New AI capabilities help DBAs move from performance visibility to performance resolution--turning slow queries into actionable index recommendations in minutes HOUSTON, March 19, 2026 /PRNewswire/ -- ...

Opsera, the leader in Agentic DevOps, today announced the launch of Opsera AI Agents for DevSecOps, a suite of intelligent, purpose-built agents designed to help enterprises transition from ...

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Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...

The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

Comprehensive repository offering official resources, detailed guides, and reference materials for Valentina Studio Pro on Windows PCs. Ideal for users seeking expert insights, setup instructions, and ...

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

If I remove the OR condition inside the parhentesis works. My first thought is to debug the execution and at a certain point the query is "flatten". Not sure why, maybe for index optimization? In the ...