Data Science

Early data architecture choices determine how well systems scale and how much they cost to run. Selecting the right storage models, processing frameworks, and integration patterns prevents bottlenecks and expensive rework later. Thoughtful design around data volume, access patterns, and governance ensures performance, reliability, and predictable spending as demand grows.