One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

Abstract: Designing an efficient and secure collaborative SQL analysis system that supports large-scale dataset inputs is a very challenging task. In this paper, we present FedQuery, an MPC-based ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even though we probably won't. For all its popularity and success, SQL is a ...

When working with SQL, combining data from multiple tables or queries is routine. But to do it correctly, you need to follow a set of rules that govern how JOINS and SET operations behave. This guide ...

In real-world data projects, it's common to deal with multiple tables. Whether you're analyzing customers, orders, employees, or products, combining tables becomes essential. SQL provides two core ...

SQL-Mongo Converter is a lightweight Python library for converting SQL queries into MongoDB query dictionaries and converting MongoDB query dictionaries into SQL statements. It is designed for ...

Abstract: Privacy-preserving collaborative data analysis is a popular research direction in recent years. Among all such analysis tasks, privacy-preserving SQL ...

Part of the SQL Server 2022 blog series. Time series data is a set of values organized in the order in which they occur and arrive for processing. Unlike transactional data in SQL Server, which is not ...

Need some hands-on SQL experience before starting full-time at your first data analyst job? Don’t know where to start? You’d be pleasantly surprised to know that there are not one but five different ...

Advanced Google search operators can deliver powerful insights to inform your content strategy, SEO audits, and more. Use this for quick reference. If you’re interested in search, the most critical ...