Monday

We discuss and demonstrate the capabilities of a new science platform for working with Gaia data. This platform enables large-scale analysis of the current Gaia catalogue, and will scale to the much larger data volumes anticipated at DR3+. The service complements functionality provided by exsiting services, such as those employing TAP/ADQL and relational database systems, by providing a distributed processing architecture based on Apache Spark. We will show two example workflows: a simple whole-sky statistical summary of selected catalogue columns; and a more complex example from the Gaia EDR3 Catalogue of Nearby Stars study that employs Machine Learning techniques.