標(biāo)題: Titlebook: Enabling Real-Time Business Intelligence; 5th International Wo Malu Castellanos,Umeshwar Dayal,Wolfgang Lehner Conference proceedings 2012 [打印本頁] 作者: ambulance 時間: 2025-3-21 18:41
書目名稱Enabling Real-Time Business Intelligence影響因子(影響力)
書目名稱Enabling Real-Time Business Intelligence影響因子(影響力)學(xué)科排名
書目名稱Enabling Real-Time Business Intelligence網(wǎng)絡(luò)公開度
書目名稱Enabling Real-Time Business Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Enabling Real-Time Business Intelligence被引頻次
書目名稱Enabling Real-Time Business Intelligence被引頻次學(xué)科排名
書目名稱Enabling Real-Time Business Intelligence年度引用
書目名稱Enabling Real-Time Business Intelligence年度引用學(xué)科排名
書目名稱Enabling Real-Time Business Intelligence讀者反饋
書目名稱Enabling Real-Time Business Intelligence讀者反饋學(xué)科排名
作者: Indecisive 時間: 2025-3-21 21:11 作者: fidelity 時間: 2025-3-22 02:41
A Cost-Aware Strategy for Merging Differential Stores in Column-Oriented In-Memory DBMS,rite-optimized differential store. To maintain high read performance, both structures must be merged from time to time. In this paper we describe a new merge algorithm that applies full and partial merge operations based on their costs and improvement of read performance. We show by simulation that 作者: Mystic 時間: 2025-3-22 07:03 作者: conquer 時間: 2025-3-22 10:06
Relax and Let the Database Do the Partitioning Online, However, finding and defining suitable horizontal and vertical partitions is a daunting task even for experienced DBAs. This is because the DBA has to understand the physical query execution plans for each query in the workload very well to make appropriate design decisions. To facilitate this proc作者: 踉蹌 時間: 2025-3-22 15:18
Adaptive Processing of Multi-Criteria Decision Support Queries,ti-criteria decision support (MCDS) queries. Skyline queries are a popular class of MCDS queries that have received a lot of attention recently. However, a vast majority of skyline algorithms focus entirely on the input being a single data set. In this work, we instead focus on supporting the more p作者: 踉蹌 時間: 2025-3-22 18:35
Scalable Social Graph Analytics Using the Vertica Analytic Platform,ir respective social networks. It is common belief that relational databases are ill-equipped to deal with graph problems, resulting in the use of MapReduce implementations or special purpose graph analysis engines. We challenge this belief by presenting a few use-cases that Vertica has very success作者: 煩躁的女人 時間: 2025-3-22 23:49
A Near Real-Time Personalization for eCommerce Platform, powerful would a company’s online presence be if the whole experience were relevant to each of the key visitor types and their needs? Personalization has proven its power in helping companies acquire, engage and retain customers by using the technology to accommodate the differences between individ作者: needle 時間: 2025-3-23 01:23 作者: 拋媚眼 時間: 2025-3-23 07:50 作者: moratorium 時間: 2025-3-23 13:09
https://doi.org/10.1007/978-1-4842-0022-3Reduce implementations or special purpose graph analysis engines. We challenge this belief by presenting a few use-cases that Vertica has very successfully solved with simple SQL over a high-performance relational database engine.作者: enchant 時間: 2025-3-23 14:59
Conference proceedings 2012erprise, BIRTE 2011, held in Seattle, WA, USA, in September 2011, in conjunction with VLDB 2011, the International Conference on Very Large Data Bases. The series of BIRTE workshops aims to provide a forum for researchers to discuss and advance the foundational science and engineering required to en作者: 小樣他閑聊 時間: 2025-3-23 18:35 作者: 含水層 時間: 2025-3-23 23:55 作者: BATE 時間: 2025-3-24 04:42 作者: HEED 時間: 2025-3-24 08:06 作者: 整頓 時間: 2025-3-24 11:09 作者: 紀(jì)念 時間: 2025-3-24 17:50 作者: 影響深遠(yuǎn) 時間: 2025-3-24 21:59
https://doi.org/10.1007/978-3-642-33500-6DSS; OLAP; SAP HANA; business intelligence; data analytics; data warehouses; decision-support systems; in-m作者: 迷住 時間: 2025-3-25 02:17 作者: AVID 時間: 2025-3-25 05:03
Introducing Networking and Remoting, a promising approach to enable real-time analytics. In this paper we examine the issue of scaling out memory cache over multiple machines while providing a common data query language with rich expressive power, and allowing the data cached in memory to persist with the ACID properties. Designing an作者: Vasodilation 時間: 2025-3-25 08:25 作者: right-atrium 時間: 2025-3-25 15:41 作者: JOG 時間: 2025-3-25 16:36
Developing a Cloud-Native NATS Application, However, finding and defining suitable horizontal and vertical partitions is a daunting task even for experienced DBAs. This is because the DBA has to understand the physical query execution plans for each query in the workload very well to make appropriate design decisions. To facilitate this proc作者: Lumbar-Stenosis 時間: 2025-3-25 23:39
https://doi.org/10.1007/978-1-4842-6246-7ti-criteria decision support (MCDS) queries. Skyline queries are a popular class of MCDS queries that have received a lot of attention recently. However, a vast majority of skyline algorithms focus entirely on the input being a single data set. In this work, we instead focus on supporting the more p作者: humectant 時間: 2025-3-26 02:36 作者: 賞心悅目 時間: 2025-3-26 06:17
Assessment of the Renal Patient, powerful would a company’s online presence be if the whole experience were relevant to each of the key visitor types and their needs? Personalization has proven its power in helping companies acquire, engage and retain customers by using the technology to accommodate the differences between individ作者: 是限制 時間: 2025-3-26 09:39 作者: Ophthalmoscope 時間: 2025-3-26 12:51
Lecture Notes in Business Information Processinghttp://image.papertrans.cn/e/image/309158.jpg作者: 散步 時間: 2025-3-26 18:48
Using MythWeb: A Web Interface to MythTV,sing (MPP), share nothing, scale-out version of SQL Server focused on data warehousing workloads. The product is packaged as a database appliance built on industry standard hardware. We present an overview of the main software and hardware components of the system and an example illustrating its query processing approach.作者: ENNUI 時間: 2025-3-27 00:52
Microsoft SQL Server Parallel Data Warehouse: Architecture Overview,sing (MPP), share nothing, scale-out version of SQL Server focused on data warehousing workloads. The product is packaged as a database appliance built on industry standard hardware. We present an overview of the main software and hardware components of the system and an example illustrating its query processing approach.作者: ellagic-acid 時間: 2025-3-27 02:44
Shakuntala Gupta Edward,Navin Sabharwalexes, Blink always performs simple, “brute force” scans of the entire data mart in parallel on all nodes, without using any indexes or materialized views, and without any query optimizer to choose among them. The Blink technology has thus far been incorporated into two products: (1) an accelerator a作者: Comedienne 時間: 2025-3-27 08:24
Introducing Networking and Remoting,, a widely used DCP platform. Our contributions include optimized data coherence management along the memory hierarchy, and flexibly configurable page buffering policies for accommodating various workloads. Our preliminary experiments show that the proposed system has the potential to achieve scalab作者: CHARM 時間: 2025-3-27 10:56 作者: 殘忍 時間: 2025-3-27 15:48 作者: 我怕被刺穿 時間: 2025-3-27 19:58
Conference proceedings 2012ment, and the optimization of complex ETL workflows..The volume contains 6 research papers, which have been carefully reviewed and selected from 12 submissions, plus the 3 keynotes presented at the workshop. The topics cover all stages of the business intelligence cycle, including capturing of real-作者: GRIN 時間: 2025-3-28 01:34
,Blink: Not Your Father’s Database!,exes, Blink always performs simple, “brute force” scans of the entire data mart in parallel on all nodes, without using any indexes or materialized views, and without any query optimizer to choose among them. The Blink technology has thus far been incorporated into two products: (1) an accelerator a作者: 糾纏 時間: 2025-3-28 02:40 作者: palliative-care 時間: 2025-3-28 07:13
Relax and Let the Database Do the Partitioning Online,per, we present .: a self-tuning data store which rather than keeping the DBA in the loop, monitors the current workload and partitions the data automatically at checkpoint time intervals — without human intervention. This allows . to gradually adapt the partitions to best fit the observed query wor作者: 落葉劑 時間: 2025-3-28 10:37
Adaptive Processing of Multi-Criteria Decision Support Queries,ing a static one at compile time. This is achieved by adaptively partitioning the input data driven by the feedback of the results already generated. Second, Adaptive-SKIN incrementally build the output space, containing the final skyline, without generating a single join result. Our approach select作者: Bone-Scan 時間: 2025-3-28 15:49
1865-1348 reviewed and selected from 12 submissions, plus the 3 keynotes presented at the workshop. The topics cover all stages of the business intelligence cycle, including capturing of real-978-3-642-33499-3978-3-642-33500-6Series ISSN 1865-1348 Series E-ISSN 1865-1356 作者: Salivary-Gland 時間: 2025-3-28 21:54
