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  • Very good book for learning ADF

    - by kishore.kondepudi(at)oracle.com
    Am back!!!Its been a long time i have penned in here.Past month i got a bit Androided ;) with my new Captivate and experiments with Android.I promise to give looots of things coming weeks.Before that i have been getting many comments and mails from people interested in learning ADF to suggest a god book.While there aren't many out in the market now,the one by Frank Nimphius is very very good.I have gone through the book and its very apt for learning and getting to know the horizon of ADF.It has almost everything from Model,UI,Skinning,Internationalization,Security,Reusing lots and lots of ADF stuff.I recommend the book for all beginners and learners for ADF.In case you are in India you can order it to your home from flipkart directly.Here is the listingThere are two versions of the same book one is an international edition and another one is indian print from TMH.The cost is 585/- rupees for the indian one.The book is titled Oracle Fusion Developer Guide: Building Rich Internet Applications With Oracle ADF Business Components & ADF FacesEconomical price and an excellent book.Grab yours now and plough ADF ;)

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  • Reviewing Orace ADF Enterprise Application Development Made Simple Book

    - by Grant Ronald
    Although I was a technical reviewer of Oracle ADF Enterprise Application Development-Made Simple (by Sten Vesterli) it is nice to get the finished article in your hands as a real tangible book. Personally, on a sun lounger with a Dan Brown book I can read 300 pages a day, but technical books are a different beast and I find it hard to get through them with the same vigour.  However, I'm up to chapter 7 in Sten's book and so far it's holding my interest.  He writes in an almost conversational tone and I really like the comparisons to "real world" concepts - like page templates being like gingerbread cookie cutters.  Personally I like to be able to compare or size up a new concept against something I already know. I'll post a full review next week but the good news is 212 pages in and I'm still reading!

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  • ADF Sessions at RMOUG this week

    - by shay.shmeltzer
    If you are attending the RMOUG conference this week, you might be interested in checking out some of the sessions we are doing about Oracle ADF:Lynn is delivering:The Fusion Development Platform - Wed at 9:00 (404)Put Your Good Taste Into Action: How to Skin ADF Faces Rich Client Applications - Wed 5:00 (4 c/d)Shay is delivering:From SQL to Rich Web Data Visualization - The Fast Route - Thu at 9:00 (404)Adding Mobile and Web 2.0 UIs to Existing Applications - The Fusion Way - Thu at 10:15 (404)There are also lots of ADF related sessions delivered by customers and partners including:Drinking the Kool-Aid - My Journey to Becoming an ADF BelieverCase Study: Performance Tuning New ADF Applications Using Oracle Application Testing Suite (ATS)Oracle ADF & JDeveloper: Coming of AgeHello Worldwide Web: Your First JSF in JDeveloperMore details see the schedule here.If you are using ADF already, please drop by and let us know what you think. We are always looking for user feedback.

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  • Extending Oracle Fusion Applications with Oracle ADF - Live training

    - by Grant Ronald
    We in the Product Management and Curriculum development team have been working on a new course which explains how to customize Fusion Applications with Oracle ADF.  This focuses on features such as MDS and Web Center Composer and shows how you can customize and personalize a Fusion application through task flows, validation layer and UI.  This new training material is available as on "on-demand" and features live video, demonstrations, whiteboarding and powerpoint. This is a key feature of our stack and understanding how you can harness it will give you incredible power and flexibility in your applications.  

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  • Highlighting new rows in ADF Table

    - by Sireesha Pinninti
    About This article explains how to hightlight newly inserted rows in an ADF Table without writing any extra java/javascript code.IntroductionSometimes we may wish to give more clarification to the end user by differentiating between newly inserted rows and the existing rows(i.e the rows from DB) in a table by highlighting new rows in different color as in the figure shown below. SolutionWe can achieve the same by giving following EL to inlineStyle property of every column inside af:table: #{row.row.entities[0].entityState == 0?'background-color:#307D7E;':''}ExplanationHere is the explanation for row.row.entities[0].entityState given inside EL which returns the state of the row(i.e, New, Modified, Unmodified, Initialized etc.)row - Refers to a tree node binding(instance of FacesCtrlHierNodeBinding) at runtimerow.row - Refers to an instance of row that the tree node is based onrow.row.entities[0] - Gets the Entity row at zeroth index. In most of the cases, the table will be based on single entity. If your table is based on multiple entities then the index needs to be given accordingly.row.row.entities[0].entityState - Gets Entity Object's current Entity-state in the transaction.(0 - New, Modified - 2, Unmodified - 1, Initialized - -1,  etc.,)

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  • Towards Ultra-Reusability for ADF - Adaptive Bindings

