The migration process can vary depending on many variables, including politics, technical infrastructure, and the ETL toolset. In general, the ETL team is usually part of the development side of things and should avoid the distractions associated with providing first-level production support for the data warehouse, unless your organization is large enough to warrant a dedicated production-support ETL team.
For the purpose, assume that the ETL team exists only in development and hands its work over to a production-support team when the jobs are ready for production. Again, these processes can vary depending on your organizational structure and the tools employed in your environment. This section should be used as a guide to the finishing touches of the ETL lifecycle.
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Data Warehouse ETL Toolkit Related Tutorials |
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Informatica Tutorial | Data Warehousing Tutorial |
Networking Tutorial | Hadoop Tutorial |
Apache Flume Tutorial |
Data Warehouse ETL Toolkit Related Interview Questions |
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Informatica Interview Questions | Data Warehousing Interview Questions |
Networking Interview Questions | System Administration Interview Questions |
Hadoop Interview Questions | MYSQL DBA Interview Questions |
Data modeling Interview Questions | Hadoop Administration Interview Questions |
Apache Flume Interview Questions | Informatica Admin Interview Questions |
Data Warehouse ETL Toolkit Related Practice Tests |
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Informatica Practice Tests | Data Warehousing Practice Tests |
Networking Practice Tests | System Administration Practice Tests |
Hadoop Practice Tests | MYSQL DBA Practice Tests |
Hadoop Administration Practice Tests |
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