Author: Ippokratis Pandis (Amazon Web Service)

Amazon Redshift is Amazon's Amazon's petabyte-scale data warehouse service. Over the recent years, Amazon Redshift has gone through a major rearchitecture, while remaining the most popular and highest performing cloud data warehouse service. One of the major elements of this rearchitecture has been the substantial use of machine learning in multiple areas of the service, with the culmination of the autonomics efforts being the introduction of Amazon Redshift Serverless offering. This talk presents the basic elements of Amazon Redshift's rearchitecture and then focuses on the different ways where machine learning is being used in Redshift to improve its operational health, efficiency, performance and cost. We close with the presentation of Amazon Redshift Serverless and its intelligent compute management layer.

Maximilian Rieger (Technische Universität München); Moritz Sichert (Technische Universität München); Thomas Neumann (Technische Universität München)

Johannes Wehrstein (TU Darmstadt); Benjamin Hilprecht (TU Darmstadt); Benjamin Olt (TU Darmstadt); Manisha Luthra (TU Darmstadt); Carsten Binnig (TU Darmstadt)