Traditional Database Management Systems are built on the concept of persistent data sets, that are stored reliably in stable storage and queried/updated several times throughout their lifetime. For several emerging application domains, however, data arrives and needs to be processed on a continuous (24x7) basis, and they need data-processing algorithms and systems that work over continuous data streams. This book is the first in-depth treatment of this important topic, covering basic data stream techniques, data stream synopses, mining data streams, advanced data stream computations, and systems and architectures for data stream management systems. TOC:Part I: Introduction.- Part II: Computation of Basic Stream Synopses.- Part III: Mining Data Streams.- Part IV: Advanced Topics.- Part V: Systems and Architectures.- Part VI: Applications.