1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...

A security researcher uncovered an exposed online database that was stockpiling user information likely collected via malware ...

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

I am a Backend Developer and Software Engineer with a solid background in Artificial Intelligence in academic and professional fields, looking forwa ...

Abstract: Generating accurate SQL from users' natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

Introduce extended MCP commands that allow users to specify which schemas to include from a database at runtime, enabling more precise and efficient metadata ingestion for LLM workflows. Problem ...

In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is ...

Schema markup is a powerful tool for boosting your website’s SEO, yet many site owners overlook its potential. This comprehensive guide offers practical, real-world examples of how to effectively ...

Data are a crucial asset for organizations, making it essential for database designers to effectively organize and manage data using DataBase Management Systems (DBMS). DataBase design Concepts (DBCs) ...

Agentic AI requires a whole new type of architecture; traditional workflows create serious gridlock, dragging down speed and performance. Databricks is signaling its intent to get ahead in this next ...