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- Data Quality: Insights from data can be trusted only if the data powering them is trusted. Comprehensive data governance capabilities are required to assure data quality and reliability.
- Scaling: By definition, big data volume is enormous and growing by the minute. The architecture must support the scaling needs to ensure consistent performance.
- Security: The architecture must support the needs of protecting sensitive data and compliance with data privacy regulations.