobre costos, los factores de riesgo que puedan acarrear costos no previsto, el aprovechamiento de los recursos actuales, para evitar inversiones innecesarias y los factores de optimización que permitan el máximo aprovechamiento de las inversiones actuales. Como vimos, todas estas iniciativas pueden ser abordadas haciendo uso de la tecnología de Oracle a nivel de Base de Datos, lo más importante es detectar los puntos críticos a nivel de riesgo, diagnosticar las proporción en que están siendo aprovechados los recursos actuales y definir las prioridades de la organización y del área de IT, para así dar inicio a todas aquellas iniciativas que de forma gradual, van a evitar sobrecostos e inversiones innecesarias, proporcionando un mayor apoyo al negocio y un impacto significativo en la productividad de la organización. Más información http://www.oracle.com/lad/products/database/index.html?ssSourceSiteId=otnes 1Fuente: Market Share: All Software Markets, Worldwide 2011 by Colleen Graham, Joanne Correia, David Coyle, Fabrizio Biscotti, Matthew Cheung, Ruggero Contu, Yanna Dharmasthira, Tom Eid, Chad Eschinger, Bianca Granetto, Hai Hong Swinehart, Sharon Mertz, Chris Pang, Asheesh Raina, Dan Sommer, Bhavish Sood, Marianne D'Aquila, Laurie Wurster and Jie Zhang. - March 29, 2012 2Big Data: Información recopilada desde fuentes no tradicionales como blogs, redes sociales, email, sensores, fotografías, grabaciones en video, etc. que normalmente se encuentran de forma no estructurada y en un gran volumen

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  • How Mature is Your Database Change Management Process?

