querying
4 stories filed under querying on Beyond Market Intelligence. The newest of them: “Explore how recursive CTEs simplify graph traversal in SQL.”, “Discover how to surface your most played decks from scattered date columns”, and “Empower Business Users to Explore Data Without Writing SQL”. Most of us treat SQL as a tool for flat tables, but recursive CTEs unlock something far more interesting: the ability to traverse relationships directly in your database. Tracking down your most recently played decks across multiple date columns is a challenge Excel can handle, but it requires a smarter approach than a simple formula. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every querying story on Beyond Market Intelligence, newest first.
Explore how recursive CTEs simplify graph traversal in SQL.
Most of us treat SQL as a tool for flat tables, but recursive CTEs unlock something far more interesting: the ability to traverse relationships directly in your database. This guide shows how to navigate hierarchies, detect cycles, and even calculate degrees of separation without leaving SQL. It's a practical, empowering look at a hidden capability. If you're ready to move beyond simple queries, this is your entry point.
Discover how to surface your most played decks from scattered date columns
Tracking down your most recently played decks across multiple date columns is a challenge Excel can handle, but it requires a smarter approach than a simple formula. You are essentially asking Excel to scan every date column, rank them, and map the top ten to their respective decks. That is doable with a combination of `MAX`, `INDEX`, and `SORT` functions, or a pivot table if you restructure your data. It is a bit of a puzzle, but a rewarding one.
Empower Business Users to Explore Data Without Writing SQL
Most business questions don't need a SQL query, they need a direct answer. This step-by-step guide shows how to build an AI data agent that lets users explore data conversationally, skipping the syntax entirely. It's a practical, human-centered approach to analytics that puts the focus on insight, not commands. If you're curious about the broader implications of talking to AI, "Talking to My AI Clone Taught Me to Question the Tech" offers a thoughtful counterpoint.
Give your AI agents a single source of truth for business data
Pinecone's Nexus Engine is now generally available, and it's a practical answer to a messy problem: enterprise data that sits scattered and unstructured. Nexus compiles that business context into a queryable layer, so AI agents stop guessing and start working from curated knowledge. Teams ingest once, then reuse that context across agents, cutting token costs while boosting accuracy. That's a meaningful step toward tools that actually understand the work. For more on where this tech leads, our guide to distributed training offers useful context.