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/ -- ...

Principal Architect Sandeep Patil’s landmark research charts a new course for cloud-native data warehousing — from serverless ...

Your customers are asking ChatGPT for recommendations. Meanwhile, you're still obsessing over Google rankings. That's the new reality. AI search is eating into traditional search traffic, and most ...

Google Cloud has recently announced the preview of a global queries feature for BigQuery. The new option lets developers run SQL queries across data stored in different geographic regions without ...

Overview: SQL developers manage structured databases that power payments, healthcare, retail, and cloud systems.Cloud platforms increase demand for SQL skills, ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

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 ...

Abstract: SQL query optimization aims to choose an optimal Query Execution Plan (QEP) for a query. The existing optimizers usually choose the plan with the minimal execution cost. However, in some ...

Existing index tuners typically rely on the “what if” API provided by the query optimizer to estimate the execution cost of a query on top of an index configuration. Such cost estimates can be ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...