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  • Creating static resource dictionary

    - by Vishal
    Hi All, I've created a Resource Dictionary that I want to merge with multiple usercontrol xaml files. I want only one instance of this Resource Dictionary to be created. Any idea how to do this? Note: Merge should happen through xaml only and not through code. Thanks & Regards, Vishal

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  • Is there a MergedGradientBrush in wpf?

    - by AKRamkumar
    Suppose I had two brushes. One that was a linear gradient brush that was from Dark to light One was a radial brush that went from Dark to light. How could I merge the brushes so that when I apply them, I can apply both at once. EG Check this: 1) http://www.codeproject.com/KB/vista/WindowsVistaRenderer/VistaRenderer4.gif 2) http://www.codeproject.com/KB/vista/WindowsVistaRenderer/VistaRenderer5.gif How could I (In WPF/XAML) merge both into one gradient and then refer to that? (This is Mr. Menendez's Images from Codeproject)

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  • How do I change a file's path in git's history?

    - by carleeto
    Here is what I have - a git repo of my code: projects |-proj1 (no git repo here yet) |-subproj1 <- current git repo here Here is what I want - a git repo which is now tracking a new project that uses my code: projects |-proj1 <-git repo moved to here, but still tracking files in subproj1 |-subproj1 (no git repo here) I'd like to keep the history intact and therefore the new repository will be referring to files that are one level deeper than the original. What is the most pain free way to do this?

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  • Simplest way to convert all html links in a string using PHP

    - by Gaz
    I am trying to convert a block of text that contains html text - i'd like to find all http links and convert them for link tracking purposes. So eg anything like this in a string would be converted to the latter <a href="http://www.google.com">Some Link</a> <a href="http://www.mysite.com/tracking.php?url=www.google.com">Some Link</a> Can anyone how to do this taking into account the original string will consists of all sorts of html, images etc..

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  • Release management with a distributed version control system

    - by See Sharp Cheddar
    We're considering a switch from SVN to a distributed VCS at my workplace. I'm familiar with all the reasons for wanting to using a DVCS for day-to-day development: local version control, easier branching and merging, etc., but I haven't seen that much that's compelling in terms of managing software releases. Here's our release process: Discover what changes are available for merging. Run a query to find the defects/tickets associated with these changes. Filter out changes associated with "open" tickets. In our environment, tickets must be in a closed state in order to merged with a release branch. Filter out changes we don't want in the release branch. We are very conservative when it comes to merging changes. If a change isn't absolutely necessary, it doesn't get merged. Merge available changes, preferably in chronological order. We group changes together if they're associated with the same ticket. Block unwanted changes from the release branch (svnmerge block) so we don't have to deal with them again. Sometimes we can be juggling 3-5 different milestones at a time. Some milestones have very different constraints, and the block list can get quite long. I've been messing around with git, mercurial and plastic, and as far as I can tell none of them address this model very well. It seems like they would work very well when you have only one product you're releasing, but I can't imagine using them for juggling multiple, very different products from the same codebase. For example, cherry-picking seems to be an afterthought in mercurial. (You have to use the 'transplant' command). After you cherry-pick a change into a branch it still shows up as an available integration. Cherry-picking breaks the mercurial way of working. DVCS seems to be better suited for feature branches. There's no need for cherry-picking if you merge directly from a feature branch to trunk and the release branch. But who wants to do all that merging all the time? And how do you query for what's available to merge? And how do you make sure all the changes in a feature branch belong together? It sounds like total chaos. I'm torn because the coder in me wants DVCS for day-to-day work. I really want it. But I fear the day when I have to put the release manager hat and sort out what needs to be merged and what doesn't. I want to write code, I don't want to be a merge monkey.

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  • Google Analytics testing/sandbox environment?

    - by Laimoncijus
    Is there any Google Analytics testing/sandbox environment for testing your JS custom code before putting it to live system? I don't want to use my real tracking ID to see if everything is correct on my dev. environment, neither I want to put my code untested live... Is there any techniques or maybe some fake Analytics tracking lib I could use for testing?

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  • Tortoise SVN diff two trees

    - by Midhat
    Hi Consider the following situation Code was added to the trunk at revision x A branch was created The modifications of rev x were removed from trunk in rev x+10 trunk and branch goes their own ways till rev x+100 Now we need to update the branch with changes form the trunk The problem with a simple "merge a range of revisions" is that due to step 3, the initial branch modifications are being removed. Is there any way to work around this without resorting to manual merge. Version Info: TortoiseSVN 1.6.7, Build 18415 - 32 Bit , 2010/01/22 17:55:06 Subversion 1.6.9,

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  • How to suppress the inclusion of the .Net framework in a installation package created with visual st

    - by Dabblernl
    I built a very simple installation package that only consists of some merge modules. The Setup project explorer shows no dependencies on .Net for these merge modules (and it should not). However, on building the .msi file a requierement for .Net is added to it. Can this be avoided, or do I have to use a third party .msi builder? (I tried the obvious unchecking of any checkbox in the requierements listbox.)

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  • What is the default resolution of the image saved by iPhone UIImagePicker? is it 1500 x 2000?

    - by zerlphr
    Hi, i have problem trying to find out the default resolution of the images taken and saved by UIImagePicker. I'm trying to merge the photo taken and another image from my library and without knowing what's the size of the image, i'm not able to merge the 2 images correctly. Another question is that: are there different resolutions for the different iphones such as 2g, 3g or 3gs?

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  • Merging Two Matrixes... in LISP

    - by abidikgubidik
    (defun merge-matrix (matrix-1 matrix-2) (if (not (or (eql (matrix-rows matrix-1) (matrix-rows matrix-2)) (null matrix-1) (null matrix-2))) (error "Invalid dimensions.")) (cond ((null matrix-1) (copy-tree matrix-2)) ((null matrix-2) (copy-tree matrix-1)) (t (let ((result (copy-tree matrix-1))) (dotimes (i (matrix-rows matrix-1)) (setf (nth i result) (nconc (nth i result) (nth i matrix-2)))) result)))) (merge-matrix '((3 1) (1 3)) '((4 2) (1 1))) * - EVAL: variable NULL has no value I receive an error like that how I can fix the problem, thanks

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  • Do I need to perform a commit after a rebase?

    - by Benjol
    I've just rebased a feature branch onto another feature branch (in preparation for rebasing everything to the head of my master), and it involved quite a few tricky merge resolutions. Is the rebase automatically saved as a commit somewhere? Just where do those modifications live? I can't see anything in gitk, or git log --oneline. (Same question for when I merge back my branch after rebasing.)

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  • Changing git origin to point to an existing repository

    - by int3
    I'd like to make my local repo point to a different fork of the same project. Will this work? Do a merge with the 'target origin' Change the origin repo in my config file to the 'target origin' Also, if my local repo is not entirely identical to the new origin (say, I've resolved some merge conflicts in my favor), will these changes be pushed to the new origin when I do a git push, or will only commits made after the change of origin get pushed?

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  • JIRA: Generating per-user time report?

    - by John
    Sorry if SO is not the best place, but I have time-tracking enabled in JIRA and want to be able to generate a time-report for each user over a given date range. The only time-tracking report option I have is very limited and doesn't do what I want, is it possible through standard functionality or a free plugin perhaps?

