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  • Review: Data Modeling 101

    I just recently read “Data Modeling 101”by Scott W. Ambler where he gave an overview of fundamental data modeling skills. I think this article was excellent for anyone who was just starting to learn or refresh their skills in regards to the modeling of data.  Scott defines data modeling as the act of exploring data oriented structures.  He goes on to explain about how data models are actually used by defining three different types of models. Types of Data Models Conceptual Data Model  Logical Data Model (LDMs) Physical Data Model(PDMs) He further expands on modeling by exploring common data modeling notations because there are no industry standards for the practice of data modeling. Scott then defines how to actually model data by expanding on entities, attributes, identities, and relationships which are the basic building blocks of data models. In addition he discusses the value of normalization for redundancy and demoralization for performance. Finally, he discuss ways in which Developers and DBAs can become better data modelers through the use of practice, and seeking guidance from more experienced data modelers.

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  • HTML5 data-* (custom data attribute)

    - by Renso
    Goal: Store custom data with the data attribute on any DOM element and retrieve it. Previously under HTML4 we used to use classes to store custom data, something to the affect of <input class="account void limit-5000 over-4999" /> and then have to parse the data out of the class In a book published by Peter-Paul Koch in 2007, ppk on JavaScript, he explains why and how to use custom attributes to make data more accessible to JavaScript, using name-value pairs. Accessing a custom attribute account-limit=5000 is much easier and more intuitive than trying to parse it out of a class, Plus, what if the class name for example "color-5" has a representative class definition in a CSS stylesheet that hides it away or worse some JavaScript plugin that automatically adds 5000 to it, or something crazy like that, just because it is a valid class name. As you can see there are quite a few reasons why using classes is a bad design and why it was important to define custom data attributes in HTML5. Syntax: You define the data attribute by simply prefixing any data item you want to store with any HTML element with "data-". For example to store our customers account data with a hidden input element: <input type="hidden" data-account="void" data-limit=5000 data-over=4999  /> How to access the data: account  -     element.dataset.account limit    -     element.dataset.limit You can also access it by using the more traditional get/setAttribute method or if using jQuery $('#element').attr('data-account','void') Browser support: All except for IE. There is an IE hack around this at http://gist.github.com/362081. Special Note: Be AWARE, do not use upper-case when defining your data elements as it is all converted to lower-case when reading it, so: data-myAccount="A1234" will not be found when you read it with: element.dataset.myAccount Use only lowercase when reading so this will work: element.dataset.myaccount

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  • Master Data Management – A Foundation for Big Data Analysis

    - by Manouj Tahiliani
    While Master Data Management has crossed the proverbial chasm and is on its way to becoming mainstream, businesses are being hammered by a new megatrend called Big Data. Big Data is characterized by massive volumes, its high frequency, the variety of less structured data sources such as email, sensors, smart meters, social networks, and Weblogs, and the need to analyze vast amounts of data to determine value to improve upon management decisions. Businesses that have embraced MDM to get a single, enriched and unified view of Master data by resolving semantic discrepancies and augmenting the explicit master data information from within the enterprise with implicit data from outside the enterprise like social profiles will have a leg up in embracing Big Data solutions. This is especially true for large and medium-sized businesses in industries like Retail, Communications, Financial Services, etc that would find it very challenging to get comprehensive analytical coverage and derive long-term success without resolving the limitations of the heterogeneous topology that leads to disparate, fragmented and incomplete master data. For analytical success from Big Data or in other words ROI from Big Data Investments, businesses need to acquire, organize and analyze the deluge of data to make better decisions. There will need to be a coexistence of structured and unstructured data and to maintain a tight link between the two to extract maximum insights. MDM is the catalyst that helps maintain that tight linkage by providing an understanding about the identity, characteristics of Persons, Companies, Products, Suppliers, etc. associated with the Big Data and thereby help accelerate ROI. In my next post I will discuss about patterns for co-existing Big Data Solutions and MDM. Feel free to provide comments and thoughts on above as well as Integration or Architectural patterns.

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  • How to Assure an Effective Data Model

    As a general rule in my opinion the effectiveness of a data model can be directly related to the accuracy and complexity of a project’s requirements. For example there is no need to work on very detailed data models when the details surrounding a specific data model have not been defined or even clarified. Developing data models when the clarity of project requirements is limited tends to introduce designed issues because the proper details to create an effective data model are not even known. One way to avoid this issue is to create data models that correspond to the complexity of the existing project requirements so that when requirements are updated then new data models can be created based any new discoveries regarding requirements on a fine grain level.  This allows for data models to be composed of general entities to be created initially when a project’s requirements are very vague and then the entities are refined as new and more substantial requirements are defined or redefined. This promotes communication amongst all stakeholders within a project as they go through the process of defining and finalizing project requirements.In addition, here are some general tips that can be applied to projects in regards to data modeling.Initially model all data generally and slowly reactor the data model as new requirements and business constraints are applied to a project.Ensure that data modelers have the proper tools and training they need to design a data model accurately.Create a common location for all project documents so that everyone will be able to review a project’s data models along with any other project documentation.All data models should follow a clear naming schema that tells readers the intended purpose for the data and how it is going to be applied within a project.

