By Lukasz Golab, Nesime Tatbul, M. Tamer Ozsu
During this lecture many purposes procedure excessive volumes of streaming information, between them web site visitors research, monetary tickers, and transaction log mining. quite often, a knowledge circulation is an unbounded facts set that's produced incrementally over the years, instead of being to be had in complete ahead of its processing starts. during this lecture, we provide an summary of modern study in circulation processing, starting from answering basic queries on high-speed streams to loading real-time info feeds right into a streaming warehouse for off-line research. we'll speak about kinds of structures for end-to-end move processing: info movement administration platforms (DSMSs) and Streaming facts Warehouses (SDWs). a standard database administration procedure commonly procedures a movement of ad-hoc queries over particularly static information. against this, a DSMS evaluates static (long-running) queries on streaming info, creating a unmarried omit the information and utilizing constrained operating reminiscence. within the first a part of this lecture, we are going to talk about examine difficulties in DSMSs, reminiscent of non-stop question languages, non-blocking question operators that consistently react to new facts, and non-stop question optimization. the second one half covers SDWs, which mix the real-time reaction of a DSMS by way of loading new info once they come with a knowledge warehouse's skill to regulate Terabytes of ancient info on secondary garage. desk of Contents: creation / info circulate administration platforms / Streaming info Warehouses / Conclusions
Read or Download Data Stream Management PDF
Similar management books
Intended to counterpoint instead of compete with the present books at the topic, this e-book offers with the undertaking functionality and keep an eye on stages of the undertaking lifestyles cycle to give an in depth research of the project’s time functionality dimension equipment and possibility research concepts with a view to overview current and newly constructed tools by way of their skills to enhance the corrective activities decision-making strategy in the course of undertaking monitoring.
The only ecu marketplace, the second one Banking Directive, rest of cross-border capital and cash hobbies and the prospective advent of a unmarried eu foreign money have led so much organizations to undertake new money administration techniques, or to devise for significant structural alterations within the close to destiny. This publication focuses upon treasury and digital banking practices in ecu funds administration.
- Management – Handlungsmuster erfolgreicher Führungskräfte
- Warranty Management and Product Manufacture
- The Management of Lithiasis: The Rational Deployment of Technology
Extra resources for Data Stream Management
Widom. Resource sharing in continuous sliding-window aggregates. In Proc. 30th Int. Conf. on Very Large Data Bases, pages 336–347, 2004. 31 A. Arasu, B. Babcock, S. Babu, J. McAlister, and J. Widom. Characterizing memory requirements for queries over continuous data streams. ACM Trans. , 29(1):162–194, March 2004a. 974756 29 A. Arasu, M. Cherniack, E. Galvez, D. Maier, A. S. Maskey, E. Ryvkina, M. Stonebraker, and R. Tibbets. Linear road: a stream data management benchmark. In Proc. 30th Int. Conf.
Feb. 1 Feb. 2 Update – Feb. 2. 3: Identifying out-of-date partitions of rolled-up tables in response to an update to a fact table. The challenge in efficient update propagation is to identify which partitions of a derived table may have changed after a base table has been updated. In some cases, we can use dimension hierarchies to find partitions that need updating. 3 shows that if daily sales data are added to a fact table, then we can determine which partitions of the weekly and monthly roll-up tables are out-of-date.
12 (2):120–139, Aug 2003. 1007/s00778-003-0095-z 6, 9, 12, 16 D. Abadi, Y. Ahmad, M. Balazinska, U. Cetintemel, M. Cherniack, J-H. Hwang, W. Lindner, A. Rasin, N. Tatbul, Y. Xing, and S. Zdonik. The design of the Borealis stream processing engine. In Proc. 2nd Biennial Conf. on Innovative Data Systems Research, pages 277–289, 2005. 6, 36 B. Adelberg, H. Garcia-Molina, , and B. Kao. Applying update streams in a soft real-time database system. In Proc. ACM SIGMOD Int. Conf. on Management of Data, pages 245–256, 1995.
Data Stream Management by Lukasz Golab, Nesime Tatbul, M. Tamer Ozsu