Modern big data operations rely on cloud platforms for elastic storage, serverless resources, and autoscaling compute. Organizations scale seamlessly while avoiding over-provisioning and upfront infrastructure costs.
Enterprises embrace hybrid/multi-cloud architectures to balance data sovereignty, cost, and performance. Storage and compute can shift between edge, private cloud, and public cloud as needed.
IoT sensors, user logs, financial streams require real-time analytics. Using tools like event streaming, in-memory processing, and cloud analytics services enables low latency decision-making.
Data lakehouses, columnar storage, open table formats, data fabric/mesh, and reproducible pipelines are rising. Emphasis on governance, cross-cloud portability, and secure scalability.