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  • Is there a dojo enhanced grid example with context menu

    - by user102023
    I am looking for an example of a dojo enhanced grid that contains a context menu on either a cell or row menu where the cell or row data is accessed. I have managed to create an enhanced grid with a row context menu. I can create a function that captures the event of clicking on the row menu item. However, I am not sure how to access the row data in the context of the menu item handler. I have not seen any example in the tests of the nightly build. Is there an example of this available online?

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  • Dojo How to ColorPalette + TooltipDialog + DropDownButton

    - by portoalet
    I am trying to add a ColorPalette into a TooltipDialog, which in turn is contained inside DropDownButton (dojo 1.3.1) Code: var paramsContent = new dijit.layout.ContentPane(); var colorPalette = new dijit.ColorPalette(); var tooltipThematic = new dijit.TooltipDialog({content: paramsContent}); var colorField = new dijit.form.DropDownButton( {label: 'Select Color', dropDown: tooltipThematic } ); How can I add the colorPalette into tooltipThematic? I did var tooltipThematic = new dijit.TooltipDialog(new dijit.ColorPalette()) but then I got this message: Already registered widget (error message on 1.0) http://o.dojotoolkit.org/forum/dijit-dijit-0-9/dijit-support/already-registered-widget-error-message How can I add the ColorPalette into the TooltipDialog?

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  • Dojo slider: update value dynamically

    - by xApple
    I am building an application where the user browses certain objects by scrolling and zooming. To change the zoom level I have successfully implemented a "dijit.form.HorizontalSlider" object. Every time the user changes the position of the silder, I can catch the "onChange" call and do something with that. However, the user can also zoom-in by double clicking inside the view zone, at which point the slider should change position automatically to reflect the new zoom level. My question is the following: what function or method should I call in my javascript to update the position of a dojo silder ? Here is the code that creates the silder object: var zoomSlider = new dijit.form.HorizontalSlider({ name: "zoom_slider", id: "zoom_slider", value: 0, minimum: 0, maximum: 19, discreteValues: 20, intermediateChanges: false, style: "width: 160px;", onChange: function(value) { brwsr.view.zoomTo(value); } }, "zoom_slider"); navbox_silder.appendChild(zoomSlider.domNode);

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  • Removing duplicates from a Dojo FilteringSelect

    - by chrismacp
    Hi, I'm trying to remove duplicates from a Dojo FilteringSelect without changing the contents of the attached itemFileReadStore data store. I can't seem to find any information on how this is done, if it is indeed possible. I'm thinking I may have to extend the FilteringSelect Dijit and provide the functionality myself but I'm hoping to not have to. The reason I'm trying to remove duplicates with the FilteringSelect and not the data store is because I'm using the same data store with three instances of the FitleringSelect, each displaying different values from each row of the store.

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  • dojo 1.4: difference in tree html rendering

    - by Fell
    Hi, I have written an application using dojo 1.3 in which i have used the dijit tree. I am loading the tree with json data specified in the store which is in turn used by the tree model. In the 1.3 version the tree elements pick up the id directly from the json data.However in 1.4 the tree elements have their own id which is something like dijit__treenode_4. The id's that I have specified in json are unique and im not able to understand why these are not being used anymore. Please help me understand how this functionality has changed and how I can override the automatic id generation.. Thanks in advance, Fell

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  • How to get data in the servlet send via dojo.xhrPost

    - by snell
    > var xhrArgs = { > url: '/mum/proxy/http/localhost:8080/DemoProject/MyServlet', > postData:' MyDataToBeSend', > handleAs: 'text', > load: function(data) { }, > error: function(error) {alert(error);}}; var ret = > dojo.xhrGet(xhrArgs); Hi All, I have written the above code in Javascript to send data to a servlet. But I am not understanding how to get the postData in the servlet.

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  • Dojo Select widget validation style

    - by jamstooks
    Many dojo form widgets, like DateTextBox will style themselves in red (claro theme) with an "!" to indicate that the field isn't valid after focus. I can't seem to get this type of styling to work with the Select widget. I have the value set to required, but if the user leaves it in the default state, blank, then it remains unstyled. I tried to test this programmatically: wigs = dijit.findWidgets(node); for( i = 0; i < wigs.length; i++ ) { wigs[i].focus(); } This triggers validation on several other widgets and they are styled appropriately, but not he Select widgets. Anyone know how to make it obvious that those select widgets are not validating? Oh, and wigs[i].isValid() is definitely false for those select widgets.

