Data Stream Management - Brossura

Golab, Lukasz; Ozsu, M. Tamer

Brossura

ISBN 10: 1608452727 ISBN 13: 9781608452729

Casa editrice: Morgan & Claypool, 2010

Riassunto

Many applications process high volumes of streaming data, among them Internet traffic analysis, financial tickers, and transaction log mining. In general, a data stream is an unbounded data set that is produced incrementally over time, rather than being available in full before its processing begins.

In this lecture, we give an overview of recent research in stream processing, ranging from answering simple queries on high-speed streams to loading real-time data feeds into a streaming warehouse for off-line analysis.

We will discuss two types of systems for end-to-end stream processing: Data Stream Management Systems (DSMSs) and Streaming Data Warehouses (SDWs). A traditional database management system typically processes a stream of ad-hoc queries over relatively static data. In contrast, a DSMS evaluates static (long-running) queries on streaming data, making a single pass over the data and using limited working memory. In the first part of this lecture, we will discuss research problems in DSMSs, such as continuous query languages, non-blocking query operators that continually react to new data, and continuous query optimization. The second part covers SDWs, which combine the real-time response of a DSMS by loading new data as soon as they arrive with a data warehouse's ability to manage Terabytes of historical data on secondary storage.

Su questo libro

Product Description

Book by Golab Lukasz Zsu M Tamer Ozsu M Tamer

Dettagli dell?edizione

• Editore: Morgan & Claypool
• Data di pubblicazione: 2010
• ISBN 10: 1608452727
• ISBN 13: 9781608452729
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 65
• Contatto del produttore: non disponibile