Articles from the BIART team on data management, business intelligence, cloud and banking technologies.
Last updated:
Technical Deep DiveWhen the central data team becomes the bottleneck, Data Mesh offers a way out through domain ownership and federated governance. Which organisations benefit, and which traps to watch.
Big DataWith Snowflake, AWS and Databricks all backing it, Iceberg has become the de-facto standard for open table formats. End of vendor lock-in or new complexity?
AI & Machine LearningRetrieval Augmented Generation grounds the LLM in the organisation's own knowledge base, reducing hallucination and giving every answer a traceable source. The three layers of a well-built RAG system.
AI & Machine LearningLarge language models moved from demo to production in a year. Three practical patterns for integrating them into enterprise systems, with the risk mitigations that matter.
Big DataApache Kafka, the backbone of event-driven architectures, fundamentally changes the link between operational systems and the analytical layer — when it is set up right.
Cloud ArchitectureRunaway cloud bills are the reality every organisation eventually faces. FinOps is the discipline that keeps cost and value in sustainable balance.
Big DataLake and warehouse still serve different needs. The lakehouse converges them — but the decision matrix matters more than ever.
Technical Deep DiveKimball's classic debate is still meaningful today: star versus snowflake schema and what actually changes in the cloud era.
Business IntelligenceSelf-service BI accelerates business units but creates chaos without governance. The three foundations a well-built self-service layer rests on.
AI & Machine LearningA model that shows 92% accuracy in a notebook delivers no enterprise value until it is in production. MLOps is the discipline that maps the road from training to sustained operations.
Banking & FinanceHow do you safely use production data in test environments? Static masking, dynamic masking, pseudonymization and synthetic data compared with recommendations for each scenario.
Business Intelligence