Global IT spending has crossed the multitrillion-dollar mark, with AI infrastructure representing one of the fastest-growing ...

Yuki is a real-time data cost optimization platform that routes BigQuery and Snowflake queries to the most efficient compute in real time, with no code changes. Yuki runs privately in your cloud ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

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/ -- ...

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Abstract: DataFrame libraries are widely adopted in data science for their flexible, Pythonic interfaces, but their fragmented APIs and unstructured query patterns limit systematic optimization.

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 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 ...

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 ...

The SQL optimizer incorrectly alters the logic of a query that uses CTEs and nested JOIN operations. WITH `res` AS ( SELECT `t2`.`id`, CAST(IF(NOT `t3`.`id` IS NULL, 1, 0) AS BIGINT) AS `id_active`, ...