When designing a Data Warehouse for a global enterprise, what factors should be considered for handling multi-regional data?
- Centralizing Data Storage, Overlooking Time Zone Differences, Implementing a Single Language, Ignoring Regional Compliance
- Ignoring Regional Differences, Standardizing Data Across Regions, Disregarding Time Zone Challenges, No Language Support
- Localization of Data, Time Zone Considerations, Language Support, Regional Compliance
- Randomizing Data Across Regions, Ignoring Time Zone Challenges, Using Multiple Languages, Disregarding Regional Compliance
Designing a Data Warehouse for a global enterprise requires considerations such as localization of data to accommodate regional differences, accounting for time zone variations, providing language support, and ensuring compliance with regional regulations.
Loading...
Related Quiz
- ________ in data integration refers to the trend of moving ETL processes to cloud-based platforms.
- In cloud-based data warehouses, ________ loading is crucial for managing varying data scales.
- In the future, ________ tools are likely to become more prevalent in ETL testing for efficiency and accuracy.
- How do data quality tools assist in handling duplicate data entries?
- For large datasets, ETL processes might use ________ to manage and process data efficiently.