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To satisfy the similarity that is specified at the component level, all rows must have a similarity across all columns that is greater than or equal to the similarity threshold that is specified at the component level To identify a similarity threshold that works for your data, you might have to apply the Fuzzy Grouping transformation several times using different minimum similarity thresholds At run time, the score columns in transformation output contain the similarity scores for each row in a group You can use these values to identify the similarity threshold that is appropriate for your data If you want to increase similarity, you should set MinSimilarity to a value larger than the value in the score columns..

The following software is required to complete the procedures in this training kit. (A 180-day Evaluation Edition of Microsoft Windows XP Professional with Service Pack 2 is included on the CD-ROM.)

After this lesson, you will be able to:

Practice 1: Troubleshoot IPSec with IPSec Monitor . . . . . . . . . . . . . . . . . . 11-74

MSDE has more features, but it uses more system resources. Specifically, you can expect an overall 10 percent to 20 percent improvement in processor utilization when switching to file logging from MSDE. MSDE logging also consumes more disk storage resources. MSDE logging performs about two disk accesses on every megabit. File logging will require the same amount of disk accesses for 10 megabits. One way to improve ISA Server performance is to switch from MSDE to file logging. This is recommended only when there is a performance problem caused by saturated processor or disk access.

Ultimately the goal for defining the database data is usually to store data Once you have your entities and their keys defined, you can go through the process of determining what data is required for the particular project The ORM diagrams can indicate data that is required for each entity but will likely not include every piece of information you will need In our ORM diagram (Figure 6-3) several entities actually have attributes associated with them The Order entity has Order Number and Order Date attributes In addition, other entities do not have any nonrelationship attributes defined For example, the Salesperson entity has relationships only to Order and Customer entities This ORM diagram is indicative of a common problem in ORM diagrams: lack of complete detail on entity attributes Your role is to take these entities and determine the real data requirements for each entity.

Data encryption, new in SQL Server 2005, provides a highly secure environment, but with a possible high performance cost. You should evaluate the need for encryption carefully and test the impact on your applications. When you need to create a linked server to access an external data source, you should pay special attention to two configuration options: the OLE DB provider you will use to connect to the external data source and the security mechanism that will validate the connections to the external data source.

2. You are also concerned about the security of automated DNS updates from clients on the network. How can you continue to ensure minimal DNS administration while ensuring a secure DNS environment for automatic updates

STDMETHODIMP CApplication::UpdateProperty(UINT nCmdID, __in REFPROPERTYKEY key, __in_opt const PROPVARIANT* ppropvarCurrentValue, __out PROPVARIANT* ppropvarNewValue) { HRESULT hr = E_NOTIMPL; if (nCmdID != cmdSpinner) return hr; if (key == UI_PKEY_MinValue) { DECIMAL d; VarDecFromI4(10, &d); hr = UIInitPropertyFromDecimal(key, d, ppropvarNewValue); } if (key == UI_PKEY_MaxValue) { DECIMAL d; VarDecFromI4(20, &d); hr = UIInitPropertyFromDecimal(key, d, ppropvarNewValue); } if (key == UI_PKEY_Increment) { DECIMAL d;

The task of gathering attribute information about your entities is a fact-finding mission It is part common sense and part detective work It s your job to determine what attributes belong, but it s also important not to attempt to add every piece of data you think you might need one day To outline the task of gathering this attribute information, let s look at the Order entity Currently the ORM diagram dictates that we have an Order Number and an Order Date In addition, we have Shipping Location, Salesperson, and Customer Although these are foreign keys, they are also attributes It is likely that an order is a common e-commerce application that will need more attributes about an order Using common sense, you could assume that there will be a need for some more information about an order.

CREATE TABLE dbo.CustomerToCustomerAddress (CustomerID int NOT NULL FOREIGN KEY (CustomerID) REFERENCES dbo.Customer(CustomerID), CustomerAddressID int NOT NULL FOREIGN KEY (CustomerAddressID) REFERENCES dbo.CustomerAddress(CustomerAddressID), CONSTRAINT PK_CustomerToCustomerAddress PRIMARY KEY CLUSTERED(CustomerID, CustomerAddressID));