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A context-aware methodology for very small data base design

C. Bolchini, F. A. Schreiber, L. Tanca
2004 SIGMOD record  
We propose a complete methodology for designing Very Small Data Bases, from the identification of the device resident portions down to the choice of the physical data structure, optimizing the cost and  ...  The design of a Data Base to be resident on portable devices and embedded processors for professional systems requires considering both the device memory peculiarities and the mobility aspects, which are  ...  Data structures for very small databases Classical, indexed data structures are often inappropriate for VSDB's; indeed, the search needs we have within the small tables stored is often not worth the overload  ... 
doi:10.1145/974121.974134 fatcat:nfwey5l3czc7re4ho3hvw5ru6e

Page 12 of Journal of Research and Practice in Information Technology Vol. 11, Issue 3 [page]

1979 Journal of Research and Practice in Information Technology  
This process is referred to as logical database design. The storage structure level is the result of mapping the logical data structure into physical storage.  ...  Key Words and Phrases: data analysis, data model, database design, database management system, data structuring, entity analysis, entity model, functional analysis, logical design, TOTAL CR Categories:  ... 

The Design and Actualization of the Vehicle Management in Shandong Juneng Heating Company

Fei Guo, Cheng Ai Sun, Rui Wang, Xiao Wen Wang
2012 Advanced Engineering Forum  
and constructs the vehicle management system based on B/S model, in which such data as applications, approvals can be edited, statistically analyzed and printed.  ...  The paper, in answering for the actual needs of Shandong Juneng Heating Company, analyses the vehicle management system, constructs the model utilizing UML; designs the database based on the Erwin mechanism  ...  Manufacturing Systems III Physical Database Design Based on the logic model of the database, by using its own data dictