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Data has always been the lifeblood of enterprise decision-making. But for decades, getting that data to the right person, at the right time, in the right format has been a costly, fragile, and frustra
A practical, friendly guide to User-Orchestrated vs LLM-Orchestrated agent workflows Agents are a bit like actors on a stage. Somebody — or something — has to call “Action!”, cue the right lines, and decide when the show ends. In modern AI architectu...
A hands-on comparison of Graph RAG and Vector RAG, their trade-offs, and the power of hybrid approaches.
Nine years ago, my amazing former boss and mentor Ajith Kumar, asked me to do an impact analysis on replacing ActiveMQ with Kafka in our integration layer. It was part of a broader product overhaul. We took the plunge and adopted Kafka across the sta...
The WAP Pattern: Ditching Hive's Headaches for Iceberg's Easy Branches
Remember when 'big data' just meant patiently waiting for yesterday's sales figures to show up on your desk? Ah, the good old days of batch processing! With the advent of real-time data, data processing architectures also evolved. Our apps are real-t...
