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As an example, let s take a look at how the purchase of an Oracle Exadata Database Machine might be justified in solving a transportation or logistics problem In our theoretical organization, if transported items do not arrive within 24 hours of their scheduled delivery time, the value of the contents is significantly diminished due to increased risk of spoilage Lines of business in this organization track metrics that reflect the declining value of these items They have measured the impact of delays as reducing the price of delivered goods by $88,000 per day Analysis used in optimizing routing of the items currently occurs only once a day and prior to shipment since queries and analyses are so complex that they take hours to run The manager of logistics knows that if they could run queries and analyses every hour and see results within an hour (eg, the results will come back five to eight times faster than currently possible), they d run their business differently They would be able to adjust routes and schedules and
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to changes in demand that appear during the day By making these adjustments, they could reduce the revaluation of these items by 75 percent and save $66,000 per day through more on-time deliveries Given these business metrics, the IT organization can now size the Oracle Exadata Database Machine They will need a configuration large enough to return query results submitted by the logistics analysts in about an hour to deliver the anticipated business cost savings Upon sizing of the Oracle Exadata Database Machine configuration, the costs for the hardware and software required, implementation, and ongoing support can be calculated The business sponsor, CFO, and CIO can then do a simple benefit-cost analysis and determine how long it will take to achieve a return on investment In this example, the Oracle Exadata Database Machine likely will pay for itself within months At this point, you might have expected to read about best practices for executing data warehousing benchmarks The fact is, unless you have identified business drivers similar to those covered in this example, it probably doesn t make any difference how much faster the Oracle Exadata Database Machine turns out to be in such a test If you do decide you want to run performance tests on the platform before you make a final commitment to buying it, the criteria for a successful test should be driven by providing performance needed to deliver query and analysis results in time to make appropriate business decisions that deliver business value Of course, you should also satisfy yourself that future deployment conditions are being simulated with the right mix of workload concurrency and database data volume that will give you confidence that your data warehouse will perform
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Summary
In this chapter, we quickly journeyed through the history of Oracle in data warehousing and provided descriptions of how the Oracle Exadata Database Machine and Oracle Exadata Storage Server Software combine to deliver functionality and performance that only a tightly integrated hardware and software solution can deliver The flexibility of the Oracle database enables deployment of schemas appropriate for enterprise data warehouses, data marts, or hybrid combinations of these types The Oracle Exadata Database Machine and Oracle Exadata Storage Server Software enable successful deployment of the largest and most complex configurations supporting all of these deployment models
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