About BIRD, SQL, IBM granite models, and your business reporting
Updated: 2024-07-16 15:10:00
: , , , Data Henrik Henrik's thoughts on life in IT , data and information management , cloud computing , cognitive computing , covering IBM Db2, IBM Cloud , Watson , Amazon Web Services , Microsoft Azure and . more Pages Home Db2 pureXML Resources Acronyms dashDB resources Books and Papers on DB2 Friedrichshafen Bodensee Tuesday , July 16, 2024 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
: : , , Data Henrik Henrik's thoughts on life in IT , data and information management , cloud computing , cognitive computing , covering IBM Db2, IBM Cloud , Watson , Amazon Web Services , Microsoft Azure and . more Pages Home Db2 pureXML Resources Acronyms dashDB resources Books and Papers on DB2 Friedrichshafen Bodensee Monday , July 1, 2024 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