Kimball Audit Dimension at Austin Oles blog

Kimball Audit Dimension. With the grain of a fact table firmly in mind, all the possible dimensions can be We give you a brief overview of ralph kimball's ideas on dimensional data modeling, and walk you through a framework for applying them in the modern age. This metadata is available to bi applications for visibility into data quality. I look at the kimball audit dimension as primarily performing an audit function, not logging. Simply put, the audit dimension elevates metadata to the status of ordinary data and makes this metadata available at the top level of any bi tool user interface. It offers a much more convenient way to. Dimension tables contain the descriptive attributes used by bi applications for filtering and grouping the facts. The secret to building a successful audit dimension is to keep it simple and not get too idealistic in the beginning. When a fact table row is created in the etl back room, it is helpful to create an audit dimension containing the etl processing. In the kimball's & caserta book named the data warehouse etl toolkit, on page 128 talks about the audit dimension.

With the grain of a fact table firmly in mind, all the possible dimensions can be Dimension tables contain the descriptive attributes used by bi applications for filtering and grouping the facts. It offers a much more convenient way to. The secret to building a successful audit dimension is to keep it simple and not get too idealistic in the beginning. I look at the kimball audit dimension as primarily performing an audit function, not logging. Simply put, the audit dimension elevates metadata to the status of ordinary data and makes this metadata available at the top level of any bi tool user interface. This metadata is available to bi applications for visibility into data quality. In the kimball's & caserta book named the data warehouse etl toolkit, on page 128 talks about the audit dimension. When a fact table row is created in the etl back room, it is helpful to create an audit dimension containing the etl processing. We give you a brief overview of ralph kimball's ideas on dimensional data modeling, and walk you through a framework for applying them in the modern age.

Kimball Dimension Types at Amanda Stpeter blog

Kimball Audit Dimension This metadata is available to bi applications for visibility into data quality. I look at the kimball audit dimension as primarily performing an audit function, not logging. The secret to building a successful audit dimension is to keep it simple and not get too idealistic in the beginning. It offers a much more convenient way to. When a fact table row is created in the etl back room, it is helpful to create an audit dimension containing the etl processing. Simply put, the audit dimension elevates metadata to the status of ordinary data and makes this metadata available at the top level of any bi tool user interface. We give you a brief overview of ralph kimball's ideas on dimensional data modeling, and walk you through a framework for applying them in the modern age. In the kimball's & caserta book named the data warehouse etl toolkit, on page 128 talks about the audit dimension. With the grain of a fact table firmly in mind, all the possible dimensions can be This metadata is available to bi applications for visibility into data quality. Dimension tables contain the descriptive attributes used by bi applications for filtering and grouping the facts.