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  • get drop down value using dojo

    - by vetri
    I have struts code like <html:select property="ce"> <html:option value = "5">5</html:option> <html:option value = "10">10</html:option> <html:option value = "15">15</html:option> </html:select> <div id="dis"> <div> if a option is selected,dojo should get the valu and multiply by 10 and display that in the div?how to do that.

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  • SQL SERVER – Why Do We Need Data Quality Services – Importance and Significance of Data Quality Services (DQS)

    - by pinaldave
    Databases are awesome.  I’m sure my readers know my opinion about this – I have made SQL Server my life’s work after all!  I love technology and all things computer-related.  Of course, even with my love for technology, I have to admit that it has its limits.  For example, it takes a human brain to notice that data has been input incorrectly.  Computer “brains” might be faster than humans, but human brains are still better at pattern recognition.  For example, a human brain will notice that “300” is a ridiculous age for a human to be, but to a computer it is just a number.  A human will also notice similarities between “P. Dave” and “Pinal Dave,” but this would stump most computers. In a database, these sorts of anomalies are incredibly important.  Databases are often used by multiple people who rely on this data to be true and accurate, so data quality is key.  That is why the improved SQL Server features Master Data Management talks about Data Quality Services.  This service has the ability to recognize and flag anomalies like out of range numbers and similarities between data.  This allows a human brain with its pattern recognition abilities to double-check and ensure that P. Dave is the same as Pinal Dave. A nice feature of Data Quality Services is that once you set the rules for the program to follow, it will not only keep your data organized in the future, but go to the past and “fix up” any data that has already been entered.  It also allows you do combine data from multiple places and it will apply these rules across the board, so that you don’t have any weird issues that crop up when trying to fit a round peg into a square hole. There are two parts of Data Quality Services that help you accomplish all these neat things.  The first part is DQL Server, which you can think of as the hardware component of the system.  It is installed on the side of (it needs to install separately after SQL Server is installed) SQL Server and runs quietly in the background, performing all its cleanup services. DQS Client is the user interface that you can interact with to set the rules and check over your data.  There are three main aspects of Client: knowledge base management, data quality projects and administration.  Knowledge base management is the part of the system that allows you to set the rules, or program the “knowledge base,” so that your database is clean and consistent. Data Quality projects are what run in the background and clean up the data that is already present.  The administration allows you to check out what DQS Client is doing, change rules, and generally oversee the entire process.  The whole process is user-friendly and a pleasure to use.  I highly recommend implementing Data Quality Services in your database. Here are few of my blog posts which are related to Data Quality Services and I encourage you to try this out. SQL SERVER – Installing Data Quality Services (DQS) on SQL Server 2012 SQL SERVER – Step by Step Guide to Beginning Data Quality Services in SQL Server 2012 – Introduction to DQS SQL SERVER – DQS Error – Cannot connect to server – A .NET Framework error occurred during execution of user-defined routine or aggregate “SetDataQualitySessions” – SetDataQualitySessionPhaseTwo SQL SERVER – Configuring Interactive Cleansing Suggestion Min Score for Suggestions in Data Quality Services (DQS) – Sensitivity of Suggestion SQL SERVER – Unable to DELETE Project in Data Quality Projects (DQS) Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Data Quality Services, DQS

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  • Welcome Oracle Data Integration 12c: Simplified, Future-Ready Solutions with Extreme Performance

