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• Tech Article: Oracle ADF Essentials - Testing with Selenium

  - by OracleTechnologyNetwork

  How to use Selenium and JUnit together to build unit tests that test Web UIs.

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• Oracle ADF Mobile is Now Available!

  - by Michelle Kimihira

  We are happy to announce availability of Oracle ADF Mobile, part of Oracle ADF (Application Development Framework). Oracle ADF is an HTML5 & Java-based framework that enables developers to build and deploy to iOS and Android devices from one application code base. By using open standards like HTML5 for a cross-platform consistent interface and Java for the application logic, companies can readily leverage existing skill and resources to develop mobile applications for iOS and Android.  There’s no need to learn a new platform specific programming language for each device.  With Oracle ADF Mobile -  you simply write once, deploy to many! Read the press release here.     On Wednesday, we will be featuring a blog on developing mobile applications and exploring the different options: Web, Native, or Hybrid. Additional Information Blog: ADF Blog Product Information on OTN: ADF Mobile Product Information on Oracle.com: Oracle Fusion Middleware Follow us on Twitter and Facebook Subscribe to our regular Fusion Middleware Newsletter

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• Announcing the ADF Architecture Square at OOW12

  - by Chris Muir

  The ADF product management team are happy to announce at Oracle Open World the publication of the ADF Architecture Square: Over the last number of years Oracle has recognized that many customers have matured their ADF skills and are now looking for information on advanced concepts beyond the how-do-I-get-this-poplist-to-work type questions.  In order to satisfy this demand we've devised the ADF Architecture Square where papers, presentations and demos will consider such broad software engineering concepts as ADF architecture, development and testing, building and deployment, and infrastructure.   If you have a look at the site right now it's a rather modest affair, but we hope to continue to expand the content to give further guidance and information to help shortcut your ADF project needs.  Either watch the website or follow our dedicated @adfarchsquare twitter feed.

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• Dynamically changing DVT Graph at Runtime

  - by mona.rakibe(at)oracle.com

  I recently came across this requirement where the customer wanted to change the graph type at run-time based on some selection. After some internal discussions we realized this can be best achieved by using af:switcher to toggle between multiple graphs. In this blog I will be sharing the sample that I build to demonstrate this.[Note] : In the below sample, every-time user changes graph type there is a server trip, so please use this approach with performance implications in mind.This sample can be downloaded  from DynamicGraph.zipSet-up: Create a BAM data control using employees DO (sample)(Refer this entry)Steps:Create the View Create a new JSF page .From component palette drag and drop "Select One Radio" into this page Enter some Label and click "Finish"In Property Editor set the "AutoSubmit" property to trueNow drag and drop "Switcher" from components into this page.In the Structure pane select the af:switcher right click and surround with "PanelGroupLayout"In Property Editor set the "PartialTriggers"  property of PanelGroupLayout to the id of af:selectOneRadioAgain in the Structure pane select the af:switcher right click and select "Insert inside af:switcher->facet"Enter Facet name (ex: pie)Again in the Structure pane select the af:switcher right click and select "Insert inside af:switcher->facet" Enter  another Facet name (ex: bar)From "Data Controls" drag and drop "Employees->Query"  into the pie facet as "Graph->Pie" (Pie: Sales_Number and Slices: Salesperson)From "Data Controls" drag and drop "Employees->Query"  into the bar facet as "Graph->Bar" (Bars :Sales_Number and X-axis : Salesperson).Now wire the switcher to the af:selectOneRadio using their "facetName" and "value" property respectively.Now run the page, notice that graph renders as per the selection by user.

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• SQL SERVER – Introduction to Big Data – Guest Post

  - by pinaldave

  BIG Data – such a big word – everybody talks about this now a days. It is the word in the database world. In one of the conversation I asked my friend Jasjeet Sigh the same question – what is Big Data? He instantly came up with a very effective write-up.  Jasjeet is working as a Technical Manager with Koenig Solutions. He leads the SQL domain, and holds rich IT industry experience. Talking about Koenig, it is a 19 year old IT training company that offers several certification choices. Some of its courses include SharePoint Training, Project Management certifications, Microsoft Trainings, Business Intelligence programs, Web Design and Development courses etc. Big Data, as the name suggests, is about data that is BIG in nature. The data is BIG in terms of size, and it is difficult to manage such enormous data with relational database management systems that are quite popular these days. Big Data is not just about being large in size, it is also about the variety of the data that differs in form or type. Some examples of Big Data are given below : Scientific data related to weather and atmosphere, Genetics etc Data collected by various medical procedures, such as Radiology, CT scan, MRI etc Data related to Global Positioning System Pictures and Videos Radio Frequency Data Data that may vary very rapidly like stock exchange information Apart from difficulties in managing and storing such data, it is difficult to query, analyze and visualize it. The characteristics of Big Data can be defined by four Vs: Volume: It simply means a large volume of data that may span Petabyte, Exabyte and so on. However it also depends organization to organization that what volume of data they consider as Big Data. Variety: As discussed above, Big Data is not limited to relational information or structured Data. It can also include unstructured data like pictures, videos, text, audio etc. Velocity:  Velocity means the speed by which data changes. The higher is the velocity, the more efficient should be the system to capture and analyze the data. Missing any important point may lead to wrong analysis or may even result in loss. Veracity: It has been recently added as the fourth V, and generally means truthfulness or adherence to the truth. In terms of Big Data, it is more of a challenge than a characteristic. It is difficult to ascertain the truth out of the enormous amount of data and the one that has high velocity. There are always chances of having un-precise and uncertain data. It is a challenging task to clean such data before it is analyzed. Big Data can be considered as the next big thing in the IT sector in terms of innovation and development. If appropriate technologies are developed to analyze and use the information, it can be the driving force for almost all industrial segments. These include Retail, Manufacturing, Service, Finance, Healthcare etc. This will help them to automate business decisions, increase productivity, and innovate and develop new products. Thanks Jasjeet Singh for an excellent write up.  Jasjeet Sign is working as a Technical Manager with Koenig Solutions. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Database, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Big Data

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• Creating a Corporate Data Hub

