BablulawrenceCognitive architectures and LLM applicationsBeyond prompt engineering and Retrieval Augmented Generation (RAG), the design of Large Language Model (LLM) applications is often ad hoc…Jan 272Jan 272
BablulawrenceFive emerging trends in Analytical Data SystemsPainless ETL, snap-in tables, CI/CD, develop and query using natural language, and Data Mesh.Nov 18, 20232Nov 18, 20232
BablulawrenceStanford's Alpaca is a Very Different AnimalAlpaca, developed by Stanford University researchers, is a fascinating development in generative AI .Mar 19, 20231Mar 19, 20231
BablulawrenceBuilding an API to Query Relational Databases Using Natural LanguageUsing Azure Functions for querying PostgreSQL tables using OpenAI’s natural language-to-SQL translationFeb 22, 20232Feb 22, 20232
BablulawrenceImplementing Data Mesh on AzureIdeas for developing technical parts of data mesh using AzureNov 19, 20221Nov 19, 20221
BablulawrenceData engineers and Distributed Analytics Data SystemsHow distributed analytical data systems like Data Mesh could impact data engineering roles and responsibilitiesApr 8, 2022Apr 8, 2022
BablulawrenceImporting Power BI data into Azure Data LakeUsing Azure Functions to copy data from a Power BI Dataset to ADLS Gen2.Jan 28, 2022Jan 28, 2022
BablulawrenceSecuring Azure Functions using “Easy Auth” and app rolesan easy and flexible approach for implementing authentication and authorization in Azure FunctionsJan 14, 20222Jan 14, 20222
BablulawrenceETL using Event NotificationIn the past few years, I had to implement couple solutions at work were ETL using a traditional batch processing approach did not work…Dec 26, 2021Dec 26, 2021
