How can organizations design scalable data architectures that balance performance, cost-efficiency, and data governance requirements?
What role do emerging technologies like data lakehouses, real-time streaming, and modular architectures play in achieving scalability?
How can centralized governance frameworks adapt to support decentralized, self-service analytics environments without compromising security or consistency?
What strategies can be used to ensure data quality and trust as scalable architectures integrate diverse data sources and formats (e.g., structured, unstructured, real-time)?
How can organizations implement effective data lineage and metadata management practices in complex, distributed architectures to support both scalability and governance needs?