Data stream warehousing

Data stream warehousing is a data management technology designed to simultaneously handle big-data and fast-data. Conceptually, a data stream warehouse can be thought of as a data warehouse system that is updated in nearly-real time rather than during downtimes, or as a data stream management system that stores a very long history. In this tutorial, we 1) motivate the need for data stream warehouse systems using real-life examples drawn from our experiences in network and data center monitoring, 2) describe several possible system architectures for data stream warehousing, 3) discuss various issues in query languages, performance optimizations and data stream quality, and 4) conclude with a discussion of open problems.