At the crux of many an enterprise-scale big data system stands either MapReduce or a parallel database management system. But which is more efficient? Researchers from Dublin Institute of Technology, ...
The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...
DGIST developed a new graph-based database partitioning method and its system implementation showed 4.2 times faster performance on average than Apacke Spark SQL DGIST developed a core technology that ...
Recent advances in graphics processing units (GPUs) have opened a new frontier in query processing and database systems. Leveraging the massively parallel architecture of GPUs, modern database engines ...
MariaDB, originally best known as a fork of the open source MySQL database, has been gradually adding new features and architectural changes that have helped it establish its own identity and typecast ...
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