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  • ASP.NET and HTML5 Local Storage

    - by Stephen Walther
    My favorite feature of HTML5, hands-down, is HTML5 local storage (aka DOM storage). By taking advantage of HTML5 local storage, you can dramatically improve the performance of your data-driven ASP.NET applications by caching data in the browser persistently. Think of HTML5 local storage like browser cookies, but much better. Like cookies, local storage is persistent. When you add something to browser local storage, it remains there when the user returns to the website (possibly days or months later). Importantly, unlike the cookie storage limitation of 4KB, you can store up to 10 megabytes in HTML5 local storage. Because HTML5 local storage works with the latest versions of all modern browsers (IE, Firefox, Chrome, Safari), you can start taking advantage of this HTML5 feature in your applications right now. Why use HTML5 Local Storage? I use HTML5 Local Storage in the JavaScript Reference application: http://Superexpert.com/JavaScriptReference The JavaScript Reference application is an HTML5 app that provides an interactive reference for all of the syntax elements of JavaScript (You can read more about the application and download the source code for the application here). When you open the application for the first time, all of the entries are transferred from the server to the browser (all 300+ entries). All of the entries are stored in local storage. When you open the application in the future, only changes are transferred from the server to the browser. The benefit of this approach is that the application performs extremely fast. When you click the details link to view details on a particular entry, the entry details appear instantly because all of the entries are stored on the client machine. When you perform key-up searches, by typing in the filter textbox, matching entries are displayed very quickly because the entries are being filtered on the local machine. This approach can have a dramatic effect on the performance of any interactive data-driven web application. Interacting with data on the client is almost always faster than interacting with the same data on the server. Retrieving Data from the Server In the JavaScript Reference application, I use Microsoft WCF Data Services to expose data to the browser. WCF Data Services generates a REST interface for your data automatically. Here are the steps: Create your database tables in Microsoft SQL Server. For example, I created a database named ReferenceDB and a database table named Entities. Use the Entity Framework to generate your data model. For example, I used the Entity Framework to generate a class named ReferenceDBEntities and a class named Entities. Expose your data through WCF Data Services. I added a WCF Data Service to my project and modified the data service class to look like this:   using System.Data.Services; using System.Data.Services.Common; using System.Web; using JavaScriptReference.Models; namespace JavaScriptReference.Services { [System.ServiceModel.ServiceBehavior(IncludeExceptionDetailInFaults = true)] public class EntryService : DataService<ReferenceDBEntities> { // This method is called only once to initialize service-wide policies. public static void InitializeService(DataServiceConfiguration config) { config.UseVerboseErrors = true; config.SetEntitySetAccessRule("*", EntitySetRights.All); config.DataServiceBehavior.MaxProtocolVersion = DataServiceProtocolVersion.V2; } // Define a change interceptor for the Products entity set. [ChangeInterceptor("Entries")] public void OnChangeEntries(Entry entry, UpdateOperations operations) { if (!HttpContext.Current.Request.IsAuthenticated) { throw new DataServiceException("Cannot update reference unless authenticated."); } } } }     The WCF data service is named EntryService. Notice that it derives from DataService<ReferenceEntitites>. Because it derives from DataService<ReferenceEntities>, the data service exposes the contents of the ReferenceEntitiesDB database. In the code above, I defined a ChangeInterceptor to prevent un-authenticated users from making changes to the database. Anyone can retrieve data through the service, but only authenticated users are allowed to make changes. After you expose data through a WCF Data Service, you can use jQuery to retrieve the data by performing an Ajax call. For example, I am using an Ajax call that looks something like this to retrieve the JavaScript entries from the EntryService.svc data service: $.ajax({ dataType: "json", url: “/Services/EntryService.svc/Entries”, success: function (result) { var data = callback(result["d"]); } });     Notice that you must unwrap the data using result[“d”]. After you unwrap the data, you have a JavaScript array of the entries. I’m transferring all 300+ entries from the server to the client when the application is opened for the first time. In other words, I transfer the entire database from the server to the client, once and only once, when the application is opened for the first time. The data is transferred using JSON. Here is a fragment: { "d" : [ { "__metadata": { "uri": "http://superexpert.com/javascriptreference/Services/EntryService.svc/Entries(1)", "type": "ReferenceDBModel.Entry" }, "Id": 1, "Name": "Global", "Browsers": "ff3_6,ie8,ie9,c8,sf5,es3,es5", "Syntax": "object", "ShortDescription": "Contains global variables and functions", "FullDescription": "<p>\nThe Global object is determined by the host environment. In web browsers, the Global object is the same as the windows object.\n</p>\n<p>\nYou can use the keyword <code>this</code> to refer to the Global object when in the global context (outside of any function).\n</p>\n<p>\nThe Global object holds all global variables and functions. For example, the following code demonstrates that the global <code>movieTitle</code> variable refers to the same thing as <code>window.movieTitle</code> and <code>this.movieTitle</code>.\n</p>\n<pre>\nvar movieTitle = \"Star Wars\";\nconsole.log(movieTitle === this.movieTitle); // true\nconsole.log(movieTitle === window.movieTitle); // true\n</pre>\n", "LastUpdated": "634298578273756641", "IsDeleted": false, "OwnerId": null }, { "__metadata": { "uri": "http://superexpert.com/javascriptreference/Services/EntryService.svc/Entries(2)", "type": "ReferenceDBModel.Entry" }, "Id": 2, "Name": "eval(string)", "Browsers": "ff3_6,ie8,ie9,c8,sf5,es3,es5", "Syntax": "function", "ShortDescription": "Evaluates and executes JavaScript code dynamically", "FullDescription": "<p>\nThe following code evaluates and executes the string \"3+5\" at runtime.