    - by Duncan Mills
    The task flow mechanism embodies one of the key value propositions of the ADF Framework, it's primary contribution being the componentization of your applications and implicitly the introduction of a re-use culture, particularly in large applications. However, what if we could do more? How could we make task flows even more re-usable than they are today? Well one great technique is to take advantage of a feature that is already present in the framework, a feature which I will call, for want of a better name, "adaptive bindings". What's an adaptive binding? well consider a simple use case.  I have several screens within my application which display tabular data which are all essentially identical, the only difference is that they happen to be based on different data collections (View Objects, Bean collections, whatever) , and have a different set of columns. Apart from that, however, they happen to be identical; same toolbar, same key functions and so on. So wouldn't it be nice if I could have a single parametrized task flow to represent that type of UI and reuse it? Hold on you say, great idea, however, to do that we'd run into problems. Each different collection that I want to display needs different entries in the pageDef file and: I want to continue to use the ADF Bindings mechanism rather than dropping back to passing the whole collection into the taskflow   If I do use bindings, there is no way I want to have to declare iterators and tree bindings for every possible collection that I might want the flow to handle  Ah, joy! I reply, no need to panic, you can just use adaptive bindings. Defining an Adaptive Binding  It's easiest to explain with a simple before and after use case.  Here's a basic pageDef definition for our familiar Departments table.  <executables> <iterator Binds="DepartmentsView1" DataControl="HRAppModuleDataControl" RangeSize="25"             id="DepartmentsView1Iterator"/> </executables> <bindings> <tree IterBinding="DepartmentsView1Iterator" id="DepartmentsView1">   <nodeDefinition DefName="oracle.demo.model.vo.DepartmentsView" Name="DepartmentsView10">     <AttrNames>       <Item Value="DepartmentId"/>         <Item Value="DepartmentName"/>         <Item Value="ManagerId"/>         <Item Value="LocationId"/>       </AttrNames>     </nodeDefinition> </tree> </bindings>  Here's the adaptive version: <executables> <iterator Binds="${pageFlowScope.voName}" DataControl="HRAppModuleDataControl" RangeSize="25"             id="TableSourceIterator"/> </executables> <bindings> <tree IterBinding="TableSourceIterator" id="GenericView"> <nodeDefinition Name="GenericViewNode"/> </tree> </bindings>  You'll notice three changes here.   Most importantly, you'll see that the hard-coded View Object name  that formally populated the iterator Binds attribute is gone and has been replaced by an expression (${pageFlowScope.voName}). This of course, is key, you can see that we can pass a parameter to the task flow, telling it exactly what VO to instantiate to populate this table! I've changed the IDs of the iterator and the tree binding, simply to reflect that they are now re-usable The tree binding itself has simplified and the node definition is now empty.  Now what this effectively means is that the #{node} map exposed through the tree binding will expose every attribute of the underlying iterator's collection - neat! (kudos to Eugene Fedorenko at this point who reminded me that this was even possible in his excellent "deep dive" session at OpenWorld  this year) Using the adaptive binding in the UI Now we have a parametrized  binding we have to make changes in the UI as well, first of all to reflect the new ID that we've assigned to the binding (of course) but also to change the column list from being a fixed known list to being a generic metadata driven set: <af:table value="#{bindings.GenericView.collectionModel}" rows="#{bindings.GenericView.rangeSize}"         fetchSize="#{bindings.GenericView.rangeSize}"           emptyText="#{bindings.GenericView.viewable ? 'No data to display.' : 'Access Denied.'}"           var="row" rowBandingInterval="0"           selectedRowKeys="#{bindings.GenericView.collectionModel.selectedRow}"           selectionListener="#{bindings.GenericView.collectionModel.makeCurrent}"           rowSelection="single" id="t1"> <af:forEach items="#{bindings.GenericView.attributeDefs}" var="def">   <af:column headerText="#{bindings.GenericView.labels[def.name]}" sortable="true"            sortProperty="#{def.name}" id="c1">     <af:outputText value="#{row[def.name]}" id="ot1"/>     </af:column>   </af:forEach> </af:table> Of course you are not constrained to a simple read only table here.  It's a normal tree binding and iterator that you are using behind the scenes so you can do all the usual things, but you can see the value of using ADFBC as the back end model as you have the rich pantheon of UI hints to use to derive things like labels (and validators and converters...)  One Final Twist  To finish on a high note I wanted to point out that you can take this even further and achieve the ultra-reusability I promised. Here's the new version of the pageDef iterator, see if you can notice the subtle change? <iterator Binds="{pageFlowScope.voName}"  DataControl="${pageFlowScope.dataControlName}" RangeSize="25"           id="TableSourceIterator"/>  Yes, as well as parametrizing the collection (VO) name, we can also parametrize the name of the data control. So your task flow can graduate from being re-usable within an application to being truly generic. So if you have some really common patterns within your app you can wrap them up and reuse then across multiple developments without having to dictate data control names, or connection names. This also demonstrates the importance of interacting with data only via the binding layer APIs. If you keep any code in the task flow generic in that way you can deal with data from multiple types of data controls, not just one flavour. Enjoy!

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  • How to bind an ADF Table on button click

    - by Juan Manuel Formoso
    Coming from ASP.NET I'm having a hard time with basic ADF concepts. I need to bind a table on a button click, and for some reason I don't understand (I'm leaning towards page life cycle, which I guess is different from ASP.NET) it's not working. This is my ADF code: <af:commandButton text="#{viewcontrollerBundle.CMD_SEARCH}" id="cmdSearch" action="#{backingBeanScope.indexBean.cmdSearch_click}" partialSubmit="true"/> <af:table var="row" rowBandingInterval="0" id="t1" value="#{backingBeanScope.indexBean.transactionList}" partialTriggers="::cmdSearch" binding="#{backingBeanScope.indexBean.table}"> <af:column sortable="false" headerText="idTransaction" id="c2"> <af:outputText value="#{row.idTransaction}" id="ot4"/> </af:column> <af:column sortable="false" headerText="referenceCode" id="c5"> <af:outputText value="#{row.referenceCode}" id="ot7"/> </af:column> </af:table> This is cmdSearch_click: public String cmdSearch_click() { List l = new ArrayList(); Transaction t = new Transaction(); t.setIdTransaction(BigDecimal.valueOf(1)); t.setReferenceCode("AAA"); l.add(t); t = new Transaction(); t.setIdTransaction(BigDecimal.valueOf(2)); t.setReferenceCode("BBB"); l.add(t); setTransactionList(l); // AdfFacesContext.getCurrentInstance().addPartialTarget(table); return null; } The commented line also doesn't work. If I populate the list on my Bean's constructor, the table renders ok. Any ideas?