    - by Ben Rees
    .dbd-banner p{ font-size:0.75em; padding:0 0 10px; margin:0 } .dbd-banner p span{ color:#675C6D; } .dbd-banner p:last-child{ padding:0; } @media ALL and (max-width:640px){ .dbd-banner{ background:#f0f0f0; padding:5px; color:#333; margin-top: 5px; } } -- Database Delivery Patterns & Practices Further Reading Organization and team processes How do you get your database schema changes live, on to your production system? As your team of developers and DBAs are working on the changes to the database to support your business-critical applications, how do these updates wend their way through from dev environments, possibly to QA, hopefully through pre-production and eventually to production in a controlled, reliable and repeatable way? In this article, I describe a model we use to try and understand the different stages that customers go through as their database change management processes mature, from the very basic and manual, through to advanced continuous delivery practices. I also provide a simple chart that will help you determine “How mature is our database change management process?” This process of managing changes to the database – which all of us who have worked in application/database development have had to deal with in one form or another – is sometimes known as Database Change Management (even if we’ve never used the term ourselves). And it’s a difficult process, often painfully so. Some developers take the approach of “I’ve no idea how my changes get live – I just write the stored procedures and add columns to the tables. It’s someone else’s problem to get this stuff live. I think we’ve got a DBA somewhere who deals with it – I don’t know, I’ve never met him/her”. I know I used to work that way. I worked that way because I assumed that making the updates to production was a trivial task – how hard can it be? Pause the application for half an hour in the middle of the night, copy over the changes to the app and the database, and switch it back on again? Voila! But somehow it never seemed that easy. And it certainly was never that easy for database changes. Why? Because you can’t just overwrite the old database with the new version. Databases have a state – more specifically 4Tb of critical data built up over the last 12 years of running your business, and if your quick hotfix happened to accidentally delete that 4Tb of data, then you’re “Looking for a new role” pretty quickly after the failed release. There are a lot of other reasons why a managed database change management process is important for organisations, besides job security, not least: Frequency of releases. Many business managers are feeling the pressure to get functionality out to their users sooner, quicker and more reliably. The new book (which I highly recommend) Lean Enterprise by Jez Humble, Barry O’Reilly and Joanne Molesky provides a great discussion on how many enterprises are having to move towards a leaner, more frequent release cycle to maintain their competitive advantage. It’s no longer acceptable to release once per year, leaving your customers waiting all year for changes they desperately need (and expect) Auditing and compliance. SOX, HIPAA and other compliance frameworks have demanded that companies implement proper processes for managing changes to their databases, whether managing schema changes, making sure that the data itself is being looked after correctly or other mechanisms that provide an audit trail of changes. We’ve found, at Red Gate that we have a very wide range of customers using every possible form of database change management imaginable. Everything from “Nothing – I just fix the schema on production from my laptop when things go wrong, and write it down in my notebook” to “A full Continuous Delivery process – any change made by a dev gets checked in and recorded, fully tested (including performance tests) before a (tested) release is made available to our Release Management system, ready for live deployment!”. And everything in between of course. Because of the vast number of customers using so many different approaches we found ourselves struggling to keep on top of what everyone was doing – struggling to identify patterns in customers’ behavior. This is useful for us, because we want to try and fit the products we have to different needs – different products are relevant to different customers and we waste everyone’s time (most notably, our customers’) if we’re suggesting products that aren’t appropriate for them. If someone visited a sports store, looking to embark on a new fitness program, and the store assistant suggested the latest $10,000 multi-gym, complete with multiple weights mechanisms, dumb-bells, pull-up bars and so on, then he’s likely to lose that customer. All he needed was a pair of running shoes! To solve this issue – in an attempt to simplify how we understand our customers and our offerings – we built a model. This is a an attempt at trying to classify our customers in to some sort of model or “Customer Maturity Framework” as we rather grandly term it, which somehow simplifies our understanding of what our customers are doing. The great statistician, George Box (amongst other things, the “Box” in the Box-Jenkins time series model) gave us the famous quote: “Essentially all models are wrong, but some are useful” We’ve taken this quote to heart – we know it’s a gross over-simplification of the real world of how users work with complex legacy and new database developments. Almost nobody precisely fits in to one of our categories. But we hope it’s useful and interesting. There are actually a number of similar models that exist for more general application delivery. We’ve found these from ThoughtWorks/Forrester, from InfoQ and others, and initially we tried just taking these models and replacing the word “application” for “database”. However, we hit a problem. From talking to our customers we know that users are far less further down the road of mature database change management than they are for application development. As a simple example, no application developer, who wants to keep his/her job would develop an application for an organisation without source controlling that code. Sure, he/she might not be using an advanced Gitflow branching methodology but they’ll certainly be making sure their code gets managed in a repo somewhere with all the benefits of history, auditing and so on. But this certainly isn’t the case (yet) for the database – a very large segment of the people we speak to have no source control set up for their databases whatsoever, even at the most basic level (for example, keeping change scripts in a source control system somewhere). By the way, if this is you, Red Gate has a great whitepaper here, on the barriers people face getting a source control process implemented at their organisations. This difference in maturity is the same as you move in to areas such as continuous integration (common amongst app developers, relatively rare for database developers) and automated release management (growing amongst app developers, very rare for the database). So, when we created the model we started from scratch and biased the levels of maturity towards what we actually see amongst our customers. But, what are these stages? And what level are you? The table below describes our definitions for four levels of maturity – Baseline, Beginner, Intermediate and Advanced. As I say, this is a model – you won’t fit any of these categories perfectly, but hopefully one will ring true more than others. We’ve also created a PDF with a flow chart to help you find which of these groups most closely matches your team:  Download the Database Delivery Maturity Framework PDF here   Level D1 – Baseline Work directly on live databases Sometimes work directly in production Generate manual scripts for releases. Sometimes use a product like SQL Compare or similar to do this Any tests that we might have are run manually Level D2 – Beginner Have some ad-hoc DB version control such as manually adding upgrade scripts to a version control system Attempt is made to keep production in sync with development environments There is some documentation and planning of manual deployments Some basic automated DB testing in process Level D3 – Intermediate The database is fully version-controlled with a product like Red Gate SQL Source Control or SSDT Database environments are managed Production environment schema is reproducible from the source control system There are some automated tests Have looked at using migration scripts for difficult database refactoring cases Level D4 – Advanced Using continuous integration for database changes Build, testing and deployment of DB changes carried out through a proper database release process Fully automated tests Production system is monitored for fast feedback to developers   Does this model reflect your team at all? Where are you on this journey? We’d be very interested in knowing how you get on. We’re doing a lot of work at the moment, at Red Gate, trying to help people progress through these stages. For example, if you’re currently not source controlling your database, then this is a natural next step. If you are already source controlling your database, what about the next stage – continuous integration and automated release management? To help understand these issues, there’s a summary of the Red Gate Database Delivery learning program on our site, alongside a Patterns and Practices library here on Simple-Talk and a Training Academy section on our documentation site to help you get up and running with the tools you need to progress. All feedback is welcome and it would be great to hear where you find yourself on this journey! This article is part of our database delivery patterns & practices series on Simple Talk. Find more articles for version control, automated testing, continuous integration & deployment.

