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Strong vertical markets" for wireless mobile data initially drove early deployments in the 1990s and remain the most robust center for data today Blue collar verticals manufacturing concerns, utilities, warehousing, field service, dispatch, package tracking were among the earliest adopters of digital wireless data because they could show a high return on investment (ROI) The precedent was set in the 1980s, when Federal Express (FedEx) launched a groundbreaking, proprietary radio data system, creating the first wireless real-time tracking system This gave FedEx an enormous lead over other shipping companies endearing them to customers, because FedEx could provide a much faster, better-documented service Competitors were forced to revamp the way they did business UPS quickly jumped into wireless data for package tracking in the early 1990s, and the company now is deploying its second generation system Similarly, FedEx Ground, which used to be called RPS (Roadway Package System), is now rolling out an application running on the Mobitex-based packet data network from Cingular Interactive, with enterprise middleware solutions from Broadbeam Corp that reach 5000 FedEx Ground employees Sears was another wireless data pioneer Its Sears Product Repair Services division began reengineering customer service and field force repair in the late 1980s The company originally found that service technicians made prodigious numbers of phone calls from pay phones back to the home office to order products and parts, check stock, and revise repair schedules This took technicians approximately 30 minutes each day time they could otherwise spend making customer service calls Other inefficiencies were also identified and quantified Customers would sometimes cancel calls while technicians were already enroute; or they would be unavailable to answer the door All order forms and service bills had to be filled out manually along with other administrative tasks It was concluded these inefficiencies could cost justify a dynamic dispatch where routes could change according to calls and cancellations during the day Sears initially selected a wireless data system consisting of a ruggedized handheld device from IBM, communications network by ARDIS, and a DOS-based field service application designed by the Sears information systems team But after initial tests and IBM s exit from the ruggedized marketplace, Sears Product Repair Services adopted a ruggedized handheld PC (Itronix XC-6000) with a portable printer and wireless capability Productivity benefits were evident even in the ini-.

On line 12 of the file, you should see that the authentication mode is set to PassThrough. Make sure that you log in to SharePoint as a user who doesn t have permission to the Northwind database. We ll refer to this user as User A. Navigate to a SharePoint site, and add a Business Data List Web Part. Configure the web part to point to the Products entity. (You should find that an error is returned, as you don t have permissions to view that table.) Log in to SharePoint as another user (we ll refer to that user as User B), and you should be granted permission to the data in the web part. (This proves that your SharePoint user account is being passed through to the database.) Now change the XML file to use RevertToSelf. Use Find and Replace if necessary, as there will only be one instance. Log back on to SharePoint as User A or User B. Neither user should be able to see the data. You can now grant User B permission to the products data by using security trimming. Open SharePoint Central Administration. Click the Shared Services Provider page, which can be found in the Quick Launch area on the left side of your screen. In the Business Data Catalog section, click View Entities. Click the drop-down on the Products entity and choose Manage Permissions. Click Add Users/Groups. Add User B and select Execute Permission.

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Q: A:

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Why aren t you using the Doctrine result cache to cache query results While it is certainly possible to use the Doctrine result cache for query results, doing so invariably requires one to load the Doctrine model(s) The approach used in this example bypasses this step, such that the Doctrine model is not invoked at all This reduces the amount of code executed even further and only helps to increase overall performance

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