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  • Control-Break Style ADF Table - Comparing Values with Previous Row

    - by Steven Davelaar
    Sometimes you need to display data in an ADF Faces table in a control-break layout style, where rows should be "indented" when the break column has the same value as in the previous row. In the screen shot below, you see how the table breaks on both the RegionId column as well as the CountryId column. To implement this I didn't use fancy SQL statements. The table is based on a straightforward Locations ViewObject that is based on the Locations entity object and the Countries reference entity object, and the join query was automatically created by adding the reference EO. To get the indentation in the ADF Faces table, we simple use two rendered properties on the RegionId and CountryId outputText items:  <af:column sortProperty="RegionId" sortable="false"            headerText="#{bindings.LocationsView1.hints.RegionId.label}"            id="c5">   <af:outputText value="#{row.RegionId}" id="ot2"                  rendered="#{!CompareWithPreviousRowBean['RegionId']}">     <af:convertNumber groupingUsed="false"                       pattern="#{bindings.LocationsView1.hints.RegionId.format}"/>   </af:outputText> </af:column> <af:column sortProperty="CountryId" sortable="false"            headerText="#{bindings.LocationsView1.hints.CountryId.label}"            id="c1">   <af:outputText value="#{row.CountryId}" id="ot5"                  rendered="#{!CompareWithPreviousRowBean['CountryId']}"/> </af:column> The CompareWithPreviousRowBean managed bean is defined in request scope and is a generic bean that can be used for all the tables in your application that needs this layout style. As you can see the bean is a Map-style bean where we pass in the name of the attribute that should be compared with the previous row. The get method in the bean that is called returns boolean false when the attribute has the same value in the same row. Here is the code of the get method:  public Object get(Object key) {   String attrName = (String) key;   boolean isSame = false;   // get the currently processed row, using row expression #{row}   JUCtrlHierNodeBinding row = (JUCtrlHierNodeBinding) resolveExpression(getRowExpression());   JUCtrlHierBinding tableBinding = row.getHierBinding();   int rowRangeIndex = row.getViewObject().getRangeIndexOf(row.getRow());   Object currentAttrValue = row.getRow().getAttribute(attrName);   if (rowRangeIndex > 0)   {     Object previousAttrValue = tableBinding.getAttributeFromRow(rowRangeIndex - 1, attrName);     isSame = currentAttrValue != null && currentAttrValue.equals(previousAttrValue);   }   else if (tableBinding.getRangeStart() > 0)   {     // previous row is in previous range, we create separate rowset iterator,     // so we can change the range start without messing up the table rendering which uses     // the default rowset iterator     int absoluteIndexPreviousRow = tableBinding.getRangeStart() - 1;     RowSetIterator rsi = null;     try     {       rsi = tableBinding.getViewObject().getRowSet().createRowSetIterator(null);       rsi.setRangeStart(absoluteIndexPreviousRow);       Row previousRow = rsi.getRowAtRangeIndex(0);       Object previousAttrValue = previousRow.getAttribute(attrName);       isSame = currentAttrValue != null && currentAttrValue.equals(previousAttrValue);     }     finally     {       rsi.closeRowSetIterator();     }   }   return isSame; } The row expression defaults to #{row} but this can be changed through the rowExpression  managed property of the bean.  You can download the sample application here.

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  • Big Data – Various Learning Resources – How to Start with Big Data? – Day 20 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned how to become a Data Scientist for Big Data. In this article we will go over various learning resources related to Big Data. In this series we have covered many of the most essential details about Big Data. At the beginning of this series, I have encouraged readers to send me questions. One of the most popular questions is - “I want to learn more about Big Data. Where can I learn it?” This is indeed a great question as there are plenty of resources out to learn about Big Data and it is indeed difficult to select on one resource to learn Big Data. Hence I decided to write here a few of the very important resources which are related to Big Data. Learn from Pluralsight Pluralsight is a global leader in high-quality online training for hardcore developers.  It has fantastic Big Data Courses and I started to learn about Big Data with the help of Pluralsight. Here are few of the courses which are directly related to Big Data. Big Data: The Big Picture Big Data Analytics with Tableau NoSQL: The Big Picture Understanding NoSQL Data Analysis Fundamentals with Tableau I encourage all of you start with this video course as they are fantastic fundamentals to learn Big Data. Learn from Apache Resources at Apache are single point the most authentic learning resources. If you want to learn fundamentals and go deep about every aspect of the Big Data, I believe you must understand various concepts in Apache’s library. I am pretty impressed with the documentation and I am personally referencing it every single day when I work with Big Data. I strongly encourage all of you to bookmark following all the links for authentic big data learning. Haddop - The Apache Hadoop® project develops open-source software for reliable, scalable, distributed computing. Ambari: A web-based tool for provisioning, managing, and monitoring Apache Hadoop clusters which include support for Hadoop HDFS, Hadoop MapReduce, Hive, HCatalog, HBase, ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboard for viewing cluster health such as heat maps and ability to view MapReduce, Pig and Hive applications visually along with features to diagnose their performance characteristics in a user-friendly manner. Avro: A data serialization system. Cassandra: A scalable multi-master database with no single points of failure. Chukwa: A data collection system for managing large distributed systems. HBase: A scalable, distributed database that supports structured data storage for large tables. Hive: A data warehouse infrastructure that provides data summarization and ad hoc querying. Mahout: A Scalable machine learning and data mining library. Pig: A high-level data-flow language and execution framework for parallel computation. ZooKeeper: A high-performance coordination service for distributed applications. Learn from Vendors One of the biggest issues with about learning Big Data is setting up the environment. Every Big Data vendor has different environment request and there are lots of things require to set up Big Data framework. Many of the users do not start with Big Data as they are afraid about the resources required to set up framework as well as a time commitment. Here Hortonworks have created fantastic learning environment. They have created Sandbox with everything one person needs to learn Big Data and also have provided excellent tutoring along with it. Sandbox comes with a dozen hands-on tutorial that will guide you through the basics of Hadoop as well it contains the Hortonworks Data Platform. I think Hortonworks did a fantastic job building this Sandbox and Tutorial. Though there are plenty of different Big Data Vendors I have decided to list only Hortonworks due to their unique setup. Please leave a comment if there are any other such platform to learn Big Data. I will include them over here as well. Learn from Books There are indeed few good books out there which one can refer to learn Big Data. Here are few good books which I have read. I will update the list as I will learn more. Ethics of Big Data Balancing Risk and Innovation Big Data for Dummies Head First Data Analysis: A Learner’s Guide to Big Numbers, Statistics, and Good Decisions If you search on Amazon there are millions of the books but I think above three books are a great set of books and it will give you great ideas about Big Data. Once you go through above books, you will have a clear idea about what is the next step you should follow in this series. You will be capable enough to make the right decision for yourself. Tomorrow In tomorrow’s blog post we will wrap up this series of Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Data Storage Options

