Scenario: Your team is tasked with optimizing query performance in a reporting database. Discuss whether you would consider denormalization as part of your optimization strategy and justify your answer.
- No, denormalization can compromise data integrity and increase the risk of anomalies
- No, denormalization can lead to data redundancy and inconsistency, making maintenance challenging
- Yes, denormalization can enhance data aggregation capabilities and streamline complex reporting queries
- Yes, denormalization can improve query performance by reducing the number of joins and simplifying data retrieval
In optimizing query performance for a reporting database, denormalization can be considered as it reduces the need for joins, simplifies data retrieval, and enhances data aggregation capabilities. However, it's crucial to weigh the performance benefits against the potential risks to data integrity and consistency.
Loading...
Related Quiz
- ________ refers to the property where performing the same action multiple times yields the same result as performing it once.
- What is the primary objective of data extraction in the context of data engineering?
- What is shuffle in Apache Spark, and why is it an expensive operation?
- How does indexing impact write operations (e.g., INSERT, UPDATE) in a database?
- In Kafka, the ________ is responsible for storing the committed offsets of the consumers.