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  • Oracle bleibt auch 2011 Spitzenreiter im Bereich Datenbanken

    - by Anne Manke
    Mit der Veröffentlichung der aktuellen Ausgabe "Market Share: All Software Markets, Worldwide 2011" bestätigt das weltweit führende Marktanalyseunternehmen Gartner Oracle's Marktführerschaft im Bereich der Relationellen Datenbank Management Systeme (RDBMS). Oracle konnte innerhalb des letzten Jahres seinen Abstand zu seinen Marktbegleitern im Bereich der RDBMS mit einem stabilen Wachstum von 18% sogar ausbauen: der Marktanteil stieg im Jahr 2010 von 48,2% auf 48,8% im Jahr 2011. Damit ist der Abstand zu Oracle's stärkstem Verfolger IBM auf 28,6%.   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:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0cm; 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; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableLightListAccent2 {mso-style-name:"Light List - Accent 2"; mso-tstyle-rowband-size:1; mso-tstyle-colband-size:1; mso-style-priority:61; mso-style-unhide:no; border:solid #C0504D 1.0pt; mso-border-themecolor:accent2; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; 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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableLightListAccent2FirstRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:first-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-shading:#C0504D; mso-tstyle-shading-themecolor:accent2; mso-para-margin-top:0cm; mso-para-margin-bottom:0cm; mso-para-margin-bottom:.0001pt; line-height:normal; color:white; mso-themecolor:background1; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2LastRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:last-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:2.25pt double #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2; mso-para-margin-top:0cm; mso-para-margin-bottom:0cm; mso-para-margin-bottom:.0001pt; line-height:normal; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2FirstCol {mso-style-name:"Light List - Accent 2"; mso-table-condition:first-column; mso-style-priority:61; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2LastCol {mso-style-name:"Light List - Accent 2"; mso-table-condition:last-column; mso-style-priority:61; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2OddColumn {mso-style-name:"Light List - Accent 2"; mso-table-condition:odd-column; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2;} table.MsoTableLightListAccent2OddRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:odd-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2;} Revenue 2010 ($USM) Revenue 2011 ($USM) Growth 2010 Growth 2011 Share 2010 Share 2011 Oracle 9,990.5 11,787.0 10.9% 18.0% 48.2% 48.8% IBM 4,300.4 4,870.4 5.4% 13.3% 20.7% 20.2% Microsoft 3,641.2 4,098.9 10.1% 12.6% 17.6% 17.0% SAP/Sybase 744.4 1,101.1 12.8% 47.9% 3.6% 4.6% Teradata 754.7 882.3 16.9% 16.9% 3.6% 3.7% Source: Gartner’s “Market Share: All Software Markets, Worldwide 2011,” March 29, 2012, By Colleen Graham, Joanne Correia, David Coyle, Fabrizio Biscotti, Matthew Cheung, Ruggero Contu, Yanna Dharmasthira, Tom Eid, Chad Eschinger, Bianca Granetto, Hai Hong Swinehart, Sharon Mertz, Chris Pang, Asheesh Raina, Dan Sommer, Bhavish Sood, Marianne D'Aquila, Laurie Wurster and Jie 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:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0cm; 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; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableLightListAccent2 {mso-style-name:"Light List - Accent 2"; mso-tstyle-rowband-size:1; mso-tstyle-colband-size:1; mso-style-priority:61; mso-style-unhide:no; border:solid #C0504D 1.0pt; mso-border-themecolor:accent2; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; 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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableLightListAccent2FirstRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:first-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-shading:#C0504D; mso-tstyle-shading-themecolor:accent2; mso-para-margin-top:0cm; mso-para-margin-bottom:0cm; mso-para-margin-bottom:.0001pt; line-height:normal; color:white; mso-themecolor:background1; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2LastRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:last-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:2.25pt double #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2; mso-para-margin-top:0cm; mso-para-margin-bottom:0cm; mso-para-margin-bottom:.0001pt; line-height:normal; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2FirstCol {mso-style-name:"Light List - Accent 2"; mso-table-condition:first-column; mso-style-priority:61; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2LastCol {mso-style-name:"Light List - Accent 2"; mso-table-condition:last-column; mso-style-priority:61; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2OddColumn {mso-style-name:"Light List - Accent 2"; mso-table-condition:odd-column; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2;} table.MsoTableLightListAccent2OddRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:odd-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2;} 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:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0cm; 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; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableLightListAccent2 {mso-style-name:"Light List - Accent 2"; mso-tstyle-rowband-size:1; mso-tstyle-colband-size:1; mso-style-priority:61; mso-style-unhide:no; border:solid #C0504D 1.0pt; mso-border-themecolor:accent2; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; 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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableLightListAccent2FirstRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:first-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-shading:#C0504D; mso-tstyle-shading-themecolor:accent2; mso-para-margin-top:0cm; mso-para-margin-bottom:0cm; mso-para-margin-bottom:.0001pt; line-height:normal; color:white; mso-themecolor:background1; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2LastRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:last-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:2.25pt double #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2; mso-para-margin-top:0cm; mso-para-margin-bottom:0cm; mso-para-margin-bottom:.0001pt; line-height:normal; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2FirstCol {mso-style-name:"Light List - Accent 2"; mso-table-condition:first-column; mso-style-priority:61; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2LastCol {mso-style-name:"Light List - Accent 2"; mso-table-condition:last-column; mso-style-priority:61; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2OddColumn {mso-style-name:"Light List - Accent 2"; mso-table-condition:odd-column; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2;} table.MsoTableLightListAccent2OddRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:odd-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2;}