    - by Kenneth
    When I was working as a website designer/engineer I primarily used databases for storage of much of my dynamic data. It was very easy and convenient to use this method and seemed like a standard practice from my research on the matter. I'm now working on shifting away from websites and into desktop applications. What are the best practices for data storage for desktop applications? I ask because I have noticed that most programs I use on a personal level don't appear to use a database for data storage unless its embedded in the program. (I'm not thinking of an application like a word processor where it makes sense to have data stored in individual files as defined by the user. Rather I'm thinking of something more along the lines of a calendar application which would need to store dates and event info and such where accessing that information would be much easier if stored in a database... at least as far as my experience would indicate.) Thanks for the input!

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  • What is a Data Warehouse?

    Typically Data Warehouses are considered to be non-volatile in comparison to traditional databasesdue to the fact that data within the warehouse does not change that often.  In addition, Data Warehouses typically represent data through the use of Multidimensional Conceptual Views that allow data to be extracted based on the view and the current position within the view. Common Data Warehouse Traits Relatively Non-volatile Data Supports Data Extraction and Analysis Optimized for Data Retrieval and Analysis Multidimensional Views of Data Flexible Reporting Multi User Support Generic Dimensionality Transparent Accessible Unlimited Dimensions of Data Unlimited Aggregation levels of Data Normally, Data Warehouses are much larger then there traditional database counterparts due to the fact that they store the basis data along with derived data via Multidimensional Conceptual Views. As companies store larger and larger amounts of data, they will need a way to effectively and accurately extract analysis information that can be used to aide in formulating current and future business decisions. This process can be done currently through data mining within a Data Warehouse. Data Warehouses provide access to data derived through complex analysis, knowledge discovery and decision making. Secondly, they support the demands for high performance in regards to analyzing an organization’s existing and current data. Data Warehouses provide support for an organization’s data and acquired business knowledge.  Within a Data Warehouse multiple types of operations/sub systems are supported. Common Data Warehouse Sub Systems Online Analytical Processing (OLAP) Decision –Support Systems (DSS) Online Transaction Processing (OLTP)

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  • Using Groovy Aggregate Functions in ADF BC

    - by Sireesha Pinninti
    This article explains how groovy aggregate functions(sum, count, min, max and avg) can be used in ADF Business components and demonstrates how these can be used at entity and view level Let's consider EMP and DEPT tables and an usecase to track number of employees in each department   Entity-Level To use aggregate functions at entity level, we need to have association between entities representing master and child relationship and the destination accessor name is what we are going to use in our groovy Syntax: <Accessor>.count(Groovyexpression) - Note down the destination accessor name(EMP) in the association or AccessorAttribute name in source entity - Add a transient attribute in source entity with persistent property set to false and provide the groovy expression in the syntax provided above - Finally, Add newly added attribute to view object View-Level To use aggregate functions at view level, we need to have a view link between viewobjects representing master and child relationship and the destination accessor name is what we are going to use in our groovy Syntax: <ViewLinkAccessor>.count(Groovyexpression) - Note down the destination accessor name(EmpView) in the view link or viewLinkAccessor name in source view - Add a transient attribute in view object and provide a groovy aggregate function count as a value to it in the syntax provided above Now, If you run application module tester and execute DeptView / ViewLink, you should see employee count in EmpCount field  In similar way, one can use other groovy aggregate functions sum, avg, min and max.

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  • Building Great-Looking, Usable Apps: A two-day workshop applying Oracle’s best UX practices in ADF

