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The results of these queries are sent to the reporting environment, where Phase 2 will be performed. Whether on a desktop tool or application server, this phase is not performed by the RDBMS. The reporting application merges the result sets in this environment to produce the final report. This approach may be implemented using procedural logic, supported by your reporting tool, or automatically invoked by a business intelligence product (see the sidebar). In each case, it effectively avoids the hazard of joining two fact tables, providing accurate and consistent results. The execution of Phase 2 outside the realm of the database is often criticized as inefficient. Detractors point out that information is moved across the network to an application server to be joined, despite the fact that the RDBMS is specifically designed to join data sets. Notice, however, that the join process in Phase 2 is a full outer join. This process requires each data set to be sorted consistently, and then merged together. If the DBMS is asked to sort the data before it is forwarded to the application server, all that remains is the merge, which is relatively simple. In fact, performance gains may be realized by performing this merge without the overhead of the RDBMS. barcode add in excel 2010 free Barcode Add in for Word and Excel - Free download and software ...
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A short description of how to add a barcode to an Excel document and link the barcode with a cells content. First launch Excel and create a new document or ... Figure 5-2, you regularly schedule the data to be dumped to another file that is not directly accessed by the database server. This dump file can then be backed up offline, along with any other files on the system. In the event that a restoration is required, the systems administrator can reload the data from the dump file into the database. The disadvantage to offline backups is that creating dump files can negatively affect performance especially that of the disk subsystem and can require large amounts of disk space that is essentially useless for any purpose other than backups. There are actually many reasons for performing live backups of your databases. Perhaps the most common is the volume of data. As we ll see later in this chapter, disk resources can be considerably more expensive than tape storage. Large databases consume much disk space that might otherwise be used by clients. Figures 5-1 and 5-2 show the difference between live and offline backups. Another reason for performing live database backups is performance. Creating dump files can use CPU and memory resources, and thus degrade the overall performance of the server. In situations where database server availability and performance is critical around the clock, live backups may need to be performed whenever possible. convert text to barcode in excel 2016 Barcode Add-In for Microsoft Excel - YouTube
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Online Barcode-Generator zum Erstellen und Drucken von Barcodes (EAN13, EAN128, Codabar, Interleaved, etc.), Ausgabeformate JPG, PNG, PDF, Excel,... This chapter explored some of the intricacies that hide within dimension tables. Many tools link the concept of attribute hierarchies with drilling, so you may be forced to document them. Usually it is unnecessary to instantiate attribute relationships in physical tables, unless you have a tool that requires it. On rare occasions, it may be useful to design an outrigger, Figure 5-2. which takes advantage of these relationships to ensure consistency. Key takeaways from this chapter include: Drilling is the activity of adding dimensional detail to a fact. It does not require the presence of a hierarchy, although many software tools do. An attribute hierarchy describes parent child relationships between groups of attributes within a dimension. Although some reporting tools define drilling as moving up and down a hierarchy, there are other ways to add and remove detail from a report. Some of these methods may add detail even as they move up a hierarchy. If you are working with a business intelligence tool that links drilling to hierarchies, it may be useful to document attribute hierarchies. This may also help with the planning of conformed dimensions, cubes, and aggregates. When relationships between attributes in a dimension are expressed explicitly, the result is called a snowflake schema. You can check if the data value does not match any of the target values by using the NOT IN form of the set membership test. The test expression in an IN test can be any SQL expression, but it's usually just a column name, as in the preceding examples. If the test expression produces a NULL value, the IN test returns NULL. All of the items in the list of target values must have the same data type, and that type must be comparable to the data type of the test expression. Like the BETWEEN test, the IN test doesn't add to the expressive power of SQL, because the search condition: When shopping for backup hardware, you ll need to make sure that the product you select supports the types of backups you plan to perform. In general, all backup software will allow you to perform cold backups. However, software packages must be specifically designed to allow for hot backups. As we ll see in 6, SQL Server 7 can perform both operations. Later in this chapter, we ll look at third-party software packages that can provide the same feature. barcode in excel 2003 Using Barcode Fonts in Excel Spreadsheets - Morovia
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