Scenario: You're leading a data modeling project for a large retail company. How would you prioritize data elements during the modeling process?
- Based on business requirements and criticality
- Based on data availability and volume
- Based on ease of implementation and cost
- Based on personal preference
During a data modeling project, prioritizing data elements should be based on business requirements and their criticality to ensure that the model accurately reflects the needs of the organization and supports decision-making processes effectively.
Loading...
Related Quiz
- In normalization, what does it mean when we say a database is in "third normal form"?
- What are data quality metrics used for?
- How can parallel processing be utilized in ETL optimization?
- Scenario: Your company is merging data from multiple sources into a single database. How would you approach data cleansing to ensure consistency and accuracy across all datasets?
- Apache Spark leverages a distributed storage system called ________ for fault-tolerant storage of RDDs.