    - by mvaughan
    By Misha Vaughan, Oracle Applications User ExperienceI have been with Oracle for more than 12 years. It is a company that has granted me extraordinary creative freedom to help deliver compelling experiences for customers.I am beyond proud to talk about one of the experiences we just took for a test drive. Recently, we delivered a first-of-its-kind, three-team collaboration, train-the-trainer event in Reading, U.K., on building great-looking, usable apps based on Oracle Fusion Applications -- using the ADF tool kit. A new kind of workshopKevin Li, Platform Product Director, asked the Oracle Applications User Experience VP, Jeremy Ashley, if the team had anything to help partners and customers build applications that looked like Fusion. He was receiving this request from European partners and customers.Some quick conversations ensued, and the idea for the workshop was born: We would conduct an experiment.  We would work with feedback from the key Platform Technology Solutions (PTS) trainers under Andre Pavanello, Director, Platform Technology Solutions, in Europe, Middle East, and Africa. We would partner with the ADF team lead by Grant Ronald, Director of Product Management, title> and leverage the Applications UX expertise in Ashley’s team.The goal: Create a pilot workshop that in two days would explain to an ADF developer how to leverage the next-generation user experience best-practices developed for Fusion Apps. Why? Customers who need integrations with Oracle Fusion Applications, who are looking for custom applications that need to co-exist with Fusion, or who quite simply want a next-generation design for a custom app, need their solutions to reflect the next-generation research and design.Building an event for an ADF developerThe biggest hurdle was figuring out where to start.  How far into user experience country do you take an ADF developer? How far into ADF do you need to go if you are a UX professional?After some time in the UX kitchen, the workshop recipe looked like this: Mix equal parts: Fusion user experience design principles and functional design patterns The art and science behind UX How to wireframe designs that you can build in Fusion How to translate those designs into an ADF application Ultan O’Broin, Director of Global User Experience, explaining the trouble ticket wireframe design exerciseLynn Munsinger, Senior Group Product Manager, explaining the follow-on trouble ticket ADF coding exercise For spice, add:•    Debra Lilley, Fujitsu and ACE director, showcasing some of the latest ADF design work in the new face of Fusion Applications •    Partner show-and-tell of example apps they have built with FMW and ADF that are dynamic, beautiful, and interactive.Debra Lilley, Oracle ACE Director and Fujitsu Fusion Champion on the new face of Fusion built with ADF and Fusion extensibility with composers as a window into “the possible”?The taste testThis first go-round of the workshop was aimed squarely at ADF developers and partners.  We were privileged to have participation and feedback from:•    Sten Vesterli, Scott/Tiger S. A., Denmark•    John Sim, Fishbowl Solutions, UK•    Josef Huber, Primus Delphi Group, Munich•    Thaddaus Weindl, Primus Delphi, Group , Munich•    Praveen Pillalamarri, EiS Technologies, Bangalore•    Balaji Kamepalli, EiS Technologies, Bangalore•    Plinio Arbizu, Services & Processes Solutions S. A., Mexico•    Yannick Ongena, infoMENTUM, UK•    Jakub Ciszek, infoMENTUM, UK•    Mauro Flores, infoMENTUM, UK•    Matteo Formica, infoMENTUM, UKRichard Bingham, Oracle, Mauro Flores and Matteo Formica, infoMENTUMWhy is this so exciting?  Oracle has invested heavily in the research and development of the Oracle Fusion Applications user experience. This investment has been and continues to be applied across the product lines. Now, we finally get to teach customers and partners how to take advantage of this investment for custom solutions.This event was a pilot to test-drive the content, as well as a train-the-trainer event that our EMEA colleagues will be using with partners who want to build with Fusion Apps design patterns.What did attendees think?"I liked most the science stuff, like eye-tracking, design patterns and best-practice (color, contrast),” Josef Huber said. “It was a very good introduction to UI design, and most developers and project managers are very bad in that.  So this course would be good for all developers and even project managers." Team Anonymous: John Sim, Fishbowl Solutions, Flavius Sana, Oracle, Josef Huber, infoMENTUM, Mireille Duroussaud, Oracle. Winners of the wireframing design exercise.  Sten Vesterli, of Scott/Tiger, said he attended to learn techniques he could use in his own projects. He wants to ensure that his applications better meet the needs of his users, and he said sessions during the workshop on user interface design and wireframing were most useful to him.  “Go to this event to learn the art and science of good user interfaces from people who really know how to do it,” he said.Sten Vesterli, Scott/Tiger, Angelo Santagata, Oracle Plinio Arbizu said the workshop fulfilled his goals, thanks to the recommendations given in how to design user interfaces to facilitate the adoption of applications among the final users. “The workshop combined these recommendations with an exercise that improved the technical comprehension, permitting the usage of JDeveloper to set forth our solutions,” he said. He added: “The first session that I really enjoyed was the five Fusion design principles. It was incredible to discover how these simple principles were included in an inherit manner in Fusion Applications, and I had been using many of them applying only ADF components.  Another topic that I enjoyed a lot was the eight recommendations about the visual design of UIs. The issues that were raised in that lesson are unknown to the developers and of great value to achieve an attractive presentation layer to the end users.  Participate in this workshop, and include these usability features in your projects and in this manner not only to facilitate and improve the user productivity, but also to distinguish you as a professional who takes advantage fully of the functionalities offered by Oracle technology. Praveen Pillalamarri came to the workshop to learn about the difficulties faced in UI and UX development, and how this can be resolved with the help of ADF.  He also appreciated the opportunity to talk with other individuals who came to the workshop. Pillalmarri said, “The way we looked at things in terms of work and projects were sharpened.  UI and UX design knowledge shared by you was quite interesting, especially the minute things which we ignored in the UI or UX design.” Plinio Arbizu, Services & Processes Solutions S. A., Richard Bingham, Oracle, Balaji Kamepalli, & Praveen Pillalamarri, EiS TechnologiesReady to spread the wordIn EMEA, Oracle customers and partners have access to three world-class trainers via Platform Technology Solutions: Mireille Duroussaud, Flavius Sana, and Angelo Santagata. Contact Andre Pavanello if you like to experience this workshop firsthand, or you have customers or partners who would benefit from the training.We are looking to bring the event to the U.S. in spring 2013. If you have interest in this kind of a workshop, leave a comment below. For those who want to follow the action, join the ADF Enterprise Methodology Group run by Oracle’s Chris Muir. Ask questions and continue with the conversation in this forum, or check blogs.oracle.com/usableapps for topics emerging from the workshop.

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  • ADF for German Speakers

    - by shay.shmeltzer
    If you know German and you are using ADF then you'll be interested in the ADF special interest group the guys over at Germany established - The deutschen ADF Community. Details here: http://www.oracle.com/global/de/community/adf/index.html If you are an English speaker - then at least you have the ADF Enterprise Methodology Group - which you should join if you haven't already.

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  • How-to logout from ADF Security

    - by frank.nimphius
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size: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;} ADF Security configures an authentication servlet, AuthenticationServlet, in the web.xml file that also provides a logout functionality. Developers can invoke the logout by a redirect performed from an action method in a managed bean as shown next  public String onLogout() {   FacesContext fctx = FacesContext.getCurrentInstance();   ExternalContext ectx = fctx.getExternalContext();   String url = ectx.getRequestContextPath() +              "/adfAuthentication?logout=true&end_url=/faces/Home.jspx";       try {     ectx.redirect(url);   } catch (IOException e) {     e.printStackTrace();   }   fctx.responseComplete();   return null; } To use this functionality in your application, change the Home.jspx reference to a public page of yours that the user is redirected to after successful logout. Note that for a successful logout, authentication should be through form based authentication. Basic authentication is known as browser sign-on and re-authenticates users after the logout redirect. Basic authentication is confusing to many developers for this reason.