\n</p>\n<pre>\nvar result = eval(\"3+5\");\nconsole.log(result); // returns 8\n</pre>\n<p>\nYou can rewrite the code above like this:\n</p>\n<pre>\nvar result;\neval(\"result = 3+5\");\nconsole.log(result);\n</pre>", "LastUpdated": "634298580913817644", "IsDeleted": false, "OwnerId": 1 } … ]} I worried about the amount of time that it would take to transfer the records. According to Google Chome, it takes about 5 seconds to retrieve all 300+ records on a broadband connection over the Internet. 5 seconds is a small price to pay to avoid performing any server fetches of the data in the future. And here are the estimated times using different types of connections using Fiddler: Notice that using a modem, it takes 33 seconds to download the database. 33 seconds is a significant chunk of time. So, I would not use the approach of transferring the entire database up front if you expect a significant portion of your website audience to connect to your website with a modem. Adding Data to HTML5 Local Storage After the JavaScript entries are retrieved from the server, the entries are stored in HTML5 local storage. Here’s the reference documentation for HTML5 storage for Internet Explorer: http://msdn.microsoft.com/en-us/library/cc197062(VS.85).aspx You access local storage by accessing the windows.localStorage object in JavaScript. This object contains key/value pairs. For example, you can use the following JavaScript code to add a new item to local storage: <script type="text/javascript"> window.localStorage.setItem("message", "Hello World!"); </script>   You can use the Google Chrome Storage tab in the Developer Tools (hit CTRL-SHIFT I in Chrome) to view items added to local storage: After you add an item to local storage, you can read it at any time in the future by using the window.localStorage.getItem() method: <script type="text/javascript"> window.localStorage.setItem("message", "Hello World!"); </script>   You only can add strings to local storage and not JavaScript objects such as arrays. Therefore, before adding a JavaScript object to local storage, you need to convert it into a JSON string. In the JavaScript Reference application, I use a wrapper around local storage that looks something like this: function Storage() { this.get = function (name) { return JSON.parse(window.localStorage.getItem(name)); }; this.set = function (name, value) { window.localStorage.setItem(name, JSON.stringify(value)); }; this.clear = function () { window.localStorage.clear(); }; }   If you use the wrapper above, then you can add arbitrary JavaScript objects to local storage like this: var store = new Storage(); // Add array to storage var products = [ {name:"Fish", price:2.33}, {name:"Bacon", price:1.33} ]; store.set("products", products); // Retrieve items from storage var products = store.get("products");   Modern browsers support the JSON object natively. If you need the script above to work with older browsers then you should download the JSON2.js library from: https://github.com/douglascrockford/JSON-js The JSON2 library will use the native JSON object if a browser already supports JSON. Merging Server Changes with Browser Local Storage When you first open the JavaScript Reference application, the entire database of JavaScript entries is transferred from the server to the browser. Two items are added to local storage: entries and entriesLastUpdated. The first item contains the entire entries database (a big JSON string of entries). The second item, a timestamp, represents the version of the entries. Whenever you open the JavaScript Reference in the future, the entriesLastUpdated timestamp is passed to the server. Only records that have been deleted, updated, or added since entriesLastUpdated are transferred to the browser. The OData query to get the latest updates looks like this: http://superexpert.com/javascriptreference/Services/EntryService.svc/Entries?$filter=(LastUpdated%20gt%20634301199890494792L) If you remove URL encoding, the query looks like this: http://superexpert.com/javascriptreference/Services/EntryService.svc/Entries?$filter=(LastUpdated gt 634301199890494792L) This query returns only those entries where the value of LastUpdated > 634301199890494792 (the version timestamp). The changes – new JavaScript entries, deleted entries, and updated entries – are merged with the existing entries in local storage. The JavaScript code for performing the merge is contained in the EntriesHelper.js file. The merge() method looks like this:   merge: function (oldEntries, newEntries) { // concat (this performs the add) oldEntries = oldEntries || []; var mergedEntries = oldEntries.concat(newEntries); // sort this.sortByIdThenLastUpdated(mergedEntries); // prune duplicates (this performs the update) mergedEntries = this.pruneDuplicates(mergedEntries); // delete mergedEntries = this.removeIsDeleted(mergedEntries); // Sort this.sortByName(mergedEntries); return mergedEntries; },   The contents of local storage are then updated with the merged entries. I spent several hours writing the merge() method (much longer than I expected). I found two resources to be extremely useful. First, I wrote extensive unit tests for the merge() method. I wrote the unit tests using server-side JavaScript. I describe this approach to writing unit tests in this blog entry. The unit tests are included in the JavaScript Reference source code. Second, I found the following blog entry to be super useful (thanks Nick!): http://nicksnettravels.builttoroam.com/post/2010/08/03/OData-Synchronization-with-WCF-Data-Services.aspx One big challenge that I encountered involved timestamps. I originally tried to store an actual UTC time as the value of the entriesLastUpdated item. I quickly discovered that trying to work with dates in JSON turned out to be a big can of worms that I did not want to open. Next, I tried to use a SQL timestamp column. However, I learned that OData cannot handle the timestamp data type when doing a filter query. Therefore, I ended up using a bigint column in SQL and manually creating the value when a record is updated. I overrode the SaveChanges() method to look something like this: public override int SaveChanges(SaveOptions options) { var changes = this.ObjectStateManager.GetObjectStateEntries( EntityState.Modified | EntityState.Added | EntityState.Deleted); foreach (var change in changes) { var entity = change.Entity as IEntityTracking; if (entity != null) { entity.LastUpdated = DateTime.Now.Ticks; } } return base.SaveChanges(options); }   Notice that I assign Date.Now.Ticks to the entity.LastUpdated property whenever an entry is modified, added, or deleted. Summary After building the JavaScript Reference application, I am convinced that HTML5 local storage can have a dramatic impact on the performance of any data-driven web application. If you are building a web application that involves extensive interaction with data then I recommend that you take advantage of this new feature included in the HTML5 standard.