  - by BuckWoody

  The Windows Azure Marketplace has a rich assortment of data and software offerings for you to use – a type of Software as a Service (SaaS) for IT workers, not necessarily for end-users. Among those offerings is the “Data Hub” – a  codename for a project that ironically actually does what the codename says. In many of our organizations, we have multiple data quality issues. Finding data is one problem, but finding it just once is often a bigger problem. Lots of departments and even individuals have stored the same data more than once, and in some cases, made changes to one of the copies. It’s difficult to know which location or version of the data is authoritative. Then there’s the problem of accessing the data. It’s fairly straightforward to publish a database, share or other location internally to store the data. But then you have to figure out who owns it, how it is controlled, and pass out the various connection strings to those who want to use it. And then you need to figure out how to let folks access the internal data externally – bringing up all kinds of security issues. Finally, in many cases our user community wants us to combine data from the internally sources with external data, bringing up the security, strings, and exploration features up all over again. Enter the Data Hub. This is an online offering, where you assign an administrator and data stewards. You import the data into the service, and it’s available to you - and only you and your organization if you wish. The basic steps for this service are to set up the portal for your company, assign administrators and permissions, and then you assign data areas and import data into them. From there you make them discoverable, and then you have multiple options that you or your users can access that data. You’re then able, if you wish, to combine that data with other data in one location. So how does all that work? What about security? Is it really that easy? And can you really move the data definition off to the Subject Matter Experts (SME’s) that know the particular data stack better than the IT team does? Well, nothing good is easy – but using the Data Hub is actually pretty simple. I’ll give you a link in a moment where you can sign up and try this yourself. Once you sign up, you assign an administrator. From there you’ll create data areas, and then use a simple interface to bring the data in. All of this is done in a portal interface – nothing to install, configure, update or manage. After the data is entered in, and you’ve assigned meta-data to describe it, your users have multiple options to access it. They can simply use the portal – which actually has powerful visualizations you can use on any platform, even mobile phones or tablets.     Your users can also hit the data with Excel – which gives them ultimate flexibility for display, all while using an authoritative, single reference for the data. Since the service is online, they can do this wherever they are – given the proper authentication and permissions. You can also hit the service with simple API calls, like this one from C#: http://msdn.microsoft.com/en-us/library/hh921924  You can make HTTP calls instead of code, and the data can even be exposed as an OData Feed. As you can see, there are a lot of options. You can check out the offering here: http://www.microsoft.com/en-us/sqlazurelabs/labs/data-hub.aspx and you can read the documentation here: http://msdn.microsoft.com/en-us/library/hh921938

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• Creating a Corporate Data Hub

  - by BuckWoody

  The Windows Azure Marketplace has a rich assortment of data and software offerings for you to use – a type of Software as a Service (SaaS) for IT workers, not necessarily for end-users. Among those offerings is the “Data Hub” – a  codename for a project that ironically actually does what the codename says. In many of our organizations, we have multiple data quality issues. Finding data is one problem, but finding it just once is often a bigger problem. Lots of departments and even individuals have stored the same data more than once, and in some cases, made changes to one of the copies. It’s difficult to know which location or version of the data is authoritative. Then there’s the problem of accessing the data. It’s fairly straightforward to publish a database, share or other location internally to store the data. But then you have to figure out who owns it, how it is controlled, and pass out the various connection strings to those who want to use it. And then you need to figure out how to let folks access the internal data externally – bringing up all kinds of security issues. Finally, in many cases our user community wants us to combine data from the internally sources with external data, bringing up the security, strings, and exploration features up all over again. Enter the Data Hub. This is an online offering, where you assign an administrator and data stewards. You import the data into the service, and it’s available to you - and only you and your organization if you wish. The basic steps for this service are to set up the portal for your company, assign administrators and permissions, and then you assign data areas and import data into them. From there you make them discoverable, and then you have multiple options that you or your users can access that data. You’re then able, if you wish, to combine that data with other data in one location. So how does all that work? What about security? Is it really that easy? And can you really move the data definition off to the Subject Matter Experts (SME’s) that know the particular data stack better than the IT team does? Well, nothing good is easy – but using the Data Hub is actually pretty simple. I’ll give you a link in a moment where you can sign up and try this yourself. Once you sign up, you assign an administrator. From there you’ll create data areas, and then use a simple interface to bring the data in. All of this is done in a portal interface – nothing to install, configure, update or manage. After the data is entered in, and you’ve assigned meta-data to describe it, your users have multiple options to access it. They can simply use the portal – which actually has powerful visualizations you can use on any platform, even mobile phones or tablets.     Your users can also hit the data with Excel – which gives them ultimate flexibility for display, all while using an authoritative, single reference for the data. Since the service is online, they can do this wherever they are – given the proper authentication and permissions. You can also hit the service with simple API calls, like this one from C#: http://msdn.microsoft.com/en-us/library/hh921924  You can make HTTP calls instead of code, and the data can even be exposed as an OData Feed. As you can see, there are a lot of options. You can check out the offering here: http://www.microsoft.com/en-us/sqlazurelabs/labs/data-hub.aspx and you can read the documentation here: http://msdn.microsoft.com/en-us/library/hh921938

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• Ideal data structure/techniques for storing generic scheduler data in C#

  - by GraemeMiller

  I am trying to implement a generic scheduler object in C# 4 which will output a table in HTML. Basic aim is to show some object along with various attributes, and whether it was doing something in a given time period. The scheduler will output a table displaying the headers: Detail Field 1 ....N| Date1.........N I want to initialise the table with a start date and an end date to create the date range (ideally could also do other time periods e.g. hours but that isn't vital). I then want to provide a generic object which will have associated events. Where an object has events within the period I want a table cell to be marked E.g. Name Height Weight 1/1/2011 2/1/2011 3/1/20011...... 31/1/2011 Ben 5.11 75 X X X Bill 5.7 83 X X So I created scheduler with Start Date=1/1/2011 and end date 31/1/2011 I'd like to give it my person object (already sorted) and tell it which fields I want displayed (Name, Height, Weight) Each person has events which have a start date and end date. Some events will start and end outwith but they should still be shown on the relevant date etc. Ideally I'd like to have been able to provide it with say a class booking object as well. So I'm trying to keep it generic. I have seen Javasript implementations etc of similar. What would a good data structure be for this? Any thoughts on techniques I could use to make it generic. I am not great with generics so any tips appreciated.

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• Accessing SQL Data Services via ADO.NET Data Service Client Library

  - by Mehmet Aras

  Is this possible? Basically I would like to use SQL Data Services REST interface and let the ADO.NET Data Service Client library handle communication details and generate the entities that I can use. I looked at the samples in February release of Azure services kit but the samples in there are using HttpWebRequest and HttpWebResponse to consume SQL Data Services RESTfully. I was hoping to use ADO.NET Data Service Client library to abstract low-level details away.