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  • Oracle ADF Mobile

    - by Cinzia Mascanzoni
    We are happy to announce that Oracle ADF Mobile is now available for our customers.Oracle ADF Mobile enables developer to build applications that install and run on both iOS and Android devices from one source code. Development is done with JDeveloper and ADF and leverages Java and HTML5 technologies, while keeping the same visual and declarative approach ADF is known for. Please Click here to read more about the Oracle ADF Mobile release and learn more on our OTN Page.

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  • How Do You Actually Model Data?

    Since the 1970’s Developers, Analysts and DBAs have been able to represent concepts and relations in the form of data through the use of generic symbols.  But what is data modeling?  The first time I actually heard this term I could not understand why anyone would want to display a computer on a fashion show runway. Hey, what do you expect? At that time I was a freshman in community college, and obviously this was a long time ago.  I have since had the chance to learn what data modeling truly is through using it. Data modeling is a process of breaking down information and/or requirements in to common categories called objects. Once objects start being defined then relationships start to form based on dependencies found amongst other existing objects.  Currently, there are several tools on the market that help data designer actually map out objects and their relationships through the use of symbols and lines.  These diagrams allow for designs to be review from several perspectives so that designers can ensure that they have the optimal data design for their project and that the design is flexible enough to allow for potential changes and/or extension in the future. Additionally these basic models can always be further refined to show different levels of details depending on the target audience through the use of three different types of models. Conceptual Data Model(CDM)Conceptual Data Models include all key entities and relationships giving a viewer a high level understanding of attributes. Conceptual data model are created by gathering and analyzing information from various sources pertaining to a project during the typical planning phase of a project. Logical Data Model (LDM)Logical Data Models are conceptual data models that have been expanded to include implementation details pertaining to the data that it will store. Additionally, this model typically represents an origination’s business requirements and business rules by defining various attribute data types and relationships regarding each entity. This additional information can be directly translated to the Physical Data Model which reduces the actual time need to implement it. Physical Data Model(PDMs)Physical Data Model are transformed Logical Data Models that include the necessary tables, columns, relationships, database properties for the creation of a database. This model also allows for considerations regarding performance, indexing and denormalization that are applied through database rules, data integrity. Further expanding on why we actually use models in modern application/database development can be seen in the benefits that data modeling provides for data modelers and projects themselves, Benefits of Data Modeling according to Applied Information Science Abstraction that allows data designers remove concepts and ideas form hard facts in the form of data. This gives the data designers the ability to express general concepts and/or ideas in a generic form through the use of symbols to represent data items and the relationships between the items. Transparency through the use of data models allows complex ideas to be translated in to simple symbols so that the concept can be understood by all viewpoints and limits the amount of confusion and misunderstanding. Effectiveness in regards to tuning a model for acceptable performance while maintaining affordable operational costs. In addition it allows systems to be built on a solid foundation in terms of data. I shudder at the thought of a world without data modeling, think about it? Data is everywhere in our lives. Data modeling allows for optimizing a design for performance and the reduction of duplication. If one was to design a database without data modeling then I would think that the first things to get impacted would be database performance due to poorly designed database and there would be greater chances of unnecessary data duplication that would also play in to the excessive query times because unneeded records would need to be processed. You could say that a data designer designing a database is like a box of chocolates. You will never know what kind of database you will get until after it is built.

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  • Data Structures usage and motivational aspects

    - by Aubergine
    For long student life I was always wondering why there are so many of them yet there seems to be lack of usage at all in many of them. The opinion didn't really change when I got a job. We have brilliant books on what they are and their complexities, but I never encounter resources which would actually give a good hint of practical usage. I perfectly understand that I have to look at problem , analyse required operations, look for data structure that does them efficiently. However in practice I never do that, not because of human laziness syndrome, but because when it comes to work I acknowledge time priority over self-development. Over time I thought that when I would be better developer I will automatically use more of them - that didn't happen at all or maybe I just didn't. Then I found that the colleagues usually in the same plate as me - knowing more or less some three of data structures and being totally happy about it and refusing to discuss this matter further with me, coming back to conversations about 'cool new languages' 'libraries that do jobs for you' and the joy to work under scrumban etc. I am stuck with ArrayLists, Arrays and SortedMap , which no matter what I do always suffice or either I tweak them to be capable of fulfilling my task. Yes, it might be inefficient but do we really have to care if Intel increases performance over years no matter if we improve our skills? Does new Xeon or IBM machines really care what we use? What if I like build things, but I am not particularly excited whether it is n log(n) or just n? Over twenty years the processing power increased enormously, which gives us freedom of not being critical about which one to use? On top of that new more optimized languages appear which support multiple cores more efficiently. To be more specific: I would like to find motivational material on complex real areas/cases of possible effective usages of data structures. I would be really grateful if you would provide relevant resources. There is similar question ,but in the end the links again mostly describe or do dumb example(vehicles, students or holy grail quest - yes, very relevant) them and people keep referring to the "scenario decides the data structure to use". I want to know these complex scenarios to be able to identify similarities to my scenario and then use them. The complex scenarios where it really matters and not necessarily of quantitive nature. It seems that data structures only concern is efficiency and nothing else? There seems to be no particular convenience for developer in use one over another. (only when I found scientific resources on why exactly simple carbohydrates are evil I stopped eating sugar and candies completely replacing it with less harmful fruits - I hope you can see the analogy)

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  • Unleash AutoVue on Your Unmanaged Data

    - by [email protected]
    Over the years, I've spoken to hundreds of customers who use AutoVue to collaborate on their "managed" data stored in content management systems, product lifecycle management systems, etc. via our many integrations. Through these conversations I've also learned a harsh reality - we will never fully move away from unmanaged data (desktops, file servers, emails, etc). If you use AutoVue today you already know that even if your primary use is viewing content stored in a content management system, you can still open files stored locally on your computer. But did you know that AutoVue actually has - built-in - a great solution for viewing, printing and redlining your data stored on file servers? Using the 'Server protocol' you can point AutoVue directly to a top-level location on any networked file server and provide your users with a link or shortcut to access an interface similar to the sample page shown below. Many customers link to pages just like this one from their internal company intranets. Through this webpage, users can easily search and browse through file server data with a 'click-and-view' interface to find the specific image, document, drawing or model they're looking for. Any markups created on a document will be accessible to everyone else viewing that document and of course real-time collaboration is supported as well. Customers on maintenance can consult the AutoVue Admin guide or My Oracle Support Doc ID 753018.1 for an introduction to the server protocol. Contact your local AutoVue Solutions Consultant for help setting up the sample shown above.

