A comparison of AWS, Google Cloud, and Azure for data platforms — from storage and processing to analytics, governance, and MLOps. How each shapes architecture, operations, and long-term flexibility.

Apache Spark architecture explained through real-world mechanics: job stages, partitions, shuffle behavior, memory usage, structured streaming, deployment models, and performance tuning strategies in production.