Headless vs. native semantic layer: The architectural key to unlocking 90%+ text-to-SQL accuracy

In the meantime, the big question for data leaders is where to implement this logic. The market has split into two ...
Analytics Insight

Mastering LLM Text-to-SQL: Common Challenges and Expert Tips

Overview: Text-to-SQL simplifies queries but can misinterpret data structures and phrases.Ensuring up-to-date schema info and providing examples improves accura ...
InfoWorld

Azure HorizonDB: Microsoft goes big with PostgreSQL

It’s not surprising that developers have become increasingly dependent on the open source PostgreSQL, the nearly 30-year-old ...
GitHub

Change in schema resets the whole SQL cache database

With SQL cache enabled, Steve caches Kubernetes resources (lazily) to an internal SQLite database. On schema change (eg: CRD changed or APIService change), the SQL database is being Reset. IOW, we're ...
dbta

Migrating Oracle On-Premises to Amazon RDS for Oracle

Migrating your Oracle database to AWS Relational Database Service (RDS) can be daunting, but with the right planning and execution, it can significantly improve performance, scalability, and ...
GitHub

database-visualization

Interactive database schema documentation for Symfony. Visualize ER diagrams, track changes, collaborate with comments. Built with Vue 3 + Doctrine ORM. A C#/.NET-based tool that connects to a local ...
IEEE

Using active learning techniques for improving database schema matching methods

Abstract: The schema matching problem consists of finding semantic correspondences between elements (e.g., attributes) of two database schemas. Typically, methods to solve this problem first use ...
IEEE

Discovering Complex Semantic Matches between Database Schemas

Abstract: Schema matching, the problem of finding semantic correspondences between elements of two schemas, plays a key role in many applications, such as data warehouse, heterogeneous data sources ...