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  • Project Management Helps AmeriCares Deliver International Aid

    - by Sylvie MacKenzie, PMP
    Excerpt from PROFIT - ORACLE - by Alison Weiss Handle with Care Sound project management helps AmeriCares bring international aid to those in need. The stakes are always high for AmeriCares. On a mission to restore health and save lives during times of disaster, the nonprofit international relief and humanitarian aid organization delivers donated medicines, medical supplies, and humanitarian aid to people in the U.S. and around the globe. Founded in 1982 with the express mission of responding as quickly and efficiently as possible to help people in need, the Stamford, Connecticut-based AmeriCares has delivered more than US$10.5 billion in aid to 147 countries over the past three decades. Launch the Slideshow “It’s critically important to us that we steward all the donations and that the medical supplies and medicines get to people as quickly as possible with no loss,” says Kate Sears, senior vice president for finance and technology at AmeriCares. “Whether we’re shipping IV solutions to victims of cholera in Haiti or antibiotics to Somali famine victims, we need to get the medicines there sooner because it means more people will be helped and lives improved or even saved.” Ten years ago, the tracking systems used by AmeriCares associates were paper-based. In recent years, staff started using spreadsheets, but the tracking processes were not standardized between teams. “Every team was tracking completely different information,” says Megan McDermott, senior associate, Sub-Saharan Africa partnerships, at AmeriCares. “It was just a few key things. For example, we tracked the date a shipment was supposed to arrive and the date we got reports from our partner that a hospital received aid on their end.” While the data was accurate, much detail was being lost in the process. AmeriCares management knew it could do a better job of tracking this enterprise data and in 2011 took a significant step by implementing Oracle’s Primavera P6 Professional Project Management. “It’s a comprehensive solution that has helped us improve the monitoring and controlling processes. It has allowed us to do our distribution better,” says Sears. In addition, the implementation effort has been a change agent, helping AmeriCares leadership rethink project management across the entire organization. Initially, much of the focus was on standardizing processes, but staff members also learned the importance of thinking proactively to prevent possible problems and evaluating results to determine if goals and objectives are truly being met. Such data about process efficiency and overall results is critical not only to AmeriCares staff but also to the donors supporting the organization’s life-saving missions. Efficiency Saves Lives One of AmeriCares’ core operations is to gather product donations from the private sector, establish where the most-urgent needs are, and solicit monetary support to send the aid via ocean cargo or airlift to welfare- and health-oriented nongovernmental organizations, hospitals, health networks, and government ministries based in areas in need. In 2011 alone, AmeriCares sent more than 3,500 shipments to 95 countries in response to both ongoing humanitarian needs and more than two dozen emergencies, including deadly tornadoes and storms in the U.S. and the devastating tsunami in Japan. When it comes to nonprofits in general, donors want to know that the charitable organizations they support are using funds wisely. Typically, nonprofits are evaluated by donors in terms of efficiency, an area where AmeriCares has an excellent reputation: 98 percent of expenses go directly to supporting programs and less than 2 percent represent administrative and fundraising costs. Donors, however, should look at more than simple efficiency, says Peter York, senior partner and chief research and learning officer at TCC Group, a nonprofit consultancy headquartered in New York, New York. They should also look at whether organizations have the systems in place to sustain their missions and continue to thrive. An expert on nonprofit organizational management, York has spent years studying sustainable charitable organizations. He defines them as nonprofits that are able to achieve the ongoing financial support to stay relevant and continue doing core mission work. In his analysis of well over 2,500 larger nonprofits, York has found that many are not sustaining, and are actually scaling back in size. “One of the biggest challenges of nonprofit sustainability is the general public’s perception that every dollar donated has to go only to the delivery of service,” says York. “What our data shows is that there are some fundamental capacities that have to be there in order for organizations to sustain and grow.” York’s research highlights the importance of data-driven leadership at successful nonprofits. “You’ve got to have the tools, the systems, and the technologies to get objective information on what you do, the people you serve, and the results you’re achieving,” says York. “If leaders don’t have the knowledge and the data, they can’t make the strategic decisions about programs to take organizations to the next level.” Historically, AmeriCares associates have used time-tested and cost-effective strategies to ship and then track supplies from donation to delivery to their destinations in designated time frames. When disaster strikes, AmeriCares ships by air and generally pulls out all the stops to deliver the most urgently needed aid within the first few days and weeks. Then, as situations stabilize, AmeriCares turns to delivering sea containers for the postemergency and ongoing aid so often needed over the long term. According to McDermott, getting a shipment out the door is fairly complicated, requiring as many as five different AmeriCares teams collaborating together. The entire process can take months—from when products are received in the warehouse and deciding which recipients to allocate supplies to, to getting customs and governmental approvals in place, actually shipping products, and finally ensuring that the products are received in-country. Delivering that aid is no small affair. “Our volume exceeds half a billion dollars a year worth of donated medicines and medical supplies, so it’s a sizable logistical operation to bring these products in and get them out to the right place quickly to have the most impact,” says Sears. “We really pride ourselves on our controls and efficiencies.” Adding to that complexity is the fact that the longer it takes to deliver aid, the more dire the human need can be. Any time AmeriCares associates can shave off the complicated aid delivery process can translate into lives saved. “It’s really being able to track information consistently that will help us to see where are the bottlenecks and where can we work on improving our processes,” says McDermott. Setting a Standard Productivity and information management improvements were key objectives for AmeriCares when staff began the process of implementing Oracle’s Primavera solution. But before configuring the software, the staff needed to take the time to analyze the systems already in place. According to Greg Loop, manager of database systems at AmeriCares, the organization received guidance from several consultants, including Rich D’Addario, consulting project manager in the Primavera Global Business Unit at Oracle, who was instrumental in shepherding the critical requirements-gathering phase. D’Addario encouraged staff to begin documenting shipping processes by considering the order in which activities occur and which ones are dependent on others to get accomplished. This exercise helped everyone realize that to be more efficient, they needed to keep track of shipments in a more standard way. “The staff didn’t recognize formal project management methodology,” says D’Addario. “But they did understand what the most important things are and that if they go wrong, an entire project can go off course.” Before, if a boatload of supplies was being sent to Haiti and there was a problem somewhere, a lot of time was taken up finding out where the problem was—because staff was not tracking things in a standard way. As a result, even more time was needed to find possible solutions to the problem and alert recipients that the aid might be delayed. “For everyone to put on the project manager hat and standardize the way every single thing is done means that now the whole organization is on the same page as to what needs to occur from the time a hurricane hits Haiti and when a boat pulls in to unload supplies,” says D’Addario. With so much care taken to put a process foundation firmly in place, configuring the Primavera solution was actually quite simple. Specific templates were set up for different types of shipments, and dashboards were implemented to provide executives with clear overviews of every project in the system. AmeriCares’ Loop reports that system planning, refining, and testing, followed by writing up documentation and training, took approximately four months. The system went live in spring 2011 at AmeriCares’ Connecticut headquarters. While the nonprofit has an international presence, with warehouses in Europe and offices in Haiti, India, Japan, and Sri Lanka, most donated medicines come from U.S. entities and are shipped from the U.S. out to the rest of the world. In addition, all shipments are tracked from the U.S. office. AmeriCares doesn’t expect the Primavera system to take months off the shipping time, especially for sea containers. However, any time saved is still important because it will allow aid to be delivered to people more quickly at a lower overall cost. “If we can trim a day or two here or there, that can translate into lives that we’re saving, especially in emergency situations,” says Sears. A Cultural Change Beyond the measurable benefits that come with IT-driven process improvement, AmeriCares management is seeing a change in culture as a result of the Primavera project. One change has been treating every shipment of aid as a project, and everyone involved with facilitating shipments as a project manager. “This is a revolutionary concept for us,” says McDermott. “Before, we were used to thinking we were doing logistics—getting a container from point A to point B without looking at it as one project and really understanding what it meant to manage it.” AmeriCares staff is also happy to report that collaboration within the organization is much more efficient. When someone creates a shipment in the Primavera system, the same shared template is used, which means anyone can log in to the system to see the status of a shipment. Knowledgeable staff can access a shipment project to help troubleshoot a problem. Management can easily check the status of projects across the organization. “Dashboards are really useful,” says McDermott. “Instead of going into the details of each project, you can just see the high-level real-time information at a glance.” The new system is helping team members focus on proactively managing shipments rather than simply reacting when problems occur. For example, when a container is shipped, documents must be included for customs clearance. Now, the shipping template has built-in reminders to prompt team members to ask for copies of these documents from freight forwarders and to follow up with partners to discover if a shipment is on time. In the past, staff may not have worked on securing these documents until they’d been notified a shipment had arrived in-country. Another benefit of capturing and adopting best practices within the Primavera system is that staff training is easier. “Capturing the processes in documented steps and milestones allows us to teach new staff members how to do their jobs faster,” says Sears. “It provides them with the knowledge of their predecessors so they don’t have to keep reinventing the wheel.” With the Primavera system already generating positive results, management is eager to take advantage of advanced capabilities. Loop is working on integrating the company’s proprietary inventory management system with the Primavera system so that when logistics or warehousing operators input data, the information will automatically go into the Primavera system. In the past, this information had to be manually keyed into spreadsheets, often leading to errors. Mining Historical Data Another feature on the horizon for AmeriCares is utilizing Primavera P6 Professional Project Management reporting capabilities. As the system begins to include more historical data, management soon will be able to draw on this information to conduct analysis that has not been possible before and create customized reports. For example, at the beginning of the shipment process, staff will be able to use historical data to more accurately estimate how long the approval process should take for a particular country. This could help ensure that food and medicine with limited shelf lives do not get stuck in customs or used beyond their expiration dates. The historical data in the Primavera system will also help AmeriCares with better planning year to year. The nonprofit’s staff has always put together a plan at the beginning of the year, but this has been very challenging simply because it is impossible to predict disasters. Now, management will be able to look at historical data and see trends and statistics as they set current objectives and prepare for future need. In addition, this historical data will provide AmeriCares management with the ability to review year-end data and compare actual project results with goals set at the beginning of the year—to see if desired outcomes were achieved and if there are areas that need improvement. It’s this type of information that is so valuable to donors. And, according to York, project management software can play a critical role in generating the data to help nonprofits sustain and grow. “It is important to invest in systems to help replicate, expand, and deliver services,” says York. “Project management software can help because it encourages nonprofits to examine program or service changes and how to manage moving forward.” Sears believes that AmeriCares donors will support the return on investment the organization will achieve with the Primavera solution. “It won’t be financial returns, but rather how many more people we can help for a given dollar or how much more quickly we can respond to a need,” says Sears. “I think donors are receptive to such arguments.” And for AmeriCares, it is all about the future and increasing results. The project management environment currently may be quite simple, but IT staff plans to expand the complexity and functionality as the organization grows in its knowledge of project management and the goals it wants to achieve. “As we use the system over time, we’ll continue to refine our best practices and accumulate more data,” says Sears. “It will advance our ability to make better data-driven decisions.”

