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involves using data from multiple source systems There may be some sources that are used purely to get descriptive data for the dimension The functionality is easier to understand in a speci c context, so let s look at common functions needed to build and maintain a Customer dimension: Validate the customer: Determine whether the incoming customer is already known Identify changes to known customers: If the customer is known, have there been any changes to that customer information This may require looking at data from several sources perhaps the sales transactions, the corporate marketing customer database, and the accounting systems Handle changes to known customers: For existing customers, make sure that changes are handled appropriately Sometimes data is updated to re ect the current values In other cases, historical versions of the customer are needed This concept, rst described in 7, is called slowly changing dimensions Many other data warehouse books provide technical details about developing and maintaining slowly changing dimensions Needless to say, this simply means that there is more work to be done and a little more complexity to be managed Identify new customers: If this is a new customer, then look at the sources mentioned above to determine whether the customer is identi ed in those systems If this is a new customer, then a new data warehouse identi er is assigned This is called assigning a surrogate key Build a full description for new customers: Once a new customer is identi ed, data must be located to fully populate all of the customer attributes This may require looking at a variety of data sources It also requires guidelines that prioritize the sources Perhaps the customer master database from the marketing department should always be the rst place to look for customer information If the customer is not found there, then use the name and address data from the source where the customer was rst identi ed and then request demographic data from a third-party data provider The source must be selected for each data element Validate data relationships: Follow the de ned business rules to ensure that all of the data relationships are correct For example, check the city, state, and zip code values to ensure that they represent a valid combination This may include standard relationships such as the geography, as well as internal relationships such as customers living in Illinois belonging to the Midwest sales region Map customer data from multiple sources: When data is being processed from more than one source system, there must be a method to associate the.

Commands and Arguments /full /syncall Destination_DSA [Naming_ Context] [Flags]/kcc [DSA] [/async] / async /bind [DSA] /propcheck Naming_ Context Originating_DSA_ Invocation_ID Originating_ USN [DSA_from_which_to_ enumerate_host_DSAs] /getchanges Naming_Context [Source_DSA] [/cookie:file] /showreps [Naming_Context] [DSA [Source_DSA_UUID]] [/verbose] [/unreplicated] [/nocache]

First, locate your diaphragm: Place your right hand flat on your stomach just above your navel and below the bottom of your rib cage. Now take a series of short sniffs as though you are trying to detect the smell of something on fire. You should feel the area under your hand moving in and out. This is your diaphragm. Now, place your left hand on your upper chest just below your collarbone, keeping your right hand over your diaphragm. Take a few normal breaths. If you re breathing correctly, you feel the rhythmic rising and falling movement of your breathing in your right hand. If you feel

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Explanation Forces a full replication of all objects from the destination DSA. Repadmin does not wait for the replication event to complete. Binds the Directory System Agent (DSA). Checks USN of DSA.

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