  For decades, database research has focused on optimizing performance under
fixed resources. As more and more database applications move to the public
cloud, we argue that it is time to make cost a first-class citizen when solving
database optimization problems. In this paper, we introduce the concept of cost
intelligence and envision the architecture of a cloud data warehouse designed
for that. We investigate two critical challenges to achieving cost intelligence
in an analytical system: automatic resource deployment and cost-oriented
auto-tuning. We describe our system architecture with an emphasis on the
components that are missing in today's cloud data warehouses. Each of these new
components represents unique research opportunities in this much-needed
research area.
