Key ML researcher behind Rheem, now Apache Wayang. Senior Researcher at TU Berlin & BIFOLD. Specialist in ML and Data Science, and enthusiast of true AI.
In this blog post, we focus on using an ML in a place of a cost model and go from cost-based query optimization to the newly proposed ML-based query optimization.
Query optimization is at the core of any data management/analytics system. New research has used machine learning (ML) to solve these tasks more effectively and efficiently.
In this blog post, we focus on big data management. We have already observed ML for data management as well as data management for ML over the last several years.