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  • CodePlex Daily Summary for Monday, June 14, 2010

    CodePlex Daily Summary for Monday, June 14, 2010New ProjectsBD File Hash: BD File Hash is a convenient file hash and hash compare tool for Windows which currently works with MD5, SHA-1, and SHA-256 algorithms. FileScan: This is an application that searches through a drive or directory structure for files matching a filter. This project was converted from VB to ...genesis9: genesis9HeinanOS: HeinanOS is an operating system developed mainly in C++. HeinanOS is a light OS (1.44 MB image) with a lot of capabilites and many more are being ...MediaBrowserWS - Creates a Web Service for the popular MediaBrowser plugin: Creates a web service in Media Center for accessing your MediaBrowser collection. Allows for external devices (Tablets/phones/laptops) to access a ...MME: New Edition of Managed Menu Extensions for Visual Studio 2010 The Main goal of "MME" is to provide easy access to adding Right Click menus in the ...MVMMapper: Generate the ViewModel and its mapping to the Model when implementing MVVM in .NET. Developed using T4 templates. Current version supports Silver...ProjectArDotNet: Si te agarro te parto! Si te agarro te emperno no me importa que seas menor de edad!Scriptagility for DotNetNuke: Scriptagility is a DotNetNuke module for Javascript developers. This module provides dynamic client scripting infrastructure for developing javascr...simpleLinux Distro: SimpleLinux. is a Linux distributions that is easy to use. Simple Linux website: http://simplelinux.tkTag Cloud Control for asp.net: Tag Cloud Control for asp.net allows the user to display the most important keywords to display in tag cloud. Each Tag has it own navigation url to...thefreeimdb: fsadie qwUppityUp: UppityUp is a simple and light-weight tray application which monitors a remote server and shows a notification when it comes online. This is usefu...Vivid3D 2 - DirectX 10 3D ToolKit: The sequel to my first ever engine wrote several years ago. It is not based on it in anyway. VSIDev: VSI DevXTQXK_WORK: Actionscript 3.0东坡博客: 这是一个ASP。net mvc 2博客。New Releases.NET Extensions - Extension Methods Library: Release 2010.08: Added extension methods for Bitmap manipulation (scaling for now): - Bitmap.ScaleToSize() - Bitmap.ScaleToSizeProportional() - Bitmap.ScaleProport...Black Falcon Software's Database Data-Access-Layers: “SQLHELPER”, “ORAHELPER” - Handling Binary Data: See attached document...BTech Networking Library: BTech Networking Library: Same as pervious just new namespace, extended networking coming soon!!!Community Forums NNTP bridge: Community Forums NNTP Bridge V37: Release of the Community Forums NNTP Bridge to access the social and anwsers MS forums with a single, open source NNTP bridge. This release has ad...Generic Entity Model 2: GEM2 build 54383: This is second BETA release of GEM2! Please see source code change sets for updates! Following implementation is not included in this release: My...Hades: Projet Hadès - Official Demo - Version 0.1.0 Beta: ---------------------------------------------------------------------------- - Projet Hadès - Official Demo - Version 0.1.0 Beta ------------------...HeinanOS: HeinanOS M1 Source Code: You can download HeinanOS M1 Source Code and contribute to HeinanOS development! Be aware that you should not use this code for your own systems! ...HeinanOS: Milestone 1: This is the first major release for HeinanOS 1.0 Please note this is a PRE-RELEASE! This release includes the following features: -Bootable DOS-...HKGolden Express: HKGoldenExpress (Build 201006131900): New features: (None) Bug fix: Incorrect message submit date of message/ replies. (Note: Showing message submit date is enabled since Build 20100...HKGolden Express: HKGoldenExpress (Build 201006140110): New features: (None) Bug fix: (None) Improvements: (None) Other changes: Set time zone of message date as Hong Kong. Adjusted the format of messa...MediaCoder.NET: MediaCoder.NET v1.0 Beta 1.5: Installer file for MediaCoder.NET v1.0 beta 1.5. Now converts multiple files.MME: First release: Features of this release 1. One installer MME.msi. However you can also install MMEMenuManagerSetup.vsix which installs a project template that e...MSBuild Launch Pad (mPad): 1.1 Beta 1: Platform selection box is added.MVMMapper: MVMMapper Release v 1.0.1: This release has no downloadable documentation. Please use the Documentation section to get started.NginxTray: NginxTray 0.7 RC2: NginxTray 0.7 RC2PowerAuras: PowerAuras-3.0.0K-beta3: New Auras: Item Name Equipment Slot Tracking Changes from beta1 5 new aura textures Fixed Tracking bug Added graphical equipment slot sele...PowerAuras: PowerAuras-3.0.0K-beta4: New Auras: Item Name Equipment Slot Tracking Changes from beta1 5 new aura textures Fixed Tracking bug Added graphical equipment slot sele...Scriptagility for DotNetNuke: Scriptagility 1.0 (Beta): Initial public release please evaluate and feedbackSharpDevelop: SharpDevelop 4.0 Beta 1: Release notes: http://community.sharpdevelop.net/forums/t/11388.aspxsimpleLinux Distro: Project X3: This is an example of download for simpleLinuxSOAPI - StackOverflow API Parser/Wrapper Generator: SOAPI Beta 3: The SOAPI Beta 3 download will be made availabe later today when the initial documentation is complete. The previously available Beta 1 download h...Sofa: Initial release V1.0: This is the first release of Sofa. As it is made of code being previously used, as we tested it is a stable release. But bugs are always possible,...Tag Cloud Control for asp.net: Tag Cloud Control for asp.net: Tag Cloud Control for asp.net allows the user to display the most important keywords to display in tag cloud. Each Tag has it own navigation url to...UppityUp: UppityUp v0.1: First functional version, supports monitoring availability by ping (ICMP) requests. Fit for general use. Consists of one standalone .exe file - no...VCC: Latest build, v2.1.30613.0: Automatic drop of latest buildWindStyle ExifInfo for Windows Live Writer: 1.1.0.0: Add: Multiple Language(English and Simplified Chinese); Add: Insert multiple files; Fix: Error when insert pictures without Exif info; Update: Icon...Work Recorder - Hold on own time!: WorkRecorder 1.2: +Add a whole day chartXsltDb - DotNetNuke Module Builder: 01.01.24: Syntax highlighting delivered!New samples for RadControls. On single page you can find RadTreeView, RadRating, RadChart, RadFormDecorator, RadEdito...xUnit.net Contrib: xunitcontrib 0.4 (ReSharper 5.0 RTM + dotCover): xunitcontrib release 0.4 (ReSharper runner) This release provides a test runner plugin for Resharper 5.0, 4.5 and 4.1, targetting all versions of x...Most Popular ProjectsCommunity Forums NNTP bridgeRIA Services EssentialsNeatUploadBxf (Basic XAML Framework)Agile Personal Development Methodology.NET Transactional File ManagerSOLID by exampleASP.NET MVC Time PlannerWEI ShareSiverlight ProjectMost Active ProjectsjQuery Library for SharePoint Web Servicespatterns & practices – Enterprise LibraryNB_Store - Free DotNetNuke Ecommerce Catalog ModuleRhyduino - Arduino and Managed CodeCommunity Forums NNTP bridgeCassandraemonBlogEngine.NETLightweight Fluent WorkflowMediaCoder.NETAndrew's XNA Helpers

