Query processing and user interaction form the cornerstone of modern database systems, providing the framework for translating high‐level user queries into efficient, actionable operations.

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 ...

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 ...

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 ...

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 ...

Blockchain can be inefficient in terms of data processing and query performance. Source: MDPI Another reason data queries are inefficient is the linear storage of data in blockchain networks.

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

This article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), when stream processing makes sense, and what technologies and ...