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  • In Flex, how to drag a component into a column of DataGrid (not the whole DataGrid)?

    - by Yousui
    Hi guys, I have a custom component: <?xml version="1.0" encoding="utf-8"?> <s:Group xmlns:fx="http://ns.adobe.com/mxml/2009" xmlns:s="library://ns.adobe.com/flex/spark" xmlns:mx="library://ns.adobe.com/flex/mx"> <fx:Declarations> </fx:Declarations> <fx:Script> <![CDATA[ [Bindable] public var label:String = "don't know"; [Bindable] public var imageName:String = "x.gif"; ]]> </fx:Script> <s:HGroup paddingLeft="8" paddingTop="8" paddingRight="8" paddingBottom="8"> <mx:Image id="img" source="assets/{imageName}" /> <s:Label text="{label}"/> </s:HGroup> </s:Group> and a custom render, which will be used in my DataGrid: <?xml version="1.0" encoding="utf-8"?> <s:MXDataGridItemRenderer xmlns:fx="http://ns.adobe.com/mxml/2009" xmlns:s="library://ns.adobe.com/flex/spark" xmlns:mx="library://ns.adobe.com/flex/mx" focusEnabled="true" xmlns:components="components.*"> <s:VGroup> <components:Person label="{dataGridListData.label}"> </components:Person> </s:VGroup> </s:MXDataGridItemRenderer> This is my application: <?xml version="1.0" encoding="utf-8"?> <s:Application xmlns:fx="http://ns.adobe.com/mxml/2009" xmlns:s="library://ns.adobe.com/flex/spark" xmlns:mx="library://ns.adobe.com/flex/mx" minWidth="955" minHeight="600" xmlns:services="services.*"> <s:layout> <s:VerticalLayout/> </s:layout> <fx:Script> <![CDATA[ import mx.collections.ArrayCollection; import mx.controls.Alert; import mx.controls.Image; import mx.rpc.events.ResultEvent; import mx.utils.ArrayUtil; ]]> </fx:Script> <fx:Declarations> <fx:XMLList id="employees"> <employee> <name>Christina Coenraets</name> <phone>555-219-2270</phone> <email>[email protected]</email> <active>true</active> <image>assets/001.png</image> </employee> <employee> <name>Joanne Wall</name> <phone>555-219-2012</phone> <email>[email protected]</email> <active>true</active> <image>assets/002.png</image> </employee> <employee> <name>Maurice Smith</name> <phone>555-219-2012</phone> <email>[email protected]</email> <active>false</active> <image>assets/003.png</image> </employee> <employee> <name>Mary Jones</name> <phone>555-219-2000</phone> <email>[email protected]</email> <active>true</active> <image>assets/004.png</image> </employee> </fx:XMLList> </fx:Declarations> <s:HGroup> <mx:DataGrid dataProvider="{employees}" width="100%" dropEnabled="true"> <mx:columns> <mx:DataGridColumn headerText="Employee Name" dataField="name"/> <mx:DataGridColumn headerText="Email" dataField="email"/> <mx:DataGridColumn headerText="Image" dataField="image" itemRenderer="renderers.render1"/> </mx:columns> </mx:DataGrid> <s:List dragEnabled="true" dragMoveEnabled="false"> <s:dataProvider> <s:ArrayCollection> <fx:String>aaa</fx:String> <fx:String>bbb</fx:String> <fx:String>ccc</fx:String> <fx:String>ddd</fx:String> </s:ArrayCollection> </s:dataProvider> </s:List> </s:HGroup> </s:Application> Now what I want to do is let the user drag an one or more item from the left List component and drop at the third column of the DataGrid, then using the dragged data to create another <components:Person /> object. So in the final result, maybe the first line contains just one <components:Person /> object at the third column, the second line contains two <components:Person /> object at the third column and so on. Can this be implemented in Flex? How? Great thanks.

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