Data stream management :  processing high-speed data streams /  
Edited by Minos Garofalakis, Johannes Gehrke, Rajeev Rastogi 
 - Heidelberg :  Springer,  c2016. 
 - vii, 537 p.  :  ill. ;  25 cm. 
 - Data-centric systems and applications .
<br/><br/>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. . 
<br/><br/> We live in the era of ℓ́ℓBig Dataℓ́ℓ: Petabytes of digital information are generated daily, and need to be processed and analyzed for interesting patterns and trends. Besides volume, a defining characteristic of Big Data is its velocity; that is, data is instantiated in the form of continuous, high-speed data streams that arrive at rapid rates, and need to be processed and analyzed on a continuous (24x7) basis. Such data streams pose very difficult challenges for conventional data-management architectures, which are built primarily on the concept of persistent, static data collections. This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications. The collection of chapters, contributed by authorities in the field, offers a comprehensive introduction to both the algorithmic/theoretical foundations of data streams, as well as the streaming systems and applications built in different domains. 
<br/><br/><label>ISBN: </label>9783540286073 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Streaming technology (Telecommunications)<br/>Computer Science<br/>Database Management<br/>Data Mining and Knowledge Discovery<br/>Big Data /Analytics<br/>Data Structures<br/>Information Storage and Retrieval
<br/><br/><label>Dewey Class. No.: </label>006.7876 DA TA