Query processing in a distributed system requires the transmission f data between computers in a network. The arrangement of data transmissions and local data processing is known as a distribution ...

We introduce the concept of network graph for distributed query processing. Semijoins and joins are termed contributive replicated semijoins and contributive replicated joins, respectively, when they ...

Query processing and optimisation are critical components of modern database systems, serving to translate high‐level declarative queries into efficient, low‐level machine instructions.

Apache Pinot is an open-source, distributed database for customer-facing, real-time analytics, ingesting data from various sources and executing queries using SQL. It is implemented in Java.

Distributed query processing: a query—or request to read large data sets—enters at a client level and is processed and optimized on the global level.

Improve query performance 4.2 times in average compared with Apache Spark SQL which is widely used parallel query processing system in both academia and industry. Can have a huge impact on large ...

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow.