About BIRD, SQL, IBM granite models, and your business reporting

BIRD-SQL benchmark

Some years ago, when composing SQL queries, I was hoping that those queries would just "fly", performing flawlessly and quickly. Now, I stumbled over something SQL-related that seems to fly: BIRD-bench. It measures Large Language Models' (LLMs) capabilities to generate SQL queries from text input. It is at the core of SQL: You describe the result set you need.

Lakehouse: Bronze, silver, and gold levels of data

Is this a Data Lakehouse?

While working with customers and IBMers on data processing projects (to keep it as broad as possible), I often hear the talk about bronze, silver, and gold standards. These standards sometimes refer to the systems the data is stored in in terms of reliability, availability, performance, bandwith, and more. The IBM mainframe in a geographically dispersed parallel sysplex configuration may be considered such a gold standard. Lately, bronze / silver /gold standards are more frequently heard in the context of Data Lakehouse architectures and data sources or data zones. So, what is bronze, silver, and gold when discussing data and data lakehouse?