What distinguishes a data lake from a traditional data warehouse?
- Data is cleaned before storage
- Data is summarized before storage
- Use of structured data
- Use of unstructured data
A key distinction between a data lake and a traditional data warehouse is that a data lake stores raw, unstructured, and semi-structured data in its native format, while a data warehouse typically stores structured and processed data optimized for querying and analysis.
Loading...
Related Quiz
- In ETL testing, automated scripts can be reused for ________ testing.
- In complex real-time data integration, what type of testing ensures the system can handle concurrent data streams effectively?
- The use of ________ in the test environment helps to protect sensitive data during ETL testing.
- Describe how version control can be utilized for tracking and managing changes in ETL test cases for a project undergoing frequent changes.
- Implementing Caching Mechanisms in ETL can enhance performance by minimizing disk I/O operations.