There is data related to the collection and management of big data that is as relevant as the primary datasets being collected, and can itself be very large. In this chapter, we will examine two aspects of High Performance Computing (HPC) data that fall under the category of big data. The first is the collection of HPC environmental data and its analysis. The second is the collection of information on how large datasets are produced by scientific research on HPC systems so that the datasets can be processed efficiently. A team within the computational facility at NERSC created an infrastructure solution to manage and analyze the data related to monitoring of HPC systems. This solution provides a single location for storing the data, which is backed by a scalable and parallel, time-series database. This database is flexible enough such that maintenance on the system does not disrupt the data collection activity.