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  • SQL SERVER – Step by Step Guide to Beginning Data Quality Services in SQL Server 2012 – Introduction to DQS

    - by pinaldave
    Data Quality Services is a very important concept of SQL Server. I have recently started to explore the same and I am really learning some good concepts. Here are two very important blog posts which one should go over before continuing this blog post. Installing Data Quality Services (DQS) on SQL Server 2012 Connecting Error to Data Quality Services (DQS) on SQL Server 2012 This article is introduction to Data Quality Services for beginners. We will be using an Excel file Click on the image to enlarge the it. In the first article we learned to install DQS. In this article we will see how we can learn about building Knowledge Base and using it to help us identify the quality of the data as well help correct the bad quality of the data. Here are the two very important steps we will be learning in this tutorial. Building a New Knowledge Base  Creating a New Data Quality Project Let us start the building the Knowledge Base. Click on New Knowledge Base. In our project we will be using the Excel as a knowledge base. Here is the Excel which we will be using. There are two columns. One is Colors and another is Shade. They are independent columns and not related to each other. The point which I am trying to show is that in Column A there are unique data and in Column B there are duplicate records. Clicking on New Knowledge Base will bring up the following screen. Enter the name of the new knowledge base. Clicking NEXT will bring up following screen where it will allow to select the EXCE file and it will also let users select the source column. I have selected Colors and Shade both as a source column. Creating a domain is very important. Here you can create a unique domain or domain which is compositely build from Colors and Shade. As this is the first example, I will create unique domain – for Colors I will create domain Colors and for Shade I will create domain Shade. Here is the screen which will demonstrate how the screen will look after creating domains. Clicking NEXT it will bring you to following screen where you can do the data discovery. Clicking on the START will start the processing of the source data provided. Pre-processed data will show various information related to the source data. In our case it shows that Colors column have unique data whereas Shade have non-unique data and unique data rows are only two. In the next screen you can actually add more rows as well see the frequency of the data as the values are listed unique. Clicking next will publish the knowledge base which is just created. Now the knowledge base is created. We will try to take any random data and attempt to do DQS implementation over it. I am using another excel sheet here for simplicity purpose. In reality you can easily use SQL Server table for the same. Click on New Data Quality Project to see start DQS Project. In the next screen it will ask which knowledge base to use. We will be using our Colors knowledge base which we have recently created. In the Colors knowledge base we had two columns – 1) Colors and 2) Shade. In our case we will be using both of the mappings here. User can select one or multiple column mapping over here. Now the most important phase of the complete project. Click on Start and it will make the cleaning process and shows various results. In our case there were two columns to be processed and it completed the task with necessary information. It demonstrated that in Colors columns it has not corrected any value by itself but in Shade value there is a suggestion it has. We can train the DQS to correct values but let us keep that subject for future blog posts. Now click next and keep the domain Colors selected left side. It will demonstrate that there are two incorrect columns which it needs to be corrected. Here is the place where once corrected value will be auto-corrected in future. I manually corrected the value here and clicked on Approve radio buttons. As soon as I click on Approve buttons the rows will be disappeared from this tab and will move to Corrected Tab. If I had rejected tab it would have moved the rows to Invalid tab as well. In this screen you can see how the corrected 2 rows are demonstrated. You can click on Correct tab and see previously validated 6 rows which passed the DQS process. Now let us click on the Shade domain on the left side of the screen. This domain shows very interesting details as there DQS system guessed the correct answer as Dark with the confidence level of 77%. It is quite a high confidence level and manual observation also demonstrate that Dark is the correct answer. I clicked on Approve and the row moved to corrected tab. On the next screen DQS shows the summary of all the activities. It also demonstrates how the correction of the quality of the data was performed. The user can explore their data to a SQL Server Table, CSV file or Excel. The user also has an option to either explore data and all the associated cleansing info or data only. I will select Data only for demonstration purpose. Clicking explore will generate the files. Let us open the generated file. It will look as following and it looks pretty complete and corrected. Well, we have successfully completed DQS Process. The process is indeed very easy. I suggest you try this out yourself and you will find it very easy to learn. In future we will go over advanced concepts. Are you using this feature on your production server? If yes, would you please leave a comment with your environment and business need. It will be indeed interesting to see where it is implemented. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Business Intelligence, Data Warehousing, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Data Quality Services, DQS

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  • Consolidate Data in Private Clouds, But Consider Security and Regulatory Issues

    - by Troy Kitch
    The January 13 webcast Security and Compliance for Private Cloud Consolidation will provide attendees with an overview of private cloud computing based on Oracle's Maximum Availability Architecture and how security and regulatory compliance affects implementations. Many organizations are taking advantage of Oracle's Maximum Availability Architecture to drive down the cost of IT by deploying private cloud computing environments that can support downtime and utilization spikes without idle redundancy. With two-thirds of sensitive and regulated data in organizations' databases private cloud database consolidation means organizations must be more concerned than ever about protecting their information and addressing new regulatory challenges. Join us for this webcast to learn about greater risks and increased threats to private cloud data and how Oracle Database Security Solutions can assist in securely consolidating data and meet compliance requirements. Register Now.