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  • JMX Based Monitoring - Part Four - Business App Server Monitoring

    - by Anthony Shorten
    In the last blog entry I talked about the Oracle Utilities Application Framework V4 feature for monitoring and managing aspects of the Web Application Server using JMX. In this blog entry I am going to discuss a similar new feature that allows JMX to be used for management and monitoring the Oracle Utilities business application server component. This feature is primarily focussed on performance tracking of the product. In first release of Oracle Utilities Customer Care And Billing (V1.x I am talking about), we used to use Oracle Tuxedo as part of the architecture. In Oracle Utilities Application Framework V2.0 and above, we removed Tuxedo from the architecture. One of the features that some customers used within Tuxedo was the performance tracking ability. The idea was that you enabled performance logging on the individual Tuxedo servers and then used a utility named txrpt to produce a performance report. This report would list every service called, the number of times it was called and the average response time. When I worked a performance consultant, I used this report to identify badly performing services and also gauge the overall performance characteristics of a site. When Tuxedo was removed from the architecture this information was also lost. While you can get some information from access.log and some Mbeans supplied by the Web Application Server it was not at the same granularity as txrpt or as useful. I am happy to say we have not only reintroduced this facility in Oracle Utilities Application Framework but it is now accessible via JMX and also we have added more detail into the performance tracking. Most of this new design was working with customers around the world to make sure we introduced a new feature that not only satisfied their performance tracking needs but allowed for finer grained performance analysis. As with the Web Application Server, the Business Application Server JMX monitoring is enabled by specifying a JMX port number in RMI Port number for JMX Business and initial credentials in the JMX Enablement System User ID and JMX Enablement System Password configuration options. These options are available using the configureEnv[.sh] -a utility. These credentials are shared across the Web Application Server and Business Application Server for authorization purposes. Once this is information is supplied a number of configuration files are built (by the initialSetup[.sh] utility) to configure the facility: spl.properties - contains the JMX URL, the security configuration and the mbeans that are enabled. For example, on my demonstration machine: spl.runtime.management.rmi.port=6750 spl.runtime.management.connector.url.default=service:jmx:rmi:///jndi/rmi://localhost:6750/oracle/ouaf/ejbAppConnector jmx.remote.x.password.file=scripts/ouaf.jmx.password.file jmx.remote.x.access.file=scripts/ouaf.jmx.access.file ouaf.jmx.com.splwg.ejb.service.management.PerformanceStatistics=enabled ouaf.jmx.* files - contain the userid and password. The default configuration uses the JMX default configuration. You can use additional security features by altering the spl.properties file manually or using a custom template. For more security options see JMX Security for more details. Once it has been configured and the changes reflected in the product using the initialSetup[.sh] utility the JMX facility can be used. For illustrative purposes I will use jconsole but any JSR160 complaint browser or client can be used (with the appropriate configuration). Once you start jconsole (ensure that splenviron[.sh] is executed prior to execution to set the environment variables or for remote connection, ensure java is in your path and jconsole.jar in your classpath) you specify the URL in the spl.runtime.management.connnector.url.default entry. For example: You are then able to track performance of the product using the PerformanceStatistics Mbean. The attributes of the PerformanceStatistics Mbean are counts of each object type. This is where this facility differs from txrpt. The information that is collected includes the following: The Service Type is captured so you can filter the results in terms of the type of service. For maintenance type services you can even see the transaction type (ADD, CHANGE etc) so you can see the performance of updates against read transactions. The Minimum and Maximum are also collected to give you an idea of the spread of performance. The last call is recorded. The date, time and user of the last call are recorded to give you an idea of the timeliness of the data. The Mbean maintains a set of counters per Service Type to give you a summary of the types of transactions being executed. This gives you an overall picture of the types of transactions and volumes at your site. There are a number of interesting operations that can also be performed: reset - This resets the statistics back to zero. This is an important operation. For example, txrpt is restricted to collecting statistics per hour, which is ok for most people. But what if you wanted to be more granular? This operation allows to set the collection period to anything you wish. The statistics collected will represent values since the last restart or last reset. completeExecutionDump - This is the operation that produces a CSV in memory to allow extraction of the data. All the statistics are extracted (see the Server Administration Guide for a full list). This can be then loaded into a database, a tool or simply into your favourite spreadsheet for analysis. Here is an extract of an execution dump from my demonstration environment to give you an idea of the format: ServiceName, ServiceType, MinTime, MaxTime, Avg Time, # of Calls, Latest Time, Latest Date, Latest User ... CFLZLOUL, EXECUTE_LIST, 15.0, 64.0, 22.2, 10, 16.0, 2009-12-16::11-25-36-932, ASHORTEN CILBBLLP, READ, 106.0, 1184.0, 466.3333333333333, 6, 106.0, 2009-12-16::11-39-01-645, BOBAMA CILBBLLP, DELETE, 70.0, 146.0, 108.0, 2, 70.0, 2009-12-15::12-53-58-280, BPAYS CILBBLLP, ADD, 860.0, 4903.0, 2243.5, 8, 860.0, 2009-12-16::17-54-23-862, LELLISON CILBBLLP, CHANGE, 112.0, 3410.0, 815.1666666666666, 12, 112.0, 2009-12-16::11-40-01-103, ASHORTEN CILBCBAL, EXECUTE_LIST, 8.0, 84.0, 26.0, 22, 23.0, 2009-12-16::17-54-01-643, LJACKMAN InitializeUserInfoService, READ_SYSTEM, 49.0, 962.0, 70.83777777777777, 450, 63.0, 2010-02-25::11-21-21-667, ASHORTEN InitializeUserService, READ_SYSTEM, 130.0, 2835.0, 234.85777777777778, 450, 216.0, 2010-02-25::11-21-21-446, ASHORTEN MenuLoginService, READ_SYSTEM, 530.0, 1186.0, 703.3333333333334, 9, 530.0, 2009-12-16::16-39-31-172, ASHORTEN NavigationOptionDescriptionService, READ_SYSTEM, 2.0, 7.0, 4.0, 8, 2.0, 2009-12-21::09-46-46-892, ASHORTEN ... There are other operations and attributes available. Refer to the Server Administration Guide provided with your product to understand the full et of operations and attributes. This is one of the many features I am proud that we implemented as it allows flexible monitoring of the performance of the product.