    - by Irem Radzik
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 The big day for the Oracle Data Integration team has finally arrived! It is my honor to introduce you to Oracle Data Integration 12c. Today we announced the general availability of 12c release for Oracle’s key data integration products: Oracle Data Integrator 12c and Oracle GoldenGate 12c. The new release delivers extreme performance, increase IT productivity, and simplify deployment, while helping IT organizations to keep pace with new data-oriented technology trends including cloud computing, big data analytics, real-time business intelligence. With the 12c release Oracle becomes the new leader in the data integration and replication technologies as no other vendor offers such a complete set of data integration capabilities for pervasive, continuous access to trusted data across Oracle platforms as well as third-party systems and applications. Oracle Data Integration 12c release addresses data-driven organizations’ critical and evolving data integration requirements under 3 key themes: Future-Ready Solutions Extreme Performance Fast Time-to-Value       There are many new features that support these key differentiators for Oracle Data Integrator 12c and for Oracle GoldenGate 12c. In this first 12c blog post, I will highlight only a few:·Future-Ready Solutions to Support Current and Emerging Initiatives: Oracle Data Integration offer robust and reliable solutions for key technology trends including cloud computing, big data analytics, real-time business intelligence and continuous data availability. Via the tight integration with Oracle’s database, middleware, and application offerings Oracle Data Integration will continue to support the new features and capabilities right away as these products evolve and provide advance features. E    Extreme Performance: Both GoldenGate and Data Integrator are known for their high performance. The new release widens the gap even further against competition. Oracle GoldenGate 12c’s Integrated Delivery feature enables higher throughput via a special application programming interface into Oracle Database. As mentioned in the press release, customers already report up to 5X higher performance compared to earlier versions of GoldenGate. Oracle Data Integrator 12c introduces parallelism that significantly increases its performance as well. Fast Time-to-Value via Higher IT Productivity and Simplified Solutions:  Oracle Data Integrator 12c’s new flow-based declarative UI brings superior developer productivity, ease of use, and ultimately fast time to market for end users.  It also gives the ability to seamlessly reuse mapping logic speeds development.Oracle GoldenGate 12c ‘s Integrated Delivery feature automatically optimally tunes the process, saving time while improving performance. This is just a quick glimpse into Oracle Data Integrator 12c and Oracle GoldenGate 12c. On November 12th we will reveal much more about the new release in our video webcast "Introducing 12c for Oracle Data Integration". Our customer and partner speakers, including SolarWorld, BT, Rittman Mead will join us in launching the new release. Please join us at this free event to learn more from our executives about the 12c release, hear our customers’ perspectives on the new features, and ask your questions to our experts in the live Q&A. Also, please continue to follow our blogs, tweets, and Facebook updates as we unveil more about the new features of the latest release. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • dojo dgrid tree, subrows in wrong position

    - by Ventura
    I have a dgrid, working with tree column plugin. Every time that the user click on the tree, I call the server, catch the subrows(json) and bind it. But when it happens, these subrows are show in wrong position, like the image bellow. The most strange is when I change the pagination, after go back to first page, the subrows stay on the correct place. (please, tell me if is possible to understand my english, then I can try to improve the text) My dgrid code: var CustomGrid = declare([OnDemandGrid, Keyboard, Selection, Pagination]); var grid = new CustomGrid({ columns: [ selector({label: "#", disabled: function(object){ return object.type == 'DOCx'; }}, "radio"), {label:'Id', field:'id', sortable: false}, tree({label: "Title", field:"title", sortable: true, indentWidth:20, allowDuplicates:true}), //{label:'Title', field:'title', sortable: false}, {label:'Count', field:'count', sortable: false} ], store: this.memoryStore, collapseOnRefresh:true, pagingLinks: false, pagingTextBox: true, firstLastArrows: true, pageSizeOptions: [10, 15, 25], selectionMode: "single", // for Selection; only select a single row at a time cellNavigation: false // for Keyboard; allow only row-level keyboard navigation }, "grid"); My memory store: loadMemoryStore: function(items){ this.memoryStore = Observable(new Memory({ data: items, getChildren: function(parent, options){ return this.query({parent: parent.id}, options); }, mayHaveChildren: function(parent){ return (parent.count != 0) && (parent.type != 'DOC'); } })); }, This moment I am binding the subrows: success: function(data){ for(var i=0; i<data.report.length; i++){ this.memoryStore.put({id:data.report[i].id, title:data.report[i].created, type:'DOC', parent:this.designId}); } }, I was thinking, maybe every moment that I bind the subrows, I could do like a refresh on the grid, maybe works. I think that the pagination does the same thing. Thanks. edit: I forgot the question. Well, How can I correct this bug? If The refresh in dgrid works. How can I do it? Other thing that I was thinking, maybe my getChildren is wrong, but I could not identify it. thanks again.

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  • Dojo Datagrid Filtering Issue

    - by Zoom Pat
    I am having hard time filtering a datagrid. Please help! This is how I draw a grid. var jsonStore = new dojo.data.ItemFileWriteStore({data:columnValues}); gridInfo = { store: jsonStore, queryOptions: {ignoreCase: true}, structure: layout }; grid = new dojox.grid.DataGrid(gridInfo, "gridNode"); grid.startup(); Now if i try something like this, it works fine and gives me the rows which has the column (AGE_FROM) value equal to 63. grid.filter({AGE_FROM:63}); but I need all kinds of filtering and not just 'equal to' So how do I try to obtain all the rows which have AGE_FROM 63, and < 63 and <= 63 and =63. because grid.filter({AGE_FROM:<63}); does not work Also One other way I was thingking was to use the following filteredStore = new dojox.jsonPath.query(filterData,"[?(@.AGE_FROM = 63]"); and then draw the grid with the filteredStore, but the above is not working for a != operator. Once I figure a good way to filter grid I need to see a way to filter out dates. I am trying to find a good example for filtering dataGrid but most of the examples are just filtering based on the 'equal to' criteria. Any help is highly appreciated.

