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Having selected the objects to include, click Next to progress to the Generate Relationships screen of the wizard This screen is used to establish relationships among the tables we are bringing into the model After all, what good is a relational data source without relationships These relationships create a logical link between tables when one table references data in another table For instance, a Sales table referencing a Product Code might be related to the Product table, linked by the Product Code, so that we can write a report with the revenue from the Sales table and the product name from the Product table and get the desired result Cognos 8 Framework Manager is offering to help us by trying to create relationships among the tables in our model based on the rules you choose in this screen Remember, though, that the purpose of the wizard is to save you time by performing some steps for you If you are not careful with what you allow Framework Manager to do in this step, you may spend more time looking for and cleaning up bad relationships that it created for you than you would have spent creating only the right ones manually The safest option is the default option to Use Primary And Foreign Keys, which means only integrity constraints defined between tables in your source database will be imported in the model as joins While not always completely correct, and while rarely complete, this is usually a good starting point Then again, selecting this option might give you no automatically created relationships because the source database does not need to have the primary-foreign key relationships defined In fact, if your source is a data warehouse, integrity constraints are often missing This means only that you will need to create all the relationships manually, but, as we will soon explain, that is a pretty quick operation As shown in Figure 15-5, the other options are to use column name matching, either only on uniquely indexed columns or on all columns These require a bit more knowledge of the naming conventions of your database If every table has an indexed field generically named ID or CODE, then even when using only uniquely indexed columns, all of them will be joined to each other, which would be bad If they are consistently named something like PRODUCT_CODE in both the Product table and in all the tables that refer to it, such as Sales and Inventory, then this option for the uniquely indexed columns might work for you Using just matching query item names is almost never a good idea, lest you end up with something like the DESCRIPTION field in the Product table linked to the DESCRIPTION fields in the Customer table and every other table with a DESCRIPTION field And that would be awful.

CGI stands for common gateway inte6ace, and it refers to software running on the server that is called when a client submits a form The CGI program uses information contained in the form to process the client's request

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The metrics of the current system that will help size the destination system for capacity are mainly database space utilization metrics These metrics include data and index space utilization, the planned growth (linear), and unplanned growth (nonlinear) metrics Determining unplanned or nonlinear growth is a bit tricky, since the Database Machine is a consolidation platform and the rate at which an enterprise chooses to consolidate multiple databases and applications to the new platform may be unknown Once multiple lines of business (LOBs) start seeing benefits, the rate of consolidation to the Database Machine can grow rapidly Once the capacity data is obtained, you can use it to calculate the rack size of the Database Machine that satisfies the capacity requirements The Database Machine comes prebundled with one of two flavors of hard drives, the 600GB High Performance SAS (HP-SAS) or 2TB High Capacity SAS (HCSAS), and by choosing one of these flavors of drives in a full-rack Database Machine, you can get a total raw space of 100TB or 336TB, respectively However, this is the raw capacity, and the advertised usable data capacity (uncompressed) of the full rack, after taking out ASM mirroring and other system overheads, comes down to 45TB for HP-SAS and 150TB for HC-SAS Use Table A-1 to match the total space you need against the capacity of each configuration to come up with the Database Machine of the right size that satisfies the capacity requirements

Part IV:

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