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  • SQL SERVER – Guest Post – Architecting Data Warehouse – Niraj Bhatt

    - by pinaldave
    Niraj Bhatt works as an Enterprise Architect for a Fortune 500 company and has an innate passion for building / studying software systems. He is a top rated speaker at various technical forums including Tech·Ed, MCT Summit, Developer Summit, and Virtual Tech Days, among others. Having run a successful startup for four years Niraj enjoys working on – IT innovations that can impact an enterprise bottom line, streamlining IT budgets through IT consolidation, architecture and integration of systems, performance tuning, and review of enterprise applications. He has received Microsoft MVP award for ASP.NET, Connected Systems and most recently on Windows Azure. When he is away from his laptop, you will find him taking deep dives in automobiles, pottery, rafting, photography, cooking and financial statements though not necessarily in that order. He is also a manager/speaker at BDOTNET, Asia’s largest .NET user group. Here is the guest post by Niraj Bhatt. As data in your applications grows it’s the database that usually becomes a bottleneck. It’s hard to scale a relational DB and the preferred approach for large scale applications is to create separate databases for writes and reads. These databases are referred as transactional database and reporting database. Though there are tools / techniques which can allow you to create snapshot of your transactional database for reporting purpose, sometimes they don’t quite fit the reporting requirements of an enterprise. These requirements typically are data analytics, effective schema (for an Information worker to self-service herself), historical data, better performance (flat data, no joins) etc. This is where a need for data warehouse or an OLAP system arises. A Key point to remember is a data warehouse is mostly a relational database. It’s built on top of same concepts like Tables, Rows, Columns, Primary keys, Foreign Keys, etc. Before we talk about how data warehouses are typically structured let’s understand key components that can create a data flow between OLTP systems and OLAP systems. There are 3 major areas to it: a) OLTP system should be capable of tracking its changes as all these changes should go back to data warehouse for historical recording. For e.g. if an OLTP transaction moves a customer from silver to gold category, OLTP system needs to ensure that this change is tracked and send to data warehouse for reporting purpose. A report in context could be how many customers divided by geographies moved from sliver to gold category. In data warehouse terminology this process is called Change Data Capture. There are quite a few systems that leverage database triggers to move these changes to corresponding tracking tables. There are also out of box features provided by some databases e.g. SQL Server 2008 offers Change Data Capture and Change Tracking for addressing such requirements. b) After we make the OLTP system capable of tracking its changes we need to provision a batch process that can run periodically and takes these changes from OLTP system and dump them into data warehouse. There are many tools out there that can help you fill this gap – SQL Server Integration Services happens to be one of them. c) So we have an OLTP system that knows how to track its changes, we have jobs that run periodically to move these changes to warehouse. The question though remains is how warehouse will record these changes? This structural change in data warehouse arena is often covered under something called Slowly Changing Dimension (SCD). While we will talk about dimensions in a while, SCD can be applied to pure relational tables too. SCD enables a database structure to capture historical data. This would create multiple records for a given entity in relational database and data warehouses prefer having their own primary key, often known as surrogate key. As I mentioned a data warehouse is just a relational database but industry often attributes a specific schema style to data warehouses. These styles are Star Schema or Snowflake Schema. The motivation behind these styles is to create a flat database structure (as opposed to normalized one), which is easy to understand / use, easy to query and easy to slice / dice. Star schema is a database structure made up of dimensions and facts. Facts are generally the numbers (sales, quantity, etc.) that you want to slice and dice. Fact tables have these numbers and have references (foreign keys) to set of tables that provide context around those facts. E.g. if you have recorded 10,000 USD as sales that number would go in a sales fact table and could have foreign keys attached to it that refers to the sales agent responsible for sale and to time table which contains the dates between which that sale was made. These agent and time tables are called dimensions which provide context to the numbers stored in fact tables. This schema structure of fact being at center surrounded by dimensions is called Star schema. A similar structure with difference of dimension tables being normalized is called a Snowflake schema. This relational structure of facts and dimensions serves as an input for another analysis structure called Cube. Though physically Cube is a special structure supported by commercial databases like SQL Server Analysis Services, logically it’s a multidimensional structure where dimensions define the sides of cube and facts define the content. Facts are often called as Measures inside a cube. Dimensions often tend to form a hierarchy. E.g. Product may be broken into categories and categories in turn to individual items. Category and Items are often referred as Levels and their constituents as Members with their overall structure called as Hierarchy. Measures are rolled up as per dimensional hierarchy. These rolled up measures are called Aggregates. Now this may seem like an overwhelming vocabulary to deal with but don’t worry it will sink in as you start working with Cubes and others. Let’s see few other terms that we would run into while talking about data warehouses. ODS or an Operational Data Store is a frequently misused term. There would be few users in your organization that want to report on most current data and can’t afford to miss a single transaction for their report. Then there is another set of users that typically don’t care how current the data is. Mostly senior level executives who are interesting in trending, mining, forecasting, strategizing, etc. don’t care for that one specific transaction. This is where an ODS can come in handy. ODS can use the same star schema and the OLAP cubes we saw earlier. The only difference is that the data inside an ODS would be short lived, i.e. for few months and ODS would sync with OLTP system every few minutes. Data warehouse can periodically sync with ODS either daily or weekly depending on business drivers. Data marts are another frequently talked about topic in data warehousing. They are subject-specific data warehouse. Data warehouses that try to span over an enterprise are normally too big to scope, build, manage, track, etc. Hence they are often scaled down to something called Data mart that supports a specific segment of business like sales, marketing, or support. Data marts too, are often designed using star schema model discussed earlier. Industry is divided when it comes to use of data marts. Some experts prefer having data marts along with a central data warehouse. Data warehouse here acts as information staging and distribution hub with spokes being data marts connected via data feeds serving summarized data. Others eliminate the need for a centralized data warehouse citing that most users want to report on detailed data. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Best Practices, Business Intelligence, Data Warehousing, Database, Pinal Dave, PostADay, Readers Contribution, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • CreationName for SSIS 2008 and adding components programmatically