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  • Validating Data Using Data Annotation Attributes in ASP.NET MVC

    - by bipinjoshi
    The data entered by the end user in various form fields must be validated before it is saved in the database. Developers often use validation HTML helpers provided by ASP.NET MVC to perform the input validations. Additionally, you can also use data annotation attributes from the System.ComponentModel.DataAnnotations namespace to perform validations at the model level. Data annotation attributes are attached to the properties of the model class and enforce some validation criteria. They are capable of performing validation on the server side as well as on the client side. This article discusses the basics of using these attributes in an ASP.NET MVC application.http://www.bipinjoshi.net/articles/0a53f05f-b58c-47b1-a544-f032f5cfca58.aspx       

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  • ADF version of "Modern" dialog windows

    - by Martin Deh
    It is no surprise with the popularity of the i-devices (iphone, ipad), that many of the iOS UI based LnF (look and feel) would start to inspire web designers to incorporate the same LnF into their web sites.  Take for example, a normal dialog popup.  In the iOS world, the LnF becomes a bit more elegant by add just a simple element as a "floating" close button: In this blog post, I will describe how this can be accomplished using OOTB ADF components and CSS3 style elements. There are two ways that this can be achieved.  The easiest way is to simply replace the default image, which looks like this, and adjust the af|panelWindow:close-icon-style skin selector.   Using this simple technique, you can come up with this: The CSS code to produce this effect is pretty straight forward: af|panelWindow.test::close-icon-style{    background-image: url("../popClose.gif");    line-height: 10px;    position: absolute;    right: -10px;    top: -10px;    height:38px;    width:38px;    outline:none; } You can see from the CSS, the position of the region, which holds the image, is relocated based on the position based attributes.  Also, the addition of the "outline" attribute removes the border that is visible in Chrome and IE.  The second example, is based on not having an image to produce the close button.  Like the previous sample, I will use the OOTB panelWindow.  However, this time I will use a OOTB commandButton to replace the image.  The construct of the components looks like this: The commandButton is positioned first in the hierarchy making the re-positioning easier.  The commandButton will also need a style class assigned to it (i.e. closeButton), which will allow for the positioning and the over-riding of the default skin attributes of a default button.  In addition, the closeIconVisible property is set to false, since the default icon is no longer needed.  Once this is done, the rest is in the CSS.  Here is the sample that I created that was used for an actual customer POC: The CSS code for the button: af|commandButton.closeButton, af|commandButton.closeButton af|commandButton:text-only{     line-height: 10px;     position: absolute;     right: -10px;     top: -10px;     -webkit-border-radius: 70px;     -moz-border-radius: 70px;     -ms-border-radius: 70px;     border-radius: 70px;     background-image:none;     border:#828c95 1px solid;     background-color:black;     font-weight: bold;     text-align: center;     text-decoration: none;     color:white;     height:30px;     width:30px;     outline:none; } The CSS uses the border radius to create the round effect on the button (in IE 8, since border-radius is not supported, this will only work with some added code). Also, I add the box-shadow attribute to the panelWindow style class to give it a nice shadowing effect.

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  • Update/Insert With ADF Web Service Data Control

    - by shay.shmeltzer
    The Web service data control (WSDC) in ADF is a powerful feature that allows you to easily build a UI on top of WS interfaces exposed by other systems. However when you drag a WSDC to a page you usually get a set of output components where the data is shown. So how would you actually do an update operation on those values? The answer is that you need a call to another method in your WSDC that does the update - but what if you want to pass to it the actual values that you get from the get method you invoked before? Here is a demo showing how to do that: The two tricks that are shown here are: Changing the properties of items in the DC to be updateable - this gives you inputText fields instead of outputText fields. And passing the currentRow.dataProvider to the update method (and choosing the right iterator for this).

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  • Oracle Virtual Developer Day: Oracle Fusion Development

    - by rituchhibber
    Get up to date and learn everything you wanted to know about Oracle ADF & Fusion Development plus live Q&A chats with Oracle technical staff. Oracle Application Development Framework (ADF) is the standards based, strategic framework for Oracle Fusion Applications and Oracle Fusion Middleware. Oracle ADF's integration with the Oracle SOA Suite, Oracle WebCenter and Oracle BI creates a complete productive development platform for your custom applications. Join us at this FREE virtual event and learn the latest in Fusion Development including: Is Oracle ADF development faster and simpler than Forms, Apex or .Net? Mobile Application Development with ADF Mobile Oracle ADF development with Eclipse Oracle WebCenter Portal and ADF Development Application Lifecycle Management with ADF Building Process Centric Applications with ADF and BPM Oracle Business Intelligence and ADF Integration Live Q&A chats with Oracle technical staff Developer lead, manager or architect - this event has something for everyone. Don't miss this opportunity. December 11th, 2012, at 9:00 – 13:00 GMT/ 10:00 - 14:00 CET Register online now for this FREE event! Agenda 9:00 am - 9:30 am Opening 9:30 am - 10:00 am Keynote Oracle Fusion Development Track 1 Introduction to Fusion Development Track 2 What's New in Fusion Development Track 3 Fusion Development in the Enterprise Track 4 Hands On Lab - WebCenter Portal and ADF Lab w/ JDeveloper 10:00 am - 11:00 am Is Oracle ADF development faster and simpler than Forms, Apex or .Net? Mobile Application Development with ADF Mobile Oracle WebCenter Portal and ADF Development Lab materials can be found on event wiki here. Q&A about the lab is available throughout the event. 11:00 am - 12:00 pm Rich Web UI made simple - an ADF Faces Overview Oracle Enterprise Pack for Eclipse - ADF Development Building Process Centric Applications with ADF and BPM 12:00 pm - 1:00 pm Next Generation Controller for JSF Application Lifecycle Management for ADF Oracle Business Intelligence and ADF Integration Click here to view session Abstracts. We look forward to welcoming you at this free event!

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