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• Bridging Two Worlds: Big Data and Enterprise Data

  - 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: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;} The big data world is all the vogue in today’s IT conversations. It’s a world of volume, velocity, variety – tantalizing us with its untapped potential. It’s a world of transformational game-changing technologies that have already begun to alter the information management landscape. One of the reasons that big data is so compelling is that it’s a universal challenge that impacts every one of us. Whether it is healthcare, financial, manufacturing, government, retail - big data presents a pressing problem for many industries: how can so much information be processed so quickly to deliver the ‘bigger’ picture? With big data we’re tapping into new information that didn’t exist before: social data, weblogs, sensor data, complex content, and more. What also makes big data revolutionary is that it turns traditional information architecture on its head, putting into question commonly accepted notions of where and how data should be aggregated processed, analyzed, and stored. This is where Hadoop and NoSQL come in – new technologies which solve new problems for managing unstructured data. And now for some worst practices that I'd recommend that you please not follow: Worst Practice Lesson 1: Throw away everything that you already know about data management, data integration tools, and start completely over. One shouldn’t forget what’s already running in today’s IT. Today’s Business Analytics, Data Warehouses, Business Applications (ERP, CRM, SCM, HCM), and even many social, mobile, cloud applications still rely almost exclusively on structured data – or what we’d like to call enterprise data. This dilemma is what today’s IT leaders are up against: what are the best ways to bridge enterprise data with big data? And what are the best strategies for dealing with the complexities of these two unique worlds? Worst Practice Lesson 2: Throw away all of your existing business applications … because they don’t run on big data yet. Bridging the two worlds of big data and enterprise data means considering solutions that are complete, based on emerging Hadoop technologies (as well as traditional), and are poised for success through integrated design tools, integrated platforms that connect to your existing business applications, as well as and support real-time analytics. Leveraging these types of best practices translates to improved productivity, lowered TCO, IT optimization, and better business insights. Worst Practice Lesson 3: Separate out [and keep separate] your big data sandboxes from all the current enterprise IT systems. Don’t mix sand among playgrounds. We didn't tell you that you wouldn't get dirty doing this. Correlation between the two worlds is key. The real advantage to analyzing big data comes when you can correlate it with the existing data in your data warehouse or your current applications to make sense of the larger patterns. If you have not followed these worst practices 1-3 then you qualify for the first step of our journey: bridging the two worlds of enterprise data and big data. Over the next several weeks we’ll be discussing this topic along with several others around big data as it relates to data integration. We welcome you to join us in the conversation by following us on twitter on #BridgingBigData or download our latest white paper and resource kit: Big Data and Enterprise Data: Bridging Two Worlds.

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• SQL SERVER – Data Sources and Data Sets in Reporting Services SSRS

  - by Pinal Dave

  This example is from the Beginning SSRS by Kathi Kellenberger. Supporting files are available with a free download from the www.Joes2Pros.com web site. This example is from the Beginning SSRS. Supporting files are available with a free download from the www.Joes2Pros.com web site. Connecting to Your Data? When I was a child, the telephone book was an important part of my life. Maybe I was just a nerd, but I enjoyed getting a new book every year to page through to learn about the businesses in my small town or to discover where some of my school acquaintances lived. It was also the source of maps to my town’s neighborhoods and the towns that surrounded me. To make a phone call, I would need a telephone number. In order to find a telephone number, I had to know how to use the telephone book. That seems pretty simple, but it resembles connecting to any data. You have to know where the data is and how to interact with it. A data source is the connection information that the report uses to connect to the database. You have two choices when creating a data source, whether to embed it in the report or to make it a shared resource usable by many reports. Data Sources and Data Sets A few basic terms will make the upcoming choses make more sense. What database on what server do you want to connect to? It would be better to just ask… “what is your data source?” The connection you need to make to get your reports data is called a data source. If you connected to a data source (like the JProCo database) there may be hundreds of tables. You probably only want data from just a few tables. This means you want to write a specific query against this data source. A query on a data source to get just the records you need for an SSRS report is called a Data Set. Creating a local Data Source You can connect embed a connection from your report directly to your JProCo database which (let’s say) is installed on a server named Reno. If you move JProCo to a new server named Tampa then you need to update the Data Set. If you have 10 reports in one project that were all pointing to the JProCo database on the Reno server then they would all need to be updated at once. It’s possible to make a project level Data Source and have each report use that. This means one change can fix all 10 reports at once. This would be called a Shared Data Source. Creating a Shared Data Source The best advice I can give you is to create shared data sources. The reason I recommend this is that if a database moves to a new server you will have just one place in Report Manager to make the server name change. That one change will update the connection information in all the reports that use that data source. To get started, you will start with a fresh project. Go to Start > All Programs > SQL Server 2012 > Microsoft SQL Server Data Tools to launch SSDT. Once SSDT is running, click New Project to create a new project. Once the New Project dialog box appears, fill in the form, as shown in. Be sure to select Report Server Project this time – not the wizard. Click OK to dismiss the New Project dialog box. You should now have an empty project, as shown in the Solution Explorer. A report is meant to show you data. Where is the data? The first task is to create a Shared Data Source. Right-click on the Shared Data Sources folder and choose Add New Data Source. The Shared Data Source Properties dialog box will launch where you can fill in a name for the data source. By default, it is named DataSource1. The best practice is to give the data source a more meaningful name. It is possible that you will have projects with more than one data source and, by naming them, you can tell one from another. Type the name JProCo for the data source name and click the Edit button to configure the database connection properties. If you take a look at the types of data sources you can choose, you will see that SSRS works with many data platforms including Oracle, XML, and Teradata. Make sure SQL Server is selected before continuing. For this post, I am assuming that you are using a local SQL Server and that you can use your Windows account to log in to the SQL Server. If, for some reason you must use SQL Server Authentication, choose that option and fill in your SQL Server account credentials. Otherwise, just accept Windows Authentication. If your database server was installed locally and with the default instance, just type in Localhost for the Server name. Select the JProCo database from the database list. At this point, the connection properties should look like. If you have installed a named instance of SQL Server, you will have to specify the server name like this: Localhost\InstanceName, replacing the InstanceName with whatever your instance name is. If you are not sure about the named instance, launch the SQL Server Configuration Manager found at Start > All Programs > Microsoft SQL Server 2012 > Configuration Tools. If you have a named instance, the name will be shown in parentheses. A default instance of SQL Server will display MSSQLSERVER; a named instance will display the name chosen during installation. Once you get the connection properties filled in, click OK to dismiss the Connection Properties dialog box and OK again to dismiss the Shared Data Source properties. You now have a data source in the Solution Explorer. What’s next I really need to thank Kathi Kellenberger and Rick Morelan for sharing this material for this 5 day series of posts on SSRS. To get really comfortable with SSRS you will get to know the different SSDT windows, Build reports on your own (without the wizards),  Add report headers and footers, Accept user input,  create levels, charts, or even maps for visual appeal. You might be surprise to know a small 230 page book starts from the very beginning and covers the steps to do all these items. Beginning SSRS 2012 is a small easy to follow book so you can learn SSRS for less than $20. See Joes2Pros.com for more on this and other books. If you want to learn SSRS in easy to simple words – I strongly recommend you to get Beginning SSRS book from Joes 2 Pros. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Reporting Services, SSRS

