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Extracting the data can be a lot harder than it sounds The business needs information about the latest transactions, or those that have been processed since the last time the ETL system was run It is also necessary to get the reference data that describes those transactions For example, if an existing customer moved but has since purchased more products, you need to know the details about the customer s new location and still get the purchase transaction(s) The challenges in extracting data are directly related to the ability of a source system to provide new business transactions and supporting reference data Some systems identify when changes have happened and can easily share the data Other systems effectively do what is necessary to complete the transaction but are not designed to keep track of what has changed This may mean that the data warehouse gets a copy of the entire customer le, and the ETL system needs to gure out what has changed Clearly, there is a signi cant difference in the amount of work required to sift through the entire customer le versus getting details about only those customers who have updated information The ETL developers need to coordinate their work with that of IT teams who work with the source systems where data is to be extracted These other application development and support teams may be overwhelmed by their own work If so, the requests from the data warehouse team are just more work added to an already overloaded schedule

Figure C-15 shows the Repadmin tool, and Table C-14 gives you the command-line parameters and arguments.

estimated effort and lead time requirements from their manager to ensure that the appropriate resources are available

repadmin command arguments [/u:[domain\]user /pw:{password|*}]

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The term transformation represents a wide variety of functions that are performed to take the data as it is and get it ready for what you need to support the business decision-making process Some of these functions are direct and straightforward, while others can be complex and challenging There are two distinctly different sets of work to be done by developers: one to build and maintain the dimensions, and another to build and maintain the fact tables The dimensions provide the data needed to enable selection and grouping of data in many different ways Creating and maintaining the dimensions often

Commands and Arguments /u:[domain\]user Explanation Specifies an optional user (from an optional domain) as the administrator. If the user name and password are not specified, Repadmin uses the credentials of the currently logged-on user. Specifies the password of the user specified by the /u: switch. If the user name and password are not specified, Repadmin uses the credentials of the currently logged-on user. Starts a replication event for the specified naming context between the source and destination domain controllers. The source DSA UUID can be determined when viewing the replication partners with the repadmin /showreps command. Overrides the normal replication schedule. Starts the replication event, but Repadmin does not wait for the replication event to complete.

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/pw:{password|*}

Early to bed and early to rise, makes a man healthy, wealthy, and wise according to Benjamin Franklin. You have 168 hours in a week, and you re likely to spend about a third of those hours in bed. It s your choice as to how you create the quality of the remaining two-thirds of each day. Do you ever have those days when the alarm goes off, you put it on the snooze feature, it goes off again, and again, and you eventually turn it off or hide it under the pillow How does your day pan out when you get up late and head out of the door in a manic rush Just notice, though, what happens when you have a calm and relaxed start to the day, when you have got out of bed at a reasonable hour and then take things in your stride.

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/sync Naming_Context Destination_ DSA Source_DSA_UUID [/force] [/async][/full] [/addref] [/allsources]

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