Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

Many electronic devices and systems perform essential functions that must execute flawlessly over long periods of time. For example, electronic power grids, telecom systems, and implanted medical ...

The Lakebase service has been in development since June 2025 and is based on technology Databricks gained via its acquisition of PostgreSQL database provider Neon. It was further enhanced in October ...

Data plays a vital role in any successful business. Protect­ing this data is mission-critical, and it falls to database administrators (DBAs) to organize, maintain, and secure it. The most effective ...

Picture this: The year is 2030, and you’re living in a world where retailers can predict consumer behavior with uncanny accuracy, healthcare providers are diagnosing diseases before symptoms escalate ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Advanced algorithms working from large chemical databases can predict a new chemical's toxicity better than standard animal tests, suggests a new study. Advanced algorithms working from large chemical ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...