    If you are building SSIS 2008 packages programmatically and adding data flow components, you will probably need to know the creation name of the component to add. I can never find a handy reference when I need one, hence this rather mundane post. See also CreationName for SSS 2005. We start with a very simple snippet for adding a component: // Add the Data Flow Task package.Executables.Add("STOCK:PipelineTask"); // Get the task host wrapper, and the Data Flow task TaskHost taskHost = package.Executables[0] as TaskHost; MainPipe dataFlowTask = (MainPipe)taskHost.InnerObject; // Add OLE-DB source component - ** This is where we need the creation name ** IDTSComponentMetaData90 componentSource = dataFlowTask.ComponentMetaDataCollection.New(); componentSource.Name = "OLEDBSource"; componentSource.ComponentClassID = "DTSAdapter.OLEDBSource.2"; So as you can see the creation name for a OLE-DB Source is DTSAdapter.OLEDBSource.2. CreationName Reference  ADO NET Destination Microsoft.SqlServer.Dts.Pipeline.ADONETDestination, Microsoft.SqlServer.ADONETDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 ADO NET Source Microsoft.SqlServer.Dts.Pipeline.DataReaderSourceAdapter, Microsoft.SqlServer.ADONETSrc, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Aggregate DTSTransform.Aggregate.2 Audit DTSTransform.Lineage.2 Cache Transform DTSTransform.Cache.1 Character Map DTSTransform.CharacterMap.2 Checksum Konesans.Dts.Pipeline.ChecksumTransform.ChecksumTransform, Konesans.Dts.Pipeline.ChecksumTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Conditional Split DTSTransform.ConditionalSplit.2 Copy Column DTSTransform.CopyMap.2 Data Conversion DTSTransform.DataConvert.2 Data Mining Model Training MSMDPP.PXPipelineProcessDM.2 Data Mining Query MSMDPP.PXPipelineDMQuery.2 DataReader Destination Microsoft.SqlServer.Dts.Pipeline.DataReaderDestinationAdapter, Microsoft.SqlServer.DataReaderDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Derived Column DTSTransform.DerivedColumn.2 Dimension Processing MSMDPP.PXPipelineProcessDimension.2 Excel Destination DTSAdapter.ExcelDestination.2 Excel Source DTSAdapter.ExcelSource.2 Export Column TxFileExtractor.Extractor.2 Flat File Destination DTSAdapter.FlatFileDestination.2 Flat File Source DTSAdapter.FlatFileSource.2 Fuzzy Grouping DTSTransform.GroupDups.2 Fuzzy Lookup DTSTransform.BestMatch.2 Import Column TxFileInserter.Inserter.2 Lookup DTSTransform.Lookup.2 Merge DTSTransform.Merge.2 Merge Join DTSTransform.MergeJoin.2 Multicast DTSTransform.Multicast.2 OLE DB Command DTSTransform.OLEDBCommand.2 OLE DB Destination DTSAdapter.OLEDBDestination.2 OLE DB Source DTSAdapter.OLEDBSource.2 Partition Processing MSMDPP.PXPipelineProcessPartition.2 Percentage Sampling DTSTransform.PctSampling.2 Performance Counters Source DataCollectorTransform.TxPerfCounters.1 Pivot DTSTransform.Pivot.2 Raw File Destination DTSAdapter.RawDestination.2 Raw File Source DTSAdapter.RawSource.2 Recordset Destination DTSAdapter.RecordsetDestination.2 RegexClean Konesans.Dts.Pipeline.RegexClean.RegexClean, Konesans.Dts.Pipeline.RegexClean, Version=2.0.0.0, Culture=neutral, PublicKeyToken=d1abe77e8a21353e Row Count DTSTransform.RowCount.2 Row Count Plus Konesans.Dts.Pipeline.RowCountPlusTransform.RowCountPlusTransform, Konesans.Dts.Pipeline.RowCountPlusTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Row Number Konesans.Dts.Pipeline.RowNumberTransform.RowNumberTransform, Konesans.Dts.Pipeline.RowNumberTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Row Sampling DTSTransform.RowSampling.2 Script Component Microsoft.SqlServer.Dts.Pipeline.ScriptComponentHost, Microsoft.SqlServer.TxScript, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Slowly Changing Dimension DTSTransform.SCD.2 Sort DTSTransform.Sort.2 SQL Server Compact Destination Microsoft.SqlServer.Dts.Pipeline.SqlCEDestinationAdapter, Microsoft.SqlServer.SqlCEDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 SQL Server Destination DTSAdapter.SQLServerDestination.2 Term Extraction DTSTransform.TermExtraction.2 Term Lookup DTSTransform.TermLookup.2 Trash Destination Konesans.Dts.Pipeline.TrashDestination.Trash, Konesans.Dts.Pipeline.TrashDestination, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b8351fe7752642cc TxTopQueries DataCollectorTransform.TxTopQueries.1 Union All DTSTransform.UnionAll.2 Unpivot DTSTransform.UnPivot.2 XML Source Microsoft.SqlServer.Dts.Pipeline.XmlSourceAdapter, Microsoft.SqlServer.XmlSrc, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Here is a simple console program that can be used to enumerate the pipeline components installed on your machine, and dumps out a list of all components like that above. You will need to add a reference to the Microsoft.SQLServer.ManagedDTS assembly. using System; using System.Diagnostics; using Microsoft.SqlServer.Dts.Runtime; public class Program { static void Main(string[] args) { Application application = new Application(); PipelineComponentInfos componentInfos = application.PipelineComponentInfos; foreach (PipelineComponentInfo componentInfo in componentInfos) { Debug.WriteLine(componentInfo.Name + "\t" + componentInfo.CreationName); } Console.Read(); } }

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  • The Connected Company: WebCenter Portal - Feedback - Analytics and Polls

    - by Michael Snow
    Evernote Export body, td { }Guest Post by: Mitchell Palski, Staff Sales Consultant The importance of connecting peers has been widely recognized and socialized as a critical component of employee intranets. Organizations are striving to provide mediums for sharing knowledge and improving awareness across their enterprise. Indirectly, the socialization of your enterprise should lead to cost savings and improved product/service quality. However, many times the direct effects of connecting an organization’s leadership with its employees are overlooked. Oracle WebCenter Portal can help you bridge that gap by gathering implicit and explicit feedback. Implicit Feedback Through Usage Analytics Analytics allows administrators to track and analyze WebCenter Portal traffic and usage. Analytics provides the following basic functionality: Usage Tracking Metrics: Analytics collects and reports metrics of common WebCenter Portal functions, including community and portlet traffic. Behavior Tracking: Analytics can be used to analyze WebCenter Portal metrics to determine usage patterns, such as page visit duration and usage over time. User Profile Correlation: Analytics can be used to correlate metric information with user profile information. Usage tracking reports can be viewed and filtered by user profile data such as country, company or title. Usage analytics help measure how users interact with website content – allowing your IT staff and business analysts to make informed decisions when planning development for your next intranet enhancement. For example: If users are not accessing your Announcements page and missing critical information that they need to be aware of, you may elect to use graphical links on the home page to direct more users to that page. As a result, the number of employee help-requests to HR decreases. If users are not accessing your News page to read recent articles, you may elect to stop spending as much time updating the page with new stories and cut costs in your communications department. You notice that there is a high volume of users accessing the Employee Dashboard page so your organization decides to continue making personalization enhancements to the page and investing in the Portal tool that most users are accessing. Usage analytics aren’t necessarily a new concept in the IT industry. What sets WebCenter Portal Analytics apart is: Reports are tailored for WebCenter specific tools Report can be easily added to a page as simple as a drag-and-drop Explicit Feedback Through Polls WebCenter Portal users can create, edit, take, and analyze online polls. With polls, you can survey your audience (such as their opinions and their experience level), check whether they can recall important information, and gather feedback and metrics. How many times have you been involved in a requirements discussion and someone has asked a question similar to “Well how do you know that no one likes our home page?” and the response is “Everyone says they hate it! That’s all anyone complains about.” No one has any measurable, quantifiable metric to gauge user satisfaction. Analytics measure usage, but your organization also needs to measure the quality of your portal as defined by the actual people that use it. With that information, your leadership can make informed decisions that will not only match usage patterns but also relate to employees on a personal level. The end result is a connection between employees and leadership that gives everyone in the organization a sense of ownership of their Portal rather than the feeling of development decisions being segregated to leadership only. Polls can be created and edited through the Poll Manager: Polls and View Poll Results can easily be added to a page through drag-and-drop. What did we learn? Being a “connected” company doesn’t just mean helping employees connect with each other horizontally across your enterprise. It also means connecting those employees to the decisions that affect their everyday activities. Through WebCenter Portal Usage Analytics and Polls, any decision that is made to remove a Portal page, update a Portal page, or develop new Portal functionality, can be justified by quantifiable metrics. Instead of fielding complaints and hearing that your employees don’t have a voice, give those employees a voice and listen!

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