Standardisation has become imperative to retaining order and development in modern
society. The simplest actions, such as train timings and the width of the railroad, would be …

ABSTRACT Just-in-time (JIT) query compilation is a technique to improve analytical query
performance in database management systems (DBMSs). But the cost of compiling each …

Modern database management systems employ sophisticated query optimization
techniques that enable the generation of efficient plans for queries over very large data sets …

Language-integrated query (LINQ) frameworks offer a convenient programming abstraction
for processing in-memory collections of data, allowing developers to concisely express …

Abstract Language-integrated query (LINQ) frameworks offer a convenient programming
abstraction for processing in-memory collections of data, allowing developers to concisely …

Structured Query Language (SQL) queries are ubiquitous in modern software engineering.
These queries can be costly when run on large databases with many entries and tables to …

Continuous applications such as device monitoring and anomaly detection often require real-
time aggregated statistics over unbounded data streams. While existing stream processing …

Presto is one of the most popular OLAP (Online Analytical Processing) query engines. A
Presto cluster consists of multiple worker nodes that execute tasks. As of today, Presto's …

Big-data systems have gained significant momentum, and Apache Spark is becoming a de-
facto standard for modern data analytics. Spark relies on code generation to optimize the …

Every day we rely on large distributed software services for communication, information,
commerce, entertainment, and many other personal and business use cases. These …