The document discusses the need for an analytics query engine that allows machine learning algorithms to be specified declaratively and executed using distributed operators and optimization techniques. It proposes a language with a SQL-like syntax and the use of Datalog to express machine learning algorithms declaratively. Key operators for tasks like linear algebra, aggregation, and iteration would be defined. The engine would optimize queries by rewriting operators and using techniques from databases and machine learning.