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DATA TECH ANALYTICS
Tool Use: The Concept Behind Every new AI feature in 2026
Agents, MCP, skills. The AI landscape releases new concepts faster than ever. But they all share a common foundation. That foundation is tool use: the mechanism that lets a language model reach outside its training data and interact with real systems. This article breaks down how tool use actually works, walks through a concrete Python implementation using the Anthropic API and live market data, and draws out what the pattern means for product and system design. No frameworks, no abstractions. Just the raw mechanism and what you can build with it.
Distribution and Sort Keys in Amazon Redshift: A Guide to Faster Queries
Amazon Redshift is a powerful data warehousing solution, but achieving optimal performance requires a deep understanding of its architecture and key features.
In this article, we’ll take a look under the hood of Amazon Redshift and explore one of its key performance drivers: sort keys and distribution keys.
7 ways to level up your SQL queries
As data professionals, we spend countless hours writing, debugging, and optimizing SQL queries. Whether you're crafting dashboards, building pipelines, or simply digging into data, your SQL code can often mean the difference between an insightful analysis and an unreadable mess.
In this post, I’ll share seven tips to elevate your SQL skills and help you write queries that are not only efficient but also easy to revisit without giving you a headache.