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  • Dojo StackContainer children are not resizing on browser maximise/restore

    - by Andy
    Hi. I have the following nested layout in a dojo 1.4 app: BorderContainer 1 -- Stack Container 1 ----BorderContainer 2 ----BorderContainer 3 The StackContainer is sized with width and height 100%. When I resize the browser window using maximise/restore, the StackContainer correctly resizes to the center region of it's parent BorderContainer. The problem I have is that the StackContainer children (BorderContainer 2 and 3) do not get resized to the StackContainer's contentBox. Is there something special you have to do to force a resize of StackContainer children? I have tried calling StackContainer1.resize() but this makes no difference. Thanks in advance. Additional information: Thanks for the reply peller. The widget hierachy that contains the StackContainer is actually a custom widget, so the StackContainer is not actually in a BorderContainer directly, but has its height and width explicitly set to 100%. This works and the StackContainer is resized correctly on browser maximise. The direct children of the stackcontainer are BorderContainers and it is these BorderContainers that do not get resized when the StackContainer is resized. One point to note is that when the StackContainer is created in markup, the stackcontainer children are empty divs. These divs are then used as placeholders for custom widget creation, e.g. var widget = new com.company.widget(params, placeholderDiv); where placeholderDiv is a direct child of the StackContainer in markup. Should I be adding the programatically created 'widget' to the stackcontainer using addChild instead?

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  • Dojo: Setting a CheckBox label programmatically

    - by Mitchell Flaherty
    Let me preface by saying that I saw this other question on the subject of CheckBox labels that was asked and answered well over a year ago. I was confused by the answers and am hoping that someone can clarify or that there has been new dojo functionality introduced since then that allows me to do this without resorting to HTML. So without further ado, I would like to know how to programmatically create labels for check boxes. I have a check box like so: this.pubBoxId = new dijit.form.CheckBox({ label: "IdChannel", checked: false, channel: that.idChannel }, that.name + "_PBI"); As you can see I've tried to edit the "label" field, but the label never actually shows up on the page. I have multiple CheckBoxes that I am adding to a ContentPane and simply want a label to the left or right of the check box. Is there any way I can do this without having to write separate HTML? Also, making a separate ContentPane for each individual label would be a big pain because of how many CheckBoxes I plan to have. Thank you for reading, and let me know if further clarification is needed!

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  • Big Data – Final Wrap and What Next – Day 21 of 21

    - by Pinal Dave
    In yesterday’s blog post we explored various resources related to learning Big Data and in this blog post we will wrap up this 21 day series on Big Data. I have been exploring various terms and technology related to Big Data this entire month. It was indeed fun to write about Big Data in 21 days but the subject of Big Data is much bigger and larger than someone can cover it in 21 days. My first goal was to write about the basics and I think we have got that one covered pretty well. During this 21 days I have received many questions and answers related to Big Data. I have covered a few of the questions in this series and a few more I will be covering in the next coming months. Now after understanding Big Data basics. I am personally going to do a list of the things next. I thought I will share the same with you as this will give you a good idea how to continue the journey of the Big Data. Build a schedule to read various Apache documentations Watch all Pluralsight Courses Explore HortonWorks Sandbox Start building presentation about Big Data – this is a great way to learn something new Present in User Groups Meetings on Big Data Topics Write more blog posts about Big Data I am going to continue learning about Big Data – I want you to continue learning Big Data. Please leave a comment how you are going to continue learning about Big Data. I will publish all the informative comments on this blog with due credit. I want to end this series with the infographic by UMUC. 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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  • Partner Webcast - Focus on Oracle Data Profiling and Data Quality 11g

    - by lukasz.romaszewski(at)oracle.com
    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:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:RO;} Partner Webcast Focus on Oracle Data Profiling and Data Quality 11g February 24th, 12am  CET   Oracle 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: o   Oracle Data Profiling o   Oracle Data Quality for Data Integrator o   Live demoo   Q&A Delivery Format  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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  • How to make a composite Zend Form Element that includes a Dojo Field

    - by Joe
    I used the zendcast video to get me this far. The form is properly displayed. However, I need to change the display order box into a number box of zend dojo type. I cannot figure it out. Even help with examples would be great. <?php class My_View_Helper_CategoryDetailElement extends Zend_View_Helper_FormElement { protected $html = ''; public function CategoryDetailElement($name, $value = null, $attribs = null) { $type = $description = $displayOrder = $time = ''; if($value) { $type = $value->type; $description = $value->description; $displayOrder = $value->displayOrder; $time = $value->time; } $helper = new Zend_View_Helper_FormText(); $helper->setView($this->view); $helper_label = new Zend_View_Helper_FormLabel(); $helper_label->setView($this->view); $helper_select = new Zend_View_Helper_FormSelect(); $helper_select->setView($this->view); $helper_textarea = new Zend_View_Helper_FormTextarea(); $helper_textarea->setView($this->view); $this->html .= $helper_label->formLabel($name . '[type]', 'Type: ', array()); $this->html .= $helper_select->formSelect($name . '[type]', $type, array(), array('individual'=>'individual', 'team'=>'team')); $this->html .= "<br />"; $this->html .= $helper_label->formLabel($name . '[description]', 'Description: ', array()); $this->html .= $helper_textarea->formTextarea($name . '[description]', $description, array()); $this->html .= "<br />"; $this->html .= $helper_label->formLabel($name . '[displayOrder]', 'Display Order: ', array()); $this->html .= $helper->formText($name . '[displayOrder]', $displayOrder, array()); $this->html .= "<br />"; $this->html .= $helper_label->formLabel($name . '[time]', 'Time: ', array()); $this->html .= $helper->formText($name . '[time]', $time, array()); return $this->html; } } ?>

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  • display data from json file in datagrid

    - by kayn
    I want to display data from a json files in a data grid using dojo ver 1.0.0. I am able to diplay the data when i declare it on my code but when i store the same data in a json format so i can reference it in my script,i get an empty grid. This is my json file; { data: [ ['10''myfile','Css', 'CS Degree','Dr. Bottoman','This is mine'], ['10'myfile2','CS716', 'CS Degree','Prof Frank', 'This is course'], ['10'myfile3 ','CS714', 'CS Degree', 'Dr. Ree', 'Welcome'], ['14', 'myfile4','CS772', 'CS Degree', 'Mr. Boss', 'This will display content' ], ['18', 'myfile5','CS774', 'CS Degree','Ms. Kirk', 'This is networks.' ] ] } and below is my code; @import "../../../dojo/resources/dojo.css"; @import "../_grid/Grid.css"; body { font-size: 1.0em; } #grid { height: 400px; border: 1px solid silver; } .text-oneline { white-space: nowrap; overflow: hidden; text-overflow: ellipsis; } .text-scrolling { height: 4em; overflow: auto; } .text-scrolling { width: 21.5em; } dojo.require("dojox.grid.Grid"); dojo.require("dojox.grid._data.model"); dojo.require("dojo.parser"); <script type="text/javascript"> /*<span dojoType="dojo.data.ItemFileWriteStore" jsId="myStore" url="course.json"> </span>*/ data = [ ['10''myfile','Css', 'CS Degree','Dr. Bottoman','This is mine'], ['10'myfile2','CS716', 'CS Degree','Prof Frank', 'This is course'], ['10'myfile3 ','CS714', 'CS Degree', 'Dr. Ree', 'Welcome'], ['14', 'myfile4','CS772', 'CS Degree', 'Mr. Boss', 'This will display content' ], ['18', 'myfile5','CS774', 'CS Degree','Ms. Kirk', 'This is networks.' ] ]; getDetailData = function(inRowIndex) { var row = data[this.grid.dataRow % data.length ]; switch (this.index) { case 0: return row[5]; case 1: return row[2]; case 2: return row[0]; case 3: return row[1]; case 4: return row[3]; case 5: return row[4]; default: return row[this.index]; } } getName = function(inRowIndex) { var row = data[inRowIndex % data.length]; return row[1]; } // Main grid structure var gridCells = [ { type: 'dojox.GridRowView', width: '20px' }, { onBeforeRow: function(inDataIndex, inSubRows) { inSubRows[1].hidden = !detailRows[inDataIndex]; }, cells: [[ { name: 'Master', width: 3, get: getCheck, styles: 'text-align: center;' }, { name: 'Detail', get: getName, width: 60 }, ], [ { name: '', get: getDetail, colSpan: 2, styles: 'padding: 0; margin: 0;'} ]] } ]; // html for the +/- cell function getCheck(inRowIndex) { var image = (detailRows[inRowIndex] ? 'open.gif' : 'closed.gif'); var show = (detailRows[inRowIndex] ? 'false' : 'true') return ''; } // provide html for the Detail cell in the master grid function getDetail(inRowIndex) { var cell = this; // we can affect styles and content here, but we have to wait to access actual nodes setTimeout(function() { buildDetailgrid(inRowIndex, cell); }, 1); // look for a Detailgrid var Detailgrid = dijit.byId(makeDetailgridId(inRowIndex)); var h = (Detailgrid ? Detailgrid.cacheHeight : "120") + "px"; // insert a placeholder return ''; } // the Detail cell contains a Detailgrid which we set up below var DetailgridCells = [{ noscroll: true, cells: [ [ {name: "Brief Course Description",width: "auto"}, {name: "Course Code" }, {name: "Credits" }, {name: "Subject" }, {name: "Prerequisite" }, {name: "Lecturer"}], [] ]}]; var DetailgridProps = { structure: DetailgridCells, rowCount: 1, autoHeight: true, autoRender: false, "get": getDetailData }; // identify Detailgrids by their row indices function makeDetailgridId(inRowIndex) { return grid.widgetId + "Detailgrid"/+ inRowIndex/; } // if a Detailgrid exists at inRowIndex, detach it from the DOM function detachDetailgrid(inRowIndex) { var Detailgrid = dijit.byId(makeDetailgridId(inRowIndex)); if (Detailgrid) dojox.grid.removeNode(Detailgrid.domNode); } // render a Detailgrid into inCell at inRowIndex function buildDetailgrid(inRowIndex, inCell) { var n = inCell.getNode(inRowIndex).firstChild; var id = makeDetailgridId(inRowIndex); var Detailgrid = dijit.byId(id); if (Detailgrid) { n.appendChild(Detailgrid.domNode); } else { DetailgridProps.dataRow = inRowIndex; DetailgridProps.widgetId = id; Detailgrid = new dojox.VirtualGrid(DetailgridProps, n); } if (Detailgrid) { Detailgrid.render(); Detailgrid.cacheHeight = Detailgrid.domNode.offsetHeight; inCell.grid.rowHeightChanged(inRowIndex); } } // destroy Detailgrid at inRowIndex function destroyDetailgrid(inRowIndex) { var Detailgrid = dijit.byId(makeDetailgridId(inRowIndex)); if (Detailgrid) Detailgrid.destroy(); } // when user clicks the +/- detailRows = []; function toggleDetail(inIndex, inShow) { if (!inShow) detachDetailgrid(inIndex); detailRows[inIndex] = inShow; grid.updateRow(inIndex); } dojo.addOnLoad(function() { window["grid"] = dijit.byId("grid"); dojo.connect(grid, 'rowRemoved', destroyDetailgrid); }); Test grid

