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be documented prior to starting to build the ETL system Others sketch a quick high-level data ow on a napkin and then start building There must be some balance here It is impossible to track down every little detail that may be discovered in the data prior to starting work on the ETL system However, it is important to create speci cations de ning how the ETL system will work These are developed using the results from the requirements, including data element de nitions, data mapping, and insight from source data analysis This is even more critical if the construction work is to be done by third-party developers Part of the overall design should also address functionality to keep the ETL system itself running, including an audit trail and backup/recovery capabilities 3 ETL system construction: This is the actual development of the system itself, which may include writing programs or using technology to perform the work This work can be divided up among different people or even different teams Using the cohesive design, each team can work on its part There may be some dependencies between the teams, but much of the work can be done at the same time 4 ETL system testing: Because there are typically different people working on different parts of the system, it is important to conduct thorough and complete testing of the entire system This also provides the opportunity to identify any bottlenecks and improve the system s performance In order to prepare for testing, a series of test cases need to be developed to provide realistic conditions to determine whether the system is working properly These test cases must represent actual business situations and need to be de ned by representatives from the business community As discussed so far in this book, many of the facets of building a data warehouse are different from other traditional systems design and development The creation of the ETL system itself is the most like any other systems development effort The organization must apply its systems development methods to create a robust ETL system This is not the time to abandon discipline and simply move data quickly.

Command Parameters QUERY /D:domain [/S:Server] [/Ud:User /Pd:{Password | *}] [/Verify] [/Reset] [/Direct] {WORKSTATION | SERVER | DC | OU | PDC | FSMO | TRUST} TIME computer /D:domain [/Ud:User / Pd:{Password | *}] [/Uo:User /Po: {Password | *}] [/Verify] [/Reset] [WORKSTATION] [SERVER] TRUST trusting_domain_name / D:trusted_domain_name [/Ud:User] [/Pd:{Password | *}] [Uo:User] [/Po:{Password | *}] [/Verify] [/Reset] [/PasswordT:new_realm_trust_password] [/Add] [/Remove [/Force]] [/Twoway] [/Kerberos] [/Transitive[:{yes | no}]]

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What exactly does this ETL system need to do The system will provide several common functions While the concepts are consistent across the marketplace, the speci cs are unique to each individual organization and its own source systems The following sections describe the functionality and ow of an ETL system to directly populate dimensional data structures, called presentation

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Repadmin.exe is a command-line replication diagnostics tool that enables you to examine and troubleshoot replication problems between domain controllers in the Active Directory. You can use Repadmin to examine each domain controller in order to see the replication topology from that domain controller s viewpoint. The Knowledge Consistency Checker (KCC) generates and maintains the replication topology within a site, but you can use Repadmin to manually make changes to the topology. This feature, however, should not be necessary under normal circumstances. The best use of this tool is the monitoring of replication between servers or between servers connected with unreliable WAN connections.

servers or data marts Additional steps would be needed to populate a normalized data warehouse, but most of the functionality would be similar Let s look at several of these common functions

You do not need to manually manipulate an Active Directory site s replication topology under normal circumstances, and incorrectly doing so may cause replication problems or failure. See 13 for more information about how the KCC functions in the Active Directory.

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