Why AI requires rethinking the storage-compute divide

For more than a decade, cloud architectures have been built around a deliberate separation of storage and compute. Under this model, storage became a place to simply hold data while intelligence lived entirely in the compute tier. This design worked well for traditional analytics jobs operating on structured, table-based data. These workloads are predictable, often…

Read More

Cloud architects earn the highest salaries

I’ve watched cloud careers rise and fall with each new wave of tools, from the early “lift-and-shift everything” days to today’s platform engineering, AI-ready data estates, and security-by-default mandates. Through all of it, the role that stays stubbornly in demand is the cloud architect because the hardest part of cloud has never been spinning up…

Read More

Buyer’s guide: Comparing the leading cloud data platforms

Choosing the right data platform is critical for the modern enterprise. These platforms not only store and protect enterprise data, but also serve as analytics engines that source insights for pivotal decision-making. There are many offerings on the market, and they continue to evolve with the advent of AI. However, five prominent players — Databricks,…

Read More