New PDF release: Business Intelligence for the Real-Time Enterprise: Second

By Alexander Löser, Fabian Hueske, Volker Markl (auth.), Malu Castellanos, Umesh Dayal, Timos Sellis (eds.)

ISBN-10: 3642034217

ISBN-13: 9783642034213

ISBN-10: 3642034225

ISBN-13: 9783642034220

This e-book constitutes the completely refereed post-conference complaints of the second one overseas Workshop on company Intelligence for the Real-Time firm, BIRTE 2008, held in Auckland, New Zealand, in August 2008, along with VLDB 2008, the overseas convention on Very huge info Bases.

The keynote speak and the ten revised complete papers provided have been conscientiously reviewed and chosen for inclusion within the booklet. The papers talk about the foremost elements of commercial intelligence for the real-time company, targeting versions and ideas, architectures, case-studies, and functions of and applied sciences for real-time company enterprise intelligence.

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Extra info for Business Intelligence for the Real-Time Enterprise: Second International Workshop, BIRTE 2008, Auckland, New Zealand, August 24, 2008, Revised Selected Papers

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This paper will describe three components that have helped us to accomplish real-time reporting: – Improved instrumentation techniques – Data collection via colo-to-colo event replication – Automated reporting of real-time events In all, when one considers the sheer volume of data, the number of machines and colos we host in, the number of users per day, and the number of event records3 per user per day that Yahoo! has on a daily basis, extraction of any analytical data in a reasonable amount of time is quite a formidable problem.

The six kinds of patterns focus on durationrelated aspect of complicated event and all have typical application scenarios in real-world. For the sake of limited space, we give two examples. 1. Let E1 denote the event of update on topic INS and E2 denote the event of update on topic ACC. We define t as an arbitrary time instant and n as an integer. Durative Event event, O[t,t+n] E1, can occur every n second because E1 occurs per second between t and t+n. Durative Sequence event, E1 Seq-During[t,t+n] E2, can occur every n seconds because both E1 and E2 have occurred in that order every second.

1 Chain-Query Workload In this section we study the view selection problem for workloads containing only chain-queries. In particular, we focus our attention on whether there is an 1 Recall that L = {L}, where L is a single storage limit constraint. On Solving Efficiently the View Selection Problem under Bag-Semantics 25 optimal solution constructed by a set of chain-views. Unfortunately, as the following proposition shows, there are cases in which none of the optimal solutions is constructed by a set of chain-views.

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Business Intelligence for the Real-Time Enterprise: Second International Workshop, BIRTE 2008, Auckland, New Zealand, August 24, 2008, Revised Selected Papers by Alexander Löser, Fabian Hueske, Volker Markl (auth.), Malu Castellanos, Umesh Dayal, Timos Sellis (eds.)


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