Analytics Design & Architecture in the AI Era
A 10-article series on how AI is reshaping analytics design and architecture — moving teams from rigid, human-curated data stacks toward connected, intelligent 'fabrics' where AI agents query, enrich, and act alongside human analysts. Written as a learning resource for analytics professionals at every level, from beginners to senior architects.
Data Pipelines & ETL/ELT
Moving from batch scripts to AI-aware pipelines that clean, enrich, and route data continuously.
Data Quality & Observability
Catching bad data before it poisons a model, dashboard, or an autonomous agent's decision.
Data Warehousing & Lakehouses
The evolving home for structured and unstructured data, and how AI queries it directly.
More Topics Coming to This Category
- Data Fabric & Data Mesh
- Streaming & Real-Time Data
- Data Contracts & Schema Design
- Orchestration & Workflow Tools
- Semantic Layers & Metrics Stores
- Context Engineering for AI Agents
- Data Platform Cost & FinOps
- Batch vs. Event-Driven Architecture