Data Warehouse 面试题与答案
问题 6. What is a data mart?
A data mart is a subset of a data warehouse that is focused on a specific business function or department. It contains a smaller, more targeted set of data for a particular group of users.
Example:
A sales data mart within a larger data warehouse that provides sales-related information for the sales department.
问题 7. Explain the concept of aggregate tables in a Data Warehouse.
Aggregate tables store precomputed, summarized data to improve query performance. They contain aggregated values, such as totals or averages, to reduce the need to perform calculations during queries.
Example:
Storing monthly sales totals in an aggregate table to accelerate queries related to sales performance.
问题 8. What is a snowflake schema in Data Warehousing?
A snowflake schema is a type of dimensional modeling in which dimension tables are normalized into multiple related tables, forming a shape resembling a snowflake. It is used for reducing redundancy in the data warehouse schema.
Example:
In a snowflake schema, a dimension table like 'Region' may be normalized into sub-dimensions like 'Country' and 'City.'
问题 9. How do you optimize the performance of a Data Warehouse?
Performance optimization in a Data Warehouse involves techniques such as indexing, partitioning, aggregations, and proper data modeling. It also includes hardware considerations, query optimization, and ETL process tuning.
Example:
Creating indexes on frequently queried columns to speed up data retrieval in a large data warehouse.
问题 10. Explain the concept of data lineage in Data Warehousing.
Data lineage refers to the tracking and visualization of the flow of data from its origin through various transformations and into the data warehouse. It helps in understanding the data's path and ensuring data quality.
Example:
A data lineage diagram illustrating how customer data flows from source systems, through ETL processes, and into the data warehouse.
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