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• JDeveloper 11g R1 (11.1.1.4.0) - New Features on ADF Desktop Integration Explained

  - by juan.ruiz

  One of the areas that introduced many new features on the latest release (11.1.1.4.0)  of JDeveloper 11g R1 is ADF Desktop integration - in this article I’ll provide an overview of these new features. New ADF Desktop Integration Ribbon in Excel - After installing the ADF desktop integration add-in and depending on the mode in which you open the desktop integration workbook, the ADF Desktop integration ribbon for design time and runtime are displayed as a separate tab within Excel. In previous version the ADF Desktop integration environment used to be placed inside the add-ins tab. Above you can see both, design time ribbon as well as runtime ribbon. On the design time ribbon you can manage the workbook and worksheet properties, worksheet component properties, diagnostics, execution and publication of the workbook. The runtime version of the ribbon is totally customizable and represents what it used to be the runtime menu on the spreadsheet, in this ribbon you can include all the operations and actions that could be executed by the end user while working with the spreadsheet data. Diagnostics - A very important aspect for developers is how to debug or verify the interactions of the client with the server, for that ADF desktop integration has provided since day one a series of diagnostics tools. In this release the diagnostics tools are more visible and are really easy to configure. You can access the client console while testing the workbook, or you can simple dump all the messages to a log file – having the ability of setting the output level for both. Security - There are a number of enhancements on security but the one with more impact for developers is tha security now is optional when using ADF Desktop Integration. Until this version every time that you wanted to work with ADFdi it was a must that the application was previously secured. In this release security is optional which means that if you have previously defined security on your application, then you must secure the ADFdi servlet as explained in one of my previous (ADD LINK) posts. In the other hand, if but the time that you start working with ADFdi you have not defined security, you can test and publish your workbooks without adding security. Support for Continuous Integration - In this release we have added tooling for continuous integration building. in the ADF desktop integration space, the concept translates to adding functionality that developers can use to publish ADFdi workbooks as part of their entire application build. For that purpose, we have a publish tool that can be easily invoke from an ANT task such that all the design time workbooks are re-published into the latest version of the application building process. Key Column - At runtime, on any worksheet containing editable tables you will notice a new additional column called the key column. The purpose of this column is to make the end user aware that all rows on the table need to be selected at the time of sorting. The users cannot alter the value of this column. From the developers points of view there are no steps required in order to have the key column included into the worksheets. Installation and Creation of New Workbooks - Both use cases can be executed now directly from JDeveloper. As part of the Tools menu options the developer can install the ADF desktop integration designer. Also, creating new workbooks that previously was done through that convert tool shipped with JDeveloper is now automatic done from the New Gallery. Creating a new ADFdi workbook adds metadata information information to the Excel workbook so you can work in design time. Other Enhancements Support for Excel 2010 and the ADF components ready-only enabled don’t allow to change its value – the cell in Excel is automatically protected, this could cause confusion among customers of previous releases.

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• Declarative View Objects (VOs) for better ADF performance

  - by Shay Shmeltzer

  Just got back from ODTUG's kscope13 conference which had a lot of good deep ADF content. In one of my session I ran out of time to do one of my demos, so I wanted to share it here instead. This is a demo of how Declarative View Objects can increase your application's performance. For those who are not familiar with declarative VOs, those are VOs that don't actually specify a hard coded query. Instead ADF creates their query at runtime, and it does it based on the data that is requested in your UI layer. This can be a huge saver of both DB resources and network resources. More in the documentation. Here is a quick example that shows you how using such a VO can automatically switch to a simpler SQL instead of a complex join when needed. (note while I demo with 11.1.2.* the feature is there in 11.1.1.* versions also). The demo also shows you how you can monitor the SQL that ADF BC issues to the database using the WebLogic logging feature in JDeveloper. As a side note, I would have loved to see more ADF developers attending Kscope. This demo was part of the "ADF intro" track at Kscope, In the advanced ADF track you would have been treated to a full tuning session about ADF with lots of other tips. Consider attending Kscope next year - it is going to be in Seattle this time.

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• ADF Mobile @ Oracle Open World 2012 - A Look Back...

  - by Joe Huang

  Hi, everyone: It's been a little over two weeks since the end of Oracle Open World 2012, and hope everyone has recovered sufficiently.  We have seen a tremendous amount of coverage on Oracle ADF Mobile during this Oracle Open World.  For starters, ADF Mobile demo booth was positioned in the Oracle Red Lounge in Moscone North, where all new and innovative technologies are being demonstrated.  The booth is liternally out front and the first booth in the area, and we had a lot of interested attendees talking to us.  It feels like ADF Mobile has finally arrived on the big stage. There are numerous sessions and hands on labs that covers ADF Mobile.  Details can be found in Oracle Open World page.   The Oracle Cloud: Oracle's Cloud Platofrm and Application Strategy by Thomas Kurian (Keynote) Near the beginning of the keynote, showing a great analytics application built using ADF Mobile  Oracle Fusion Middleware Strategies Driving Business Innovation by Hasan Rizvi (Keynote) The Future of Development for Oracle Fusion—From Desktop to Mobile to Cloud by Chris Tonas (General Session) Co-presented with Accenture, an ADF Mobile Beta Partner Extend Oracle Fusion Apps to Tablets/Smartphones with Oracle Mobile Technology (General Session) Extend Oracle Applications to Mobile Devices with Oracle’s Mobile Technologies (General Session) Building Mobile Applications with Oracle Cloud (General Session) Mobile-Enable Oracle Fusion Middleware and Enterprise Applications with Oracle ADF (Conference Session) Co-presented with Infosys, an ADF Mobile Beta Partner Develop On-Device iPhone and iPad Apps Without Writing Any Objective-C Code (Oracle Develop Session) Mobile Apps for Oracle E-Business Suite with Oracle ADF Mobile and Oracle SOA Suite (Conference Session) Developing Applications for Mobile iOS and Android Devices with Oracle ADF Mobile (Hands on Lab) This lab was repeated 8 (!) times Build Mobile Applications for Oracle E-business Suite (Hands on Lab) It was an extremely busy Open World for the team, and we were in the middle of trying to release ADF Mobile!   By far, the most memorable event during Open World was the ADF Meett Up at the OTN Lounge, where beers were flowing (for a little while) and familiar names are finally matched with faces.  We also appreciate the opportunity to interview the attendees from New Caledonia - sorry we probably surprised you with the video record, and many thanks for coming through for us. I also want to thank my fellow ADF Mobile and Fusion Middleware team members - from product managers, engineers, and product marketing, everyone worked extremely hard to make this Open World a great success for ADF Mobile. I really enjoyed meeting everyone at Oracle Open World, at the booth, sessions, etc.   Now it's on to release ADF Mobile - for real! Thanks, Joe Huang PS: If this thread shows up on your RSS feed, please keep watching...

