Access Path Selection in a Relational Database Management System84 赞同 · 13 评论文章 Volcano / Cascades The Volcano Optimizer Generator : Extensibility and Efficient Search82 赞同 · 13 评论文章 The Cascades Framework for Query Optimization56 赞同 · 9 评论文章 从上面这3个命名就能看出来,第一套...
This chapter proposed a platform construction for data management and control called Data Architecture (DA), which can be used in big data service operation management and provide complicated data applications with data protection in the open Internet environment. The functions of DA are: (1) ...
In this study, the key areas and current trends in the field of big data applications in the insurance industry are identified, along with suggestions for ... S Mall,TR Panigrahi,S Verma - 《Journal of Financial Management Markets & Institutions》 被引量: 0发表: 2023年 NAVIGATING THE ECOSYS...
IEEE Software 2015;32(3):78-85Gorton, I., Klein, J.: Distribution, Data, Deployment: Software Architecture Convergence in Big Data Systems. IEEE ... SE Institute,I Gorton,J Klein 被引量: 27发表: 0年 Software Architecture for Data Management in Distributed System The growth of data from ...
Using a highly extensible abstraction of meta- data and system description, Orca is no longer confined to a specific host system like traditional optimizers. In- stead it can be ported to other data management sys- tems quickly through plug-ins supported by its Meta- data Provider SDK. ...
System R: Relational Approach to Database Management[J]. ACM Trans. Database Syst., New York, NY, USA: ACM, 1976, 1(2): 97–137. [12] GRAY J, LORIE R A, PUTZOLU G R, et al. Granularity of Locks and Degrees of Consistency in a Shared Data Base[C]//NIJSSEN G M. ...
Despite significant advances in data management systems in recent decades, the processing of big data at scale remains very challenging. While cloud computing has been well-accepted as a solution to address scalability needs, cloud configuration and operation complexity persist and often present themselve...
A data architecture demonstrates a high-level perspective of how different data management systems work together. These are inclusive of various data platforms and data storage repositories, such as data lakes, data warehouses, data marts, databases and more. ...
Context The rapid prevalence and potential impact of big data analytics platforms have sparked an interest amongst different practitioners and academia. Manufacturing organisations are particularly well suited to benefit from data analytics platforms in their entire product lifecycle management for intelligent ...
Metadata management is one of the key functionalities in the data management system and the enabler for all other data management functions. Metadata, i.e., data describing data, in essence defines the semantic meaning of data and relation between data components. Metadata reflects data model and...