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At first thought, you might see some natural tables. The Customer table could contain all the customer information. The CustomerAddress table could contain all the addresses, along with a column to designate which address is the primary. The Orders table could contain order information and be linked to the Customer and Cus tomerAddress table. The OrderDetails table could be linked to the Orders and Prod ucts table. This design would certainly meet requirements to store data in as little storage space as possible by eliminating any data redundancies. However, with read operations outweighing write operations, and the primary address being required most often, you would have to join the Customers and CustomerAddress tables together while also picking out the primary address on a frequent basis. To solve the problem of having to join the Customers and CustomerAddress tables together, you decide to move the primary address into the Customers table. Now all the queries that require the primary address do not have to join to the CustomerAddress

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table You do not increase the actual storage on disk because each customer must have a primary address However, you have introduced two problems into the design When you must join the Customers and CustomerAddress tables together, you need to use an outer join, which is much more expensive than an inner join, and you have the possibility of returning invalid data because the outer join might preserve rows that should have been filtered out of the query The outer join is the least of your worries You now have a major issue with the Orders table You have created the equivalent of a con ditional join that cannot be handled in an elegant way If an order is shipped to the primary address, you have to retrieve data from the Customers table.

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namespace PHWCFService { public class PHService : IPHService { HelperFunctions hlp = new HelperFunctions(); public IEnumerable<TimeSeriesData> getTimeSeries(string ticker, string startdate, string enddate) { XmlDocument xmlDoc = hlp.getXML(ticker, startdate, enddate); XDocument xDoc = XDocument.Parse(xmlDoc.InnerXml); IEnumerable<TimeSeriesData> ret = from item in xDoc.Descendants("TimeSeries") select new TimeSeriesData { adjclose = Convert.ToDouble(item.Element("AdjClose").Value), close = Convert.ToDouble(item.Element("Close").Value), high = Convert.ToDouble(item.Element("High").Value), low = Convert.ToDouble(item.Element("Low").Value), open = Convert.ToDouble(item.Element("Open").Value), volume = Convert.ToDouble(item.Element("Volume").Value), date = Convert.ToDateTime(item.Element("Date").Value) }; return ret; } } }

If an order is shipped to an address other than the primary, you have to retrieve data from the CustomerAddress table You might choose to solve this problem by instead introducing a third table that con tains data from the Customers table along with the primary address This denormal ized table is maintained by triggers on the Customers and CustomerAddress tables, improving the performance of many of the queries in the read-intensive database by effectively precalculating the join to pull the primary address An alternative to this approach is to create an indexed view that joins the Customers and CustomerAddress tables together to provide one row per customer with the primary address However, this alternative violates the business requirement that you must minimize the storage space.

When designing best practices for small businesses, be wary of the best practice trap: A security checklist created by a large agency that has not reviewed your small organization for its needs and risks may not be the wisest security checklist to follow. It is too easy to get lost in the minutiae of detail and not step back to look at the larger picture. Best Practices Warning

Clearly, any approach violates one or more business requirements, so as a database designer you need to make choices and be prepared to justify those choices Practi cally speaking, you should generally be looking for designs that minimize all aspects from storage through query performance, but this is not always possible In the face of conflicting requirements, performance and minimizing the amount of memory consumed should be the overriding factors in a design When designing the database structure, you need to consider how you will store the data that is required while also considering how users will access the data from the system Unfortunately, too many databases are designed based on the data that needs to be stored, and the considerations for how the data will be used is left as someone else s problem to figure out.

While this section is called best practices, always decide on which practices are actually best for the organization currently under review, and not just because some checklist or document says so.

So, how do we suggest that you solve the problem of the Fabrikam International data base Storing the data in the Customers, CustomerAddress, Products, Orders, and OrderDetails tables provides minimal storage for the data and enables developers to.

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