RPRajagopal ParthaSarathiinrparthas.hashnode.dev路Jan 26 路 11 min readHow to Use LLMs as a Weekly Review Partner1. Introduction I used to dread weekly reviews. You know the drill: staring at a blank template, trying to remember if Monday鈥檚 fire drill happened this week or last, and forcing "insights" that felt more like generic platitudes than actual growth. E...00
RPRajagopal ParthaSarathiinrparthas.hashnode.dev路Apr 14, 2025 路 6 min readHandling Data Redaction in Delta Live Tables for Reliable Data Pipelines 馃敀In today's rapidly evolving digital landscape, data security and compliance have become paramount. Delta Live Tables (DLT) is a powerful framework primarily used for data ingestion and transformation within the Databricks ecosystem. This article expl...00
RPRajagopal ParthaSarathiinrparthas.hashnode.dev路Apr 8, 2023 路 4 min readEvolution of data platform - Part 3This is part 3 of the series Evolution of the data platform. I would recommend reading parts 1 & 2 before this post. Ajar and the team established a good platform for analytics use cases. The final pa00
RPRajagopal ParthaSarathiinrparthas.hashnode.dev路Dec 17, 2022 路 4 min readData Insights with MindsDBRecently I was discussing with a colleague that SQL is a pervasive part of a data stack. Their counterargument was SQL has not yet penetrated the ML world. While I was researching that idea, I encountered MindsDB, an AutoML platform that integrates S...00
RPRajagopal ParthaSarathiinrparthas.hashnode.dev路Jul 7, 2022 路 8 min readEvolution of data platform - Part 2This is part 2 of the series Evolution of data platform. I would recommend reading part 1 before this post Performance is a long game Ajar and team were basking in the success of this architecture. 00