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  • Why does dojo parsing time depend on css and images availability?

    - by Kniganapolke
    I have been profiling javascript on my page that uses dojo widgets. I don't use explicit parsing - the parser runs on page load. What I noticed is that if I clear browser cache before refreshing the page, dojo parsing takes much more time than if all the files are already cached. Note that we build all the required dojo modules into a layer (a single file), so we don't lazy-load any js files. I wonder if dojo parsing process depends on images and css resources, as far as I know it only instantiates widgets and injects dom nodes. Do you have any ideas why dojo parser runs longer (2-3 times longer in my case) when the cache is cleared?

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  • Big Data – Buzz Words: What is HDFS – Day 8 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned what is MapReduce. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – HDFS. What is HDFS ? HDFS stands for Hadoop Distributed File System and it is a primary storage system used by Hadoop. It provides high performance access to data across Hadoop clusters. It is usually deployed on low-cost commodity hardware. In commodity hardware deployment server failures are very common. Due to the same reason HDFS is built to have high fault tolerance. The data transfer rate between compute nodes in HDFS is very high, which leads to reduced risk of failure. HDFS creates smaller pieces of the big data and distributes it on different nodes. It also copies each smaller piece to multiple times on different nodes. Hence when any node with the data crashes the system is automatically able to use the data from a different node and continue the process. This is the key feature of the HDFS system. Architecture of HDFS The architecture of the HDFS is master/slave architecture. An HDFS cluster always consists of single NameNode. This single NameNode is a master server and it manages the file system as well regulates access to various files. In additional to NameNode there are multiple DataNodes. There is always one DataNode for each data server. In HDFS a big file is split into one or more blocks and those blocks are stored in a set of DataNodes. The primary task of the NameNode is to open, close or rename files and directory and regulate access to the file system, whereas the primary task of the DataNode is read and write to the file systems. DataNode is also responsible for the creation, deletion or replication of the data based on the instruction from NameNode. In reality, NameNode and DataNode are software designed to run on commodity machine build in Java language. Visual Representation of HDFS Architecture Let us understand how HDFS works with the help of the diagram. Client APP or HDFS Client connects to NameSpace as well as DataNode. Client App access to the DataNode is regulated by NameSpace Node. NameSpace Node allows Client App to connect to the DataNode based by allowing the connection to the DataNode directly. A big data file is divided into multiple data blocks (let us assume that those data chunks are A,B,C and D. Client App will later on write data blocks directly to the DataNode. Client App does not have to directly write to all the node. It just has to write to any one of the node and NameNode will decide on which other DataNode it will have to replicate the data. In our example Client App directly writes to DataNode 1 and detained 3. However, data chunks are automatically replicated to other nodes. All the information like in which DataNode which data block is placed is written back to NameNode. High Availability During Disaster Now as multiple DataNode have same data blocks in the case of any DataNode which faces the disaster, the entire process will continue as other DataNode will assume the role to serve the specific data block which was on the failed node. This system provides very high tolerance to disaster and provides high availability. If you notice there is only single NameNode in our architecture. If that node fails our entire Hadoop Application will stop performing as it is a single node where we store all the metadata. As this node is very critical, it is usually replicated on another clustered as well as on another data rack. Though, that replicated node is not operational in architecture, it has all the necessary data to perform the task of the NameNode in the case of the NameNode fails. The entire Hadoop architecture is built to function smoothly even there are node failures or hardware malfunction. It is built on the simple concept that data is so big it is impossible to have come up with a single piece of the hardware which can manage it properly. We need lots of commodity (cheap) hardware to manage our big data and hardware failure is part of the commodity servers. To reduce the impact of hardware failure Hadoop architecture is built to overcome the limitation of the non-functioning hardware. Tomorrow In tomorrow’s blog post we will discuss the importance of the relational database in 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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  • Oracle Data Integration 12c: Perspectives of Industry Experts, Customers and Partners

    - by Irem Radzik
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 As you may have seen from our recent blog posts on Oracle Data Integrator 12c and Oracle GoldenGate 12c, we are very excited to share with you the great new features the 12c release brings to Oracle’s data integration solutions. And, fortunately we are not alone in this sentiment. Since the press announcement October 17th, which incorporates our customers' and experts' testimonials, we have seen positive comments in leading technology publications and social media as well. Here are some examples: In CIO and PCWorld you can find Joab Jackson’s article, Oracle Data Integrator 12c ready for real-time analysis, where wrote about the tight integration between Oracle Data Integrator and Oracle GoldenGate . He noted “Heeding the call from enterprise customers who clamor for more immediacy in their data-driven reports, Oracle has updated its data-integration software portfolio so that it can more rapidly deliver data to data warehouses and analysis applications.” Integration Developer News’ Vance McCarthy wrote the article Oracle Ships ‘Future Proofs’ Integration Tools for Traditional, Cloud, Big Data, Real-Time Projects and mentioned that “Oracle Data Integrator 12c and Oracle GoldenGate 12c sport a wide range of improvements to let devs more easily deliver data integration for cloud, analytics, big data and other new projects that leverage multiple datasets for business.“ InformationWeek’s Doug Henschen gave a great overview to several key features including the new flow-based UI in Oracle Data Integrator. Doug said “Oracle Data Integrator 12c introduces a complete makeover of the job-building experience, while real-time oriented GoldenGate 12c introduces performance gains “. In Database Trends and Applications’ article Oracle Strengthens Data Integration with Release of Oracle Data Integrator 12c and Oracle GoldenGate 12c highlighted the productivity aspect of the new solution with his remarks: “tight integration between Oracle Data Integrator 12c and Oracle GoldenGate 12c enables developers to leverage Oracle GoldenGate’s low overhead, real-time change data capture completely within the Oracle Data Integrator Studio without additional training”. We are also thrilled about what our customers and partners have to say about our products and the new release. And we are equally excited to share those perspectives with you in our upcoming launch video webcast on November 12th. SolarWorld Industries America’s Senior Database Manager, Russ Toyama will join our executives in our studio in Redwood Shores to discuss GoldenGate’s core benefits and the new release, while Surren Partharb, CTO of Strategic Technology Services for BT, and Mark Rittman, CTO of Rittman Mead, will provide their comments via the interviews conducted in the UK. This interactive panel discussion in the video webcast will unveil the new release with the expertise of our development executives and the great insight from our customers and partners. In addition, our product experts will be available online to answer chat questions. This is really a great opportunity to learn how Oracle's data integration offering has changed the integration and replication technology space with the new release, and established itself as the new leader. If you have not registered for this free event yet, you can do so via this link. We will run the live event at 8am PT/4pm GMT, followed by a replay of the event with live chat for Q&A  at 10am PT/6pm GMT. The replay will be available on-demand for those who register but cannot attend either session on November 12th. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:"Times New Roman";}

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