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With the Pro_SSRS project open, navigate to the Reports folder, and open the Average Referrals to Admission report. Next, open the Report Data window. Right-click the Patient_Referral dataset and select Query. Notice that the query recognizes that you are using MDX and brings up the graphical MDX query designer, as shown in Figure 10-5. There are actually two datasets for this report, Patient_Referral and DateofAdmissionYear.

So your data centers should be far enough away from each other that they will hopefully not be affected by the same event, while maintaining a distance that allows you to be there in a reasonable amount of time Depending on the location of the primary and remote data centers, you may also need to factor in flying and renting cars and the resulting time and cost Your company may have policies for travel, but in a disaster recovery window, you cannot fret about a ticket booked one hour in advance costing you an arm and a leg That is just penny-wise and pound-foolish.

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This also has to factor into your SLA; how can you set a two-hour recovery window if it is going to take you four to even get to the door of the remote location Once you know that your logistics are set and how to approach them, it should make things much easier It is these types of little things airplane tickets, access to the remote data center, remote location, budget that can cause paralysis and cost you crucial time The order of the day should be get it done, not how cheap is that flight.

18. Once again from the New Data Graphic window, click on New Item and in the Data field, choose Missing baggage count. 19. Under the Displayed as option, choose Data Bar and select Star rating as the Style. 20. In the Details section, set Minimum Value to 18 and Maximum Value to 0 and leave the other options as is, as shown in Figure 2 31. Uncheck Use default position and set Horizontal to Center and Vertical to Top and click OK.

Do not think that one disaster recovery plan is enough. If your main plan (plan A) is not able to be executed for whatever reason, you need a plan B, or maybe a plan C or more. Each scenario you are mitigating may have a different set of circumstances, so you need to treat them differently, and possibly have multiple plans per scenario.

Figure 10-5. Viewing the two datasets for the Average Referrals to Admission report The type of data source for both datasets is Microsoft SQL Server Analysis Services. You will need to change the data source server from localhost, defaulted in the report, or the default to your SSAS server name. You can do that easily by right-clicking the PatRef_DS data source and editing the data source properties to match your environment, as shown in Figure 10-6. With the datasets configured properly for your SSAS environment, you will next look at how you build the MDX queries.

Note Since the maximum baggage count by any airline carrier in this example is 18, we ll use this for easy comparison.

One of the biggest keys to a successful disaster recovery operation is that ugly word documentation. It is given a lot of lip service in many organizations. Many even write documentation, but no one reads it or keeps it up-to-date. It never matters until you actually need it, then you are in a world of hurt. The other part about documentation is that it is not write once, file somewhere, and forget about it. Documents need to be a living archive of what it will take to get your environment back up and running. If your architecture changed in the past year and the documentation was not updated accordingly, how are you going to execute any plans using or referencing outdated documents What you do not know will kill you in this case. I know it is hard to find the time, and it is easy to become very lax when it comes to this, but if you are serious about disaster recovery, or just making sure that others have the most current information about your environment, you need to keep things up-to-date.

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