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• Oracle Fusion Middleware Innovation Award Winners 2012: ADF & Fusion Development

  - by Dana Singleterry

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Winners are selected based on the uniqueness of their business case, business benefits, level of impact relative to the size of the organization, complexity and magnitude of implementation, and the originality of architecture. The awards were presented during Oracle OpenWorld 2012 and following winners are for the category of ADF & Fusion Development. Micros – an OPN Platinum partner – has been working closely with Oracle product management teams in applying industry best practices in the development of their solutions. Their current application suite for the hospitality industry was built on Oracle Forms and the Oracle database running on MS Windows. The next generation of this suite is being developed and released in modules that are now based on Oracle FMW (including ADF) 11g technologies and Oracle Database 11g all running on Oracle Linux. The primary driver was that of modernization and hence the reason Oracle ADF was selected to provide a rich UI for business processes that could be served up through traditional methods or through mobile devices globally. SOA Suite & ADF allowed for loosely-coupled services that could evolve with the needs of the business. Micros's application innovations includes the use of business application portlets that have been published from ADF Faces Task Flows generated using WebCenter portlet libraries  & Oracle Metadata Services (MDS) with multi-layered customizations using Oracle WebCenter Composer. PCS (Marfin Egnatia Bank of Greece) – PCS Wealth Management is a WM Software Solution, which captures and automates the WM business processes allowing Service Providers to allocate enough time and effort into Customer Service and Investment Strategies, under Advisory or Execution-Only Services. The Product is built upon the latest Web Technologies and ensures Best Practices covering all functional expectations, meeting local regulatory requirements and discovering successful opportunities for the WM Customers' Portfolios. The new unified Wealth Management system offers an unparalleled User Interface taking full advantage of the user friendly ADF Faces Components to a great extent, all serving Private Banking purposes. The application offers a true Account Officer Cockpit with shallow navigation, one-click access to informed decisions and a perfect customer service. ADF Grids and Pivots, the Data Visualization Components, as well as the Calendar and Map Components are cleverly used to help the user eliminate the usage of Excel, Outlook and other systems. PCS's application is unique in the way it leverages the ADF Faces data visualization components to create a truly attractive and insightful dashboard for their application. PCS Wealth Management Demo Qualcomm – Qualcomm, a $17B per year company, designs and sells semiconductor products for wireless telecommunications, mobile and computing markets. In addition, Qualcomm companies provide various hardware and software products to facilitate the design, development and deployment of phones and the applications that run on them. Qualcomm’s challenge has been to not only develop and deploy new business system functions to keep pace with customer demand, but also to provide a customer collaboration capability that is sufficiently robust, easy to use, and flexible to meet emerging and future needs. Qualcomm has taken successful steps in building and deploying the customer engagement platform Ieveraging various Oracle technologies including Fusion Middleware (ADF, SOA, OBIEE) and their proven ERP foundation of EBS and 11g databases. The new platform delivers a more unified and “seamless” business solution with a consistent, modern “look and feel” all based on standard business processes which facilitate efficient collaboration with Qualcomm and its customers. The look and feel leverages ADF in innovative ways and includes hover over navigation, custom pagination components, and skinning. Qualcomm has exposed a services layer that provides significant functionality including order-to-ship, quote-to-order, customer on-boarding and contract validation. Qualcomm's creative designs leverage Oracle's SOA Suite to integrate with Oracle EBS and desperate applications to provide a rich user interface through the use use of Oracle ADF Faces Rich Client Components providing a self-service solution to their customers.

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• Getting Started with ADF Mobile Sample Apps

  - by Denis T

  Getting Started with ADF Mobile Sample Apps   Installation Steps Install JDeveloper 11.1.2.3.0 from Oracle Technology Network After installing JDeveloper, go to Help menu and select "Check For Updates" and find the ADF Mobile extension and install this. It will require you restart JDeveloper For iOS development, be on a Mac and have Xcode installed. (Currently only Xcode 4.4 is officially supported. Xcode 4.5 support is coming soon) For Android development, have the Android SDK installed. In the JDeveloper Tools menu, select "Preferences". In the Preferences dialog, select ADF Mobile. You can expand it to select configure your Platform preferences for things like the location of Xcode and the Android SDK. In your /jdeveloper/jdev/extensions/oracle.adf.mobile/Samples folder you will find a PublicSamples.zip. Unzip this into the Samples folder so you have all the projects ready to go. Open each of the sample application's .JWS file to open the corresponding workspace. Then from the "Application" menu, select "Deploy" and then select the deployment profile for the platform you wish to deploy to. Try deploying to the simulator/emulator on each platform first because it won't require signing. Note: If you wish to deploy to the Android emulator, it must be running before you start the deployment.   Sample Application Details   Recommended Order of Use Application Name Description 1 HelloWorld The "hello world" application for ADF Mobile, which demonstrates the basic structure of the framework. This basic application has a single application feature that is implemented with a local HTML file. Use this application to ascertain that the development environment is set up correctly to compile and deploy an application. See also Section 4.2.2, "What Happens When You Create an ADF Mobile Application." 2 CompGallery This application is meant to be a runtime application and not necessarily to review the code, though that is available. It serves as an introduction to the ADF Mobile AMX UI components by demonstrating all of these components. Using this application, you can change the attributes of these components at runtime and see the effects of those changes in real time without recompiling and redeploying the application after each change. See generally Chapter 8, "Creating ADF Mobile AMX User Interface." 3 LayoutDemo This application demonstrates the user interface layout and shows how to create the various list and button styles that are commonly used in mobile applications. It also demonstrates how to create the action sheet style of a popup component and how to use various chart and gauge components. See Section 8.3, "Creating and Using UI Components" and Section 8.5, "Providing Data Visualization." Note: This application must be opened from the Samples directory or the Default springboard option must be cleared in the Applications page of the adfmf-application.xml overview editor, then selected again. 4 JavaDemo This application demonstrates how to bind the user interface to Java beans. It also demonstrates how to invoke EL bindings from the Java layer using the supplied utility classes. See also Section 8.10, "Using Event Listeners" and Section 9.2, "Understanding EL Support." 5 Navigation This application demonstrates the various navigation techniques in ADF Mobile, including bounded task flows and routers. It also demonstrates the various page transitions. See also Section 7.2, "Creating Task Flows." Note: This application must be opened from the Samples directory or the Default springboard option must be cleared in the Applications page of the adfmf-application.xml overview editor, then selected again. 6 LifecycleEvents This application implements lifecycle event handlers on the ADF Mobile application itself and its embedded application features. This application shows you where to insert code to enable the applications to perform their own logic at certain points in the lifecycle. See also Section 5.6, "About Lifecycle Event Listeners." Note: iOS, the LifecycleEvents sample application logs data to the Console application, located at Applications-Utilities-Console application. 7 DeviceDemo This application shows you how to use the DeviceFeatures data control to expose such device features as geolocation, e-mail, SMS, and contacts, as well as how to query the device for its properties. See also Section 9.5, "Using the DeviceFeatures Data Control." Note: You must also run this application on an actual device because SMS and some of the device properties do not function on an iOS simulator or Android emulator. 8 GestureDemo This application demonstrates how gestures can be implemented and used in ADF Mobile applications. See also Section 8.4, "Enabling Gestures." 9 StockTracker This application demonstrates how data change events use Java to enable data changes to be reflected in the user interface. It also has a variety of layout use cases, gestures and basic mobile patterns. See also Section 9.7, "Data Change Events."

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• PostgreSQL to Data-Warehouse: Best approach for near-real-time ETL / extraction of data

  - by belvoir

  Background: I have a PostgreSQL (v8.3) database that is heavily optimized for OLTP. I need to extract data from it on a semi real-time basis (some-one is bound to ask what semi real-time means and the answer is as frequently as I reasonably can but I will be pragmatic, as a benchmark lets say we are hoping for every 15min) and feed it into a data-warehouse. How much data? At peak times we are talking approx 80-100k rows per min hitting the OLTP side, off-peak this will drop significantly to 15-20k. The most frequently updated rows are ~64 bytes each but there are various tables etc so the data is quite diverse and can range up to 4000 bytes per row. The OLTP is active 24x5.5. Best Solution? From what I can piece together the most practical solution is as follows: Create a TRIGGER to write all DML activity to a rotating CSV log file Perform whatever transformations are required Use the native DW data pump tool to efficiently pump the transformed CSV into the DW Why this approach? TRIGGERS allow selective tables to be targeted rather than being system wide + output is configurable (i.e. into a CSV) and are relatively easy to write and deploy. SLONY uses similar approach and overhead is acceptable CSV easy and fast to transform Easy to pump CSV into the DW Alternatives considered .... Using native logging (http://www.postgresql.org/docs/8.3/static/runtime-config-logging.html). Problem with this is it looked very verbose relative to what I needed and was a little trickier to parse and transform. However it could be faster as I presume there is less overhead compared to a TRIGGER. Certainly it would make the admin easier as it is system wide but again, I don't need some of the tables (some are used for persistent storage of JMS messages which I do not want to log) Querying the data directly via an ETL tool such as Talend and pumping it into the DW ... problem is the OLTP schema would need tweaked to support this and that has many negative side-effects Using a tweaked/hacked SLONY - SLONY does a good job of logging and migrating changes to a slave so the conceptual framework is there but the proposed solution just seems easier and cleaner Using the WAL Has anyone done this before? Want to share your thoughts?

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• Reference Data Management and Master Data: Are Relation ?

  - by Mala Narasimharajan

  Submitted By:  Rahul Kamath  Oracle Data Relationship Management (DRM) has always been extremely powerful as an Enterprise Master Data Management (MDM) solution that can help manage changes to master data in a way that influences enterprise structure, whether it be mastering chart of accounts to enable financial transformation, or revamping organization structures to drive business transformation and operational efficiencies, or restructuring sales territories to enable equitable distribution of leads to sales teams following the acquisition of new products, or adding additional cost centers to enable fine grain control over expenses. Increasingly, DRM is also being utilized by Oracle customers for reference data management, an emerging solution space that deserves some explanation. What is reference data? How does it relate to Master Data? Reference data is a close cousin of master data. While master data is challenged with problems of unique identification, may be more rapidly changing, requires consensus building across stakeholders and lends structure to business transactions, reference data is simpler, more slowly changing, but has semantic content that is used to categorize or group other information assets – including master data – and gives them contextual value. In fact, the creation of a new master data element may require new reference data to be created. For example, when a European company acquires a US business, chances are that they will now need to adapt their product line taxonomy to include a new category to describe the newly acquired US product line. Further, the cross-border transaction will also result in a revised geo hierarchy. The addition of new products represents changes to master data while changes to product categories and geo hierarchy are examples of reference data changes.1 The following table contains an illustrative list of examples of reference data by type. Reference data types may include types and codes, business taxonomies, complex relationships & cross-domain mappings or standards. Types & Codes Taxonomies Relationships / Mappings Standards Transaction Codes Industry Classification Categories and Codes, e.g., North America Industry Classification System (NAICS) Product / Segment; Product / Geo Calendars (e.g., Gregorian, Fiscal, Manufacturing, Retail, ISO8601) Lookup Tables (e.g., Gender, Marital Status, etc.) Product Categories City à State à Postal Codes Currency Codes (e.g., ISO) Status Codes Sales Territories (e.g., Geo, Industry Verticals, Named Accounts, Federal/State/Local/Defense) Customer / Market Segment; Business Unit / Channel Country Codes (e.g., ISO 3166, UN) Role Codes Market Segments Country Codes / Currency Codes / Financial Accounts Date/Time, Time Zones (e.g., ISO 8601) Domain Values Universal Standard Products and Services Classification (UNSPSC), eCl@ss International Classification of Diseases (ICD) e.g., ICD9 à IC10 mappings Tax Rates Why manage reference data? Reference data carries contextual value and meaning and therefore its use can drive business logic that helps execute a business process, create a desired application behavior or provide meaningful segmentation to analyze transaction data. Further, mapping reference data often requires human judgment. Sample Use Cases of Reference Data Management Healthcare: Diagnostic Codes The reference data challenges in the healthcare industry offer a case in point. Part of being HIPAA compliant requires medical practitioners to transition diagnosis codes from ICD-9 to ICD-10, a medical coding scheme used to classify diseases, signs and symptoms, causes, etc. The transition to ICD-10 has a significant impact on business processes, procedures, contracts, and IT systems. Since both code sets ICD-9 and ICD-10 offer diagnosis codes of very different levels of granularity, human judgment is required to map ICD-9 codes to ICD-10. The process requires collaboration and consensus building among stakeholders much in the same way as does master data management. Moreover, to build reports to understand utilization, frequency and quality of diagnoses, medical practitioners may need to “cross-walk” mappings -- either forward to ICD-10 or backwards to ICD-9 depending upon the reporting time horizon. Spend Management: Product, Service & Supplier Codes Similarly, as an enterprise looks to rationalize suppliers and leverage their spend, conforming supplier codes, as well as product and service codes requires supporting multiple classification schemes that may include industry standards (e.g., UNSPSC, eCl@ss) or enterprise taxonomies. Aberdeen Group estimates that 90% of companies rely on spreadsheets and manual reviews to aggregate, classify and analyze spend data, and that data management activities account for 12-15% of the sourcing cycle and consume 30-50% of a commodity manager’s time. Creating a common map across the extended enterprise to rationalize codes across procurement, accounts payable, general ledger, credit card, procurement card (P-card) as well as ACH and bank systems can cut sourcing costs, improve compliance, lower inventory stock, and free up talent to focus on value added tasks. Change Management: Point of Sales Transaction Codes and Product Codes In the specialty finance industry, enterprises are confronted with usury laws – governed at the state and local level – that regulate financial product innovation as it relates to consumer loans, check cashing and pawn lending. To comply, it is important to demonstrate that transactions booked at the point of sale are posted against valid product codes that were on offer at the time of booking the sale. Since new products are being released at a steady stream, it is important to ensure timely and accurate mapping of point-of-sale transaction codes with the appropriate product and GL codes to comply with the changing regulations. Multi-National Companies: Industry Classification Schemes As companies grow and expand across geographies, a typical challenge they encounter with reference data represents reconciling various versions of industry classification schemes in use across nations. While the United States, Mexico and Canada conform to the North American Industry Classification System (NAICS) standard, European Union countries choose different variants of the NACE industry classification scheme. Multi-national companies must manage the individual national NACE schemes and reconcile the differences across countries. Enterprises must invest in a reference data change management application to address the challenge of distributing reference data changes to downstream applications and assess which applications were impacted by a given change. References 1 Master Data versus Reference Data, Malcolm Chisholm, April 1, 2006.

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• Focus on Oracle Data Profiling and Data Quality 11g - 24/Fev/11

  - by Claudia Costa

  Thursday 24th February, 11am GMTOracle offers an integrated suite Data Quality software architected to discover and correct today's data quality problems and establish a platform prepared for tomorrow's yet unknown data challenges.Oracle Data Profiling provides data investigation, discovery, and profiling in support of quality, migration, integration, stewardship, and governance initiatives. It includes a broad range of features that expand upon basic profiling, including automated monitoring, business-rule validation, and trend analysis.Oracle Data Quality for Data Integrator provides cleansing, standardization, matching, address validation, location enrichment, and linking functions for global customer data and operational business data.It ensures that data adheres to established standards that are adaptable to fit each organization's specific needs. Both single - and double - byte data are processed in local languages to provide a unique and centralized view of customers, products and services.  During this in-person briefing, Data Integration Solution Specialists will be providing a technical overview and a walkthrough.Agenda Oracle Data Integration Strategy overview A focus on Oracle Data Profiling and Oracle Data Quality for Data Integrator: Oracle Data Profiling Oracle Data Quality for Data Integrator Live demo Q&A  This FREE online LIVE eSeminar will be delivered over the Web and Conference Call. Registrations received less than 24hours prior to start time may not receive confirmation to attend.To register click here.For any questions please contact [email protected]

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• More New JDeveloper/ADF Blogs - Dec 2010 Edition

  - by shay.shmeltzer

  It's only been a month since my last new bloggers update, but over this month I came across several other new blogs so here is a few more to add to your RSS reader: JDev and ADF QA Team ADF Code Corner Code Harvest JDeveloper PMs Blog Don Kleppinger Amit Seth Kishore Amir Hossein Khanof Oracle ADF Notebook Gerry O'D Muhammed Soyer Thanks for all the developers who are sharing their experience and helping advance the ADF community. As always we are trying to keep tracking these blogs for entries and you can find those on the JDeveloper tweet, facebook and blog roll.Twitter , Facebook , Blogs

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• Calling Web Services using ADF 11g

  - by James Taylor

  One of the benefits of ADF is that fact that it can use multiple data sources. With SOA playing a big part in today’s IT landscape, applications need to be able to utilise this SOA framework to leverage functionality from multiple systems to provide a composite application. ADF provides functionality to expose web services via the ADF Business Component so if you know how to use Business Components for a database. Configuring ADF for web services is much the same. In this example I use an OSB web service that gets a customer. Create a new Fusion Web Application (ADF) Application and click OK    Provide an Application Name, GetCustomerADF and click Next    From the Project Technologies move Web Services into the Selected box. Accept the defaults and click Finish. Right-click the Model project and select New In the Gallery select Web Services –> Web Service Data Control then click OK. Provide a name GetCustomerDC and give the URL endpoint for the Web Service, then click Next Select the web service operation you want to use for the ADF application. In my example my web service only has one operation. Click Finish Save your work, File –> Save The data control has now been created, the next steps create the UI components. In your application created in step 1 find the ViewController project, right-click and choose New In the Gallery select JSF –> JSF Page Provide a name for the jsp page, GetCustomer, Also ensure that the ‘Create as XML Document (*.jsp) check box is checked. I have selected the page template, Oracle Three Column Layout but you can create a layout of your choice. I only want 2 columns so I delete the last column but right-clicking the right had panel and selecting Delete Drag the fields you require from the web service data control to the left pannel. In my example I only require the Customer ID. When you drag to the panel select Texts –>ADF Input Text w/Label In this example I want to search on a customer based on the ID. So Once I select the ID I want to execute the request. To do this I need a button. Drag the operation object under the fields created in step 15. Select Methods –> ADF Button. You now need to provide the mappings, Choose the ‘Show EI Expression Builder’ Navigate to the bindings, ADFBindings –> bindings –> parametersIterator –> currentRow Click OK Drag and drop the return information I just want the results shown in a form. I want to show all fields Now it is time to test, Right-click the jspx page created in steps 11 – 21 and select Run A browser should start, enter valid values and test  

