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

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 ...

Query Processing: The method by which database systems interpret and execute data retrieval requests, optimising for speed and efficiency.

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 ...

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

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 ...

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.