What You Actually Need to Know About LLMs Before the Next Interview
“All models are wrong, but some are useful.”George Box A short note before the piece. Starting next week, this…
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From Data Engineer to AI Engineer: The Real Path
“The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn,…
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Data Engineering Is Not Dying. But Management Is Doing Its Best to Kill It.
Companies are laying off experienced architects and doubling down on offshore coding teams — at the exact moment AI is…
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RAG Does Not Fail Because of the Model. It Fails Because of the Data.
Every enterprise AI strategy deck I have seen in the past years contains the same promise: “We will build a RAG-based…
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Why Z-Ordering Fails on Skewed Data — and Liquid Clustering Does Not
Z-ordering and Liquid Clustering both aim to improve Databricks query performance through data skipping. But when your…
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Stop Comparing Teradata, Snowflake, and Databricks. Start Asking These Questions Instead.
A vendor-neutral look at the architectural trade-offs that actually matter I have spent over 20 years building and…
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Microsoft Fabric vs. Databricks: What Enterprise Teams Actually Need to Know
When Microsoft launched Fabric, it promised to unify analytics under one roof. Databricks, meanwhile, has been…
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You Migrated From Teradata to Spark and Threw Away the One Thing That Made It Fast
If you have spent any amount of time working with Teradata, you know that the Primary Index is one of the most important…
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