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• Pretty URL in ADF Faces of JDeveloper 11.1.2.2

  - by Frank Nimphius

  Many features planned for Oracle JDeveloper 12c find their way into current releases of Oracle JDeveloper 11g R1 and JDeveloper 11g R2. One example of such a feature is "pretty URL" - or "clean URL" as the Oracle JDeveloper 11g R2 (11.1.2.2) documentation puts it. "A.2.3.24 Clean URLs Historically, ADF Faces has used URL parameters to hold information, such as window IDs and state. However, URL parameters can prevent search engines from recognizing when URLs are actually the same, and therefore interfere with analytics. URL parameters can also interfere with bookmarking. By default, ADF Faces removes URL parameters using the HTML5 History Management API. If that API is unavailable, then session cookies are used.You can also manually configure how URL parameters are removed using the context parameter oracle.adf.view.rich.prettyURL.OPTIONS. Set the parameter to off so that no parameters are removed. Set the parameter to useHistoryApi to only use the HTML5 History Management API. If a browser does not support this API, then no parameters will be removed. Set the parameter to useCookies to use session cookies to remove parameters. If the browser does not support cookies, then no parameters will be removed." See: http://docs.oracle.com/cd/E26098_01/web.1112/e16181/ap_config.htm#ADFUI12856 So basically, what this part in the documentation says is: In JDeveloper 11g R2 (11.1.2.2), Oracle ADF Faces automatically removes its internally used dynamic parameters from the URL You can influence the setting with the prettyURL.OPTIONS context option, which however is not recommended you to do because the default behavior is able to detect if the browser client supports HTML 5 History management or not. In the latter case it the uses a session cookie and if this doesn't work, falls back to the "old" URL parameter adding. The information that is not so explicit and clearly mentioned in the documentation is that this is only for ADF Faces parameters (such as _afrLoop, Adf-Window-Id, etc.), but not the ADF controller token (_adf.ctrl-state)! Removing the ADF controller token is an enhancement request that will be implemented in Oracle JDeveloper 12c

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• NEU: Oracle ADF Essentials - Hoch-moderne Applikationsentwicklung ohne Zusatzkosten

  - by pweckerl

  Ab sofort besteht mit Oracle ADF Essentials die Möglichkeit, bei der Entwicklung von Java Applikationen auf die Vorteile des Oracle Application Development Frameworks zurückgreifen zu können, ohne zusätzliche Lizenzkosten fürchten zu müssen. In Kombination mit dem Oracle GlassFish Server bietet sich nun ein sehr attraktives Angebot zum Einstieg in die Web Applikationswelt. Details zu Oracle ADF Essentials finden Sie unter OTN Seite zu Oracle ADF Essentials Pressemeldung FAQ ADF BLOG

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• NEU: Oracle ADF Mobile - Anwendung für iOS und Android entwickeln

  - by Robert Baumgartner

  Oracle ADF Mobile steht ab sofort zur Verfügung. Es ist ein HTML5 und Java Mobile Development Framworw, dass es ermöglicht Enterprise Applications für iOS und Android Geräte (Handy und Tablet) mit einem Code zu entwickeln. Basieren auf einer hybriden Mobile Architektur werden auch gerätesprezifische Funktionen, wie z.B. die Kamera, unterstützt. Details zu Oracle ADF Mobile finden Sie unter Oracle ADF Mobile FAQs Demo ADF Mobile BLOG

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• ADF Mobile Released!!

  - by Denis T

  ADFmfAnnounce We are pleased to announce the general availability of the newest version of Oracle’s ADF Mobile framework. This new framework provides the much anticipated on-device capabilities that the latest mobile applications require.  Feature Highlights Java - Oracle brings a Java VM embedded with each application so you can develop all your business logic in the platform neutral language you know and love! (Yes, even iOS!) JDBC - Since we give you Java, we also provide JDBC along with a SQLite driver and engine that also supports encryption out of the box. Multi-Platform - Truly develop your application only once and deploy to multiple platforms. iOS and Android platforms are supported for both phone and tablet. Flexible - You can decide how to implement the UI: (a) Use existing server-based UI framework like JSF. (b) Use your own favorite HTML5 framework like JQuery. (c) Use our declarative HTML5 component set provided with the framework. ADF Mobile XML or AMX for short, provides all the normal input and layout controls you expect and we also add charts/maps/gauges along with it to provide a very comprehensive UI controls. You can also mix and match any of the three for ultimate flexibility! Device Feature Access - You can get access to device features from either Java or JavaScript to invoke features like camera, GPS, email, SMS, contacts, etc. Secure - ADF Mobile provides integrated security that works with your server back-end as well. Whether you’re using remote URLs, local HTML or AMX, you can secure any/all of your features with a single consistent login page. Since we also give you SQLite encryption, we are assured that your data is safe. Rapid - Using the same development techniques that ADF developers are already used to, you can quickly create mobile applications without ever learning another language! Architecture ADF Mobile is a “hybrid” architecture that employs a natively built “container” on each platform that hosts a number of browser windows that are used to display the application content. We add the Java VM as a natively built library to the container for business logic.   How To Get Started ADF Mobile is an extension to the recently released JDeveloper version 11.1.2.3.0. Simple get the latest JDeveloper from Oracle Technology Network and use the Check for Updates feature to get the ADF Mobile extension. Note: ADF Mobile does not require developers to learn any other languages or frameworks but to build/deploy to iOS, you must be on an Apple MacintoshTM and have Xcode installed. To build/deploy to Android™ you must have the Android SDK installed.

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