Cloud Data Warehouses (Snowflake, BigQuery, Redshift)
Picking and running the modern warehouse that fits your workload.
Lakehouse Platforms (Databricks & Friends)
Where the lake and the warehouse stopped being separate buildings.
Cloud Cost Optimization & FinOps
Keeping the bill honest as AI workloads scale up usage.
Serverless Data Architecture
Paying for compute only when data is actually moving.
Multi-Cloud & Hybrid Strategies
Avoiding lock-in without creating three times the complexity.
Cloud Security & IAM for Data
Who — and what agent — is allowed to touch which data.
Infrastructure as Code for Data Platforms
Treating the data platform itself like software.
Data Platform Migration Strategies
Moving house without losing the furniture.
Containers & Kubernetes for Data Workloads
Packaging data jobs so they run the same everywhere.
Cloud-Native Streaming Services
Managed pipes for data that never stops flowing.
Comparing Managed AI/ML Services
A practical, vendor-neutral look at what the major clouds offer.