標(biāo)題: Titlebook: Business Intelligence for the Real-Time Enterprise; Second International Malu Castellanos,Umesh Dayal,Timos Sellis Conference proceedings 2 [打印本頁(yè)] 作者: amateur 時(shí)間: 2025-3-21 16:41
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書(shū)目名稱(chēng)Business Intelligence for the Real-Time Enterprise讀者反饋
書(shū)目名稱(chēng)Business Intelligence for the Real-Time Enterprise讀者反饋學(xué)科排名
作者: frenzy 時(shí)間: 2025-3-22 00:18 作者: 托人看管 時(shí)間: 2025-3-22 00:36
QoS-Aware Publish-Subscribe Service for Real-Time Data Acquisition,ts. In this paper, we present a comprehensive overview of the Data Distribution Service standard (DDS) and describe its QoS features for developing real-time applications. An overview of an active real-time database (ARTDB) named Agilor is also provided. For efficient expressing QoS policy in Agilor作者: Adrenal-Glands 時(shí)間: 2025-3-22 05:42
A Near Real-Time Reporting System for Enterprises Using JavaScript Instrumentation with Inter-colo rogram content and advertising in a way that benefits both the business and the end user. This paper describes our legacy architecture, as well as a new, low latency pipeline. In particular, we show that by using a combination of novel JavaScript instrumentation techniques, as well as an automated, 作者: Licentious 時(shí)間: 2025-3-22 10:48
A Hybrid Row-Column OLTP Database Architecture for Operational Reporting,idual transactions. It is often not desirable to maintain data on such detailed level in the data warehouse, due to both exploding size of the warehouse and the update frequency required for operational reports. Using an ODS as the source for operational reporting exhibits a similar information late作者: 寬宏大量 時(shí)間: 2025-3-22 15:18
The Reality of Real-Time Business Intelligence,n. Such type of data analysis is needed for both tactical as well as strategic decision making tasks within an enterprise. Unfortunately, there is no clarity about the critical technology components that distinguish a real-time business intelligence system from traditional data warehousing and busin作者: 殘酷的地方 時(shí)間: 2025-3-22 19:26
Scalable Data-Intensive Analytics, the data streams and applying computation to each partition in parallel is the key. Even though the concept of MapReduce has been around for some time and is well known in the functional programming literatures, it is Google which demonstrated that this very high-level abstraction is especially sui作者: Initial 時(shí)間: 2025-3-22 21:26
Simplifying Information Integration: Object-Based Flow-of-Mappings Framework for Integration,ma mappings. We now use Clio as part of a broader data-flow framework in which mappings are just one component. These data-flows express complex transformations between several source and target schemas and require multiple mappings to be specified. This paper describes research issues we have encou作者: gospel 時(shí)間: 2025-3-23 04:54 作者: 祝賀 時(shí)間: 2025-3-23 06:10 作者: Demonstrate 時(shí)間: 2025-3-23 12:55
Lecture Notes in Business Information Processinghttp://image.papertrans.cn/b/image/192225.jpg作者: 禍害隱伏 時(shí)間: 2025-3-23 16:07 作者: 可憎 時(shí)間: 2025-3-23 18:19 作者: 松馳 時(shí)間: 2025-3-24 01:26
Business Intelligence for the Real-Time Enterprise978-3-642-03422-0Series ISSN 1865-1348 Series E-ISSN 1865-1356 作者: 雕鏤 時(shí)間: 2025-3-24 02:59 作者: alabaster 時(shí)間: 2025-3-24 06:50
https://doi.org/10.1007/978-3-319-60759-7e search space of candidate viewsets. In that respect we start delineating the boundary between query workloads for which certain restricted search spaces suffice. They suffice in the sense that they do not compromise optimality in that they contain at least one of the optimal solutions. We start wi作者: 雇傭兵 時(shí)間: 2025-3-24 10:57
https://doi.org/10.1007/978-3-319-60759-7ts. In this paper, we present a comprehensive overview of the Data Distribution Service standard (DDS) and describe its QoS features for developing real-time applications. An overview of an active real-time database (ARTDB) named Agilor is also provided. For efficient expressing QoS policy in Agilor作者: 令人悲傷 時(shí)間: 2025-3-24 16:02
Sandra Diehl,Isabell Koinig,Rebecca Scheiberrogram content and advertising in a way that benefits both the business and the end user. This paper describes our legacy architecture, as well as a new, low latency pipeline. In particular, we show that by using a combination of novel JavaScript instrumentation techniques, as well as an automated, 作者: 主動(dòng)脈 時(shí)間: 2025-3-24 19:22
Media and Communication Theory in Africaidual transactions. It is often not desirable to maintain data on such detailed level in the data warehouse, due to both exploding size of the warehouse and the update frequency required for operational reports. Using an ODS as the source for operational reporting exhibits a similar information late作者: frenzy 時(shí)間: 2025-3-25 00:28
https://doi.org/10.1007/978-3-031-14717-3n. Such type of data analysis is needed for both tactical as well as strategic decision making tasks within an enterprise. Unfortunately, there is no clarity about the critical technology components that distinguish a real-time business intelligence system from traditional data warehousing and busin作者: Pituitary-Gland 時(shí)間: 2025-3-25 03:41
Visual Channels (1): Posters and Fine Art the data streams and applying computation to each partition in parallel is the key. Even though the concept of MapReduce has been around for some time and is well known in the functional programming literatures, it is Google which demonstrated that this very high-level abstraction is especially sui作者: 高貴領(lǐng)導(dǎo) 時(shí)間: 2025-3-25 07:31 作者: 陰郁 時(shí)間: 2025-3-25 14:57 作者: 拋射物 時(shí)間: 2025-3-25 16:25
https://doi.org/10.1007/978-3-031-14717-3igence system. By using this reference architecture we identify the key research and development challenges in the areas of data-stream analysis, complex event processing, and real-time data integration that must be overcome for making real-time business intelligence a reality.作者: arthrodesis 時(shí)間: 2025-3-25 22:34 作者: Breach 時(shí)間: 2025-3-26 04:13
The Reality of Real-Time Business Intelligence,igence system. By using this reference architecture we identify the key research and development challenges in the areas of data-stream analysis, complex event processing, and real-time data integration that must be overcome for making real-time business intelligence a reality.作者: 情感 時(shí)間: 2025-3-26 05:08
https://doi.org/10.1007/978-3-319-60759-7ervice compatible to DDS for distributed real-time data acquisition. Furthermore, QRTPS is implemented on Agilor by using objects and RECA rules in Agilor. To illustrate the benefits of QRTPS for real-time data acquisition, an example application is presented.作者: custody 時(shí)間: 2025-3-26 10:57
QoS-Aware Publish-Subscribe Service for Real-Time Data Acquisition,ervice compatible to DDS for distributed real-time data acquisition. Furthermore, QRTPS is implemented on Agilor by using objects and RECA rules in Agilor. To illustrate the benefits of QRTPS for real-time data acquisition, an example application is presented.作者: 綁架 時(shí)間: 2025-3-26 13:38
1865-1348 trends, and to improve the effectiveness of business processes underlying business operations has become cri- cal. The traditional approach to reporting is no longer adequate, users now demand easy-to-use intelligent platforms and applications capable of analyzing real-time bu- ness data to provide 作者: 受辱 時(shí)間: 2025-3-26 20:03
Sandra Diehl,Isabell Koinig,Rebecca Scheiberew, low latency pipeline. In particular, we show that by using a combination of novel JavaScript instrumentation techniques, as well as an automated, standardized reporting system on top of a near real-time inter-colo event collection mechanism, Yahoo! is nearing its real-time reporting goals.作者: 很像弓] 時(shí)間: 2025-3-26 22:20
A Near Real-Time Reporting System for Enterprises Using JavaScript Instrumentation with Inter-colo ew, low latency pipeline. In particular, we show that by using a combination of novel JavaScript instrumentation techniques, as well as an automated, standardized reporting system on top of a near real-time inter-colo event collection mechanism, Yahoo! is nearing its real-time reporting goals.作者: 卜聞 時(shí)間: 2025-3-27 03:44 作者: maverick 時(shí)間: 2025-3-27 06:06 作者: gusher 時(shí)間: 2025-3-27 10:13
Public Body (2): Mass Festivalsntered as we try to create and run these .. In particular, we describe how we use . (UFOs), a schema abstraction similar to business objects, as our data model, how we reason about flows of mappings over UFOs, and how we create and deploy transformations into different run-time engines.作者: 沐浴 時(shí)間: 2025-3-27 14:09 作者: 改正 時(shí)間: 2025-3-27 20:41
A Hybrid Row-Column OLTP Database Architecture for Operational Reporting,l cube as a method for consuming operational reports from a conventional warehousing environment..The paper presents the results of a project we did with SAP AG. The described solution for operational reporting has been implemented in SAP Business ByDesign and SAP Business Warehouse.作者: G-spot 時(shí)間: 2025-3-28 02:01 作者: 粗野 時(shí)間: 2025-3-28 02:30 作者: Pamphlet 時(shí)間: 2025-3-28 07:32 作者: Leaven 時(shí)間: 2025-3-28 14:24
Media and Accountability in Latin Americaor these applications. We will also present examples and research challenges that the information management research community needs to address in order to arrive at a platform for Situational Business Intelligence.作者: 陪審團(tuán)每個(gè)人 時(shí)間: 2025-3-28 14:55 作者: 鐵塔等 時(shí)間: 2025-3-28 22:31 作者: Tailor 時(shí)間: 2025-3-29 02:10 作者: Invertebrate 時(shí)間: 2025-3-29 05:19 作者: NEG 時(shí)間: 2025-3-29 10:32
Book 2023Vor jedem Neuanfang muss erst einmal eine Bestandsaufnahme erfolgen: Welches Ziel wollen wir erreichen, was und wen brauchen wir dafür und wie sehen die Rahmenbedingungen aus? Dieses Fachbuch stellt die grundlegende Basis und das notwendige Rüstzeug vor, welche es braucht, um die agile und digitale
