Untangling Data Architecture: CDM vs. Ontology vs. Knowledge Graph In modern data discussions, terms like Canonical Data Model (CDM), Ontology,…
Why Coding Agents Can’t Validate Their Own Output (And How to Fix the 80/20 Inversion) A passing unit test does…
Reference: Adapted and expanded fromThe 12 Data Architecture Patterns Every Data Engineer Should Master. The Data Lake vs Warehouse debate…
Despite dramatic drops in raw inference costs—with GPT-3.5-level token prices plummeting from $20 per million to under $0.07—enterprise AI spending…
In enterprise AI, a major engineering challenge is bridging the gap between existing backend systems and the fast-growing ecosystem of…
If you build a Data Lake or Lakehouse in Azure, or in AWS, and you choose ‘Delta Lake’ or the…
For heterogenous data sources and compute. An abstraction and middleware for data and formats.
Case study example This is a difficult architecture to realise, but there are some firms which are pursuing this. In…
1. AWS Equivalents for Azure Functions and Logic Apps 2. AWS Equivalents for Microsoft’s Power Platform The Microsoft Power Platform…
AWS Glue and Databricks Unity Catalog are both data management tools, but they have some key differences in focus and…