Query Processing: The suite of methods and algorithms used to evaluate and execute database queries efficiently.

Not so with DBAs! In SQL Server 2017, when the query optimizer encounters code with a multi-statement TVF, the query optimizer will pause optimization, execute the TVF subtree to get a very accurate ...

The database-learning framework seeks to reduce the time and power wasted on repetitive database tasks, updating the compute-intensive paradigm underpinning current database technology. Explained ...

The expanding volume and complexity of modern datasets have necessitated innovative approaches to data query processing and visualisation. Contemporary methods must efficiently extract actionable ...

DuckDB is an open-source OLAP database for analytical data management that operates as an in-process database, avoiding data transfer overhead. Leveraging vectorized query processing and Morsel ...

Natural language queries made to the database are routed through ChatGPT's API to produce a SQL query syntax that can be run to generate results, Kinetica says.

With POLAR, the research group introduces an adaptive query processing technique that lowers the adoption barrier for existing database systems while decreasing the risk of performance cliffs from ...

Key Takeaways Columnar databases help with Online Analytical Processing (OLAP) workloads since the queries touch across a subset of columns but a large number of rows for those columns. Columnar ...

Online analytical processing databases speed up the multi-dimensional queries common in business intelligence applications.

With its ability to convert natural language questions into SQL queries, the addition of ChatGPT to the high-performance, real-time Kinetica database makes it possible for business users to obtain ...