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Kimball Architecture
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What is the main focus of Ralph Kimball's approach to Data Warehousing?
The purpose of a Data Warehouse is a copy of transaction data specifically structured for query and analysis.
What does Kimball's approach to Data Warehousing emphasize in terms of understanding?
Understand and document the business processes, business needs, and business questions being asked.
What are the steps in Kimball's ETL process?
Build ETL pipelines that extract, transform, and load data into a denormalized data model.
What types of schemas are used in a dimensional model according to Kimball?
The dimensional model is built as a star schema or a snowflake schema.
Where is the dimensional model usually built?
The dimensional model is usually built around and within dimensional data marts for specific departments.
List one advantage of Kimball's Dimensional Modelling approach.
Simplicity - The architecture is much simpler and faster to design and set up.
Why is Kimball's Dimensional Modelling approach considered understandable?
It is easy to understand and gears answer organization needs.
What is a skills-related advantage of Kimball's approach?
Requires a less number of highly skilled engineers and less technical knowledge.
What is a disadvantage related to data in Kimball's approach?
Data Redundancy - Because data is loaded into a dimensional model, it is not normalized.
What does Kimball's approach say about a single source of truth?
There is no Single Source of Truth; the warehouse is designed and organized around data marts.
What is a disadvantage of Kimball's Dimensional Modelling approach related to flexibility?
It is Less Flexible and Incomplete due to the as-needed paradigm and is specific to needs.
Scholarly Assistant's Insights
Explore Kimball's effective Data Warehousing methods, focusing on simplicity and dimensional modeling.
Data Warehousing
Dimensional Modeling
Etl Processes
Business Intelligence
Data Architecture
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