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 ...

Driven by the rapid hardware development of parallel CPU/GPU architectures, the authors have witnessed emerging relational query processing techniques and implementations on those parallel ...

Citus Data has launched CitusDB for Hadoop, a service that can process petabytes of data within seconds. The offering shows once again that the new class of analytics databases that can analyze ...

Query processing and optimisation form the backbone of relational database management, transforming high‐level declarative requests into efficient execution strategies. The pipeline begins with ...

In-memory databases are all the rage for very fast query processing, but you have to have the right balance of compute and memory for queries against in-memory databases to really scream. Sometimes, a ...