SQL remains the foundation for turning raw records into reports and business insights across industriesCore queries like ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

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 ...

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This project aims to design a join sampling framework that enables very fast approximate queries in open-source database systems. Project is Not Currently Available This project has reached full ...

TIOBE Index for December 2025: R Joins the Top 10 as SQL Climbs Your email has been sent December’s TIOBE Index closes the year with a steady upper tier and a few late surprises in the lower ranks.

Enterprise and developers can now view Hedera’s full transaction history on Google BigQuery. They can track NFTs, DeFi trends, and tokenized assets across multiple platforms. HBAR price gained nearly ...

When querying a bi-directional relationship / join field with multiple conditions, Payload generates multiple SQL LEFT JOINs for the same table. This causes performance issues for large datasets. We ...

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 ...

Data optimization startup Qbeast Analytics Inc. says it’s going to help organizations eliminate the “hidden tax” of big data lakehouse frameworks like Delta Lake after raising $7.6 million in seed ...

What is the default strategy for planning and optimizing queries with joins: How does the engine decide the physical join type (e.g., sort-merge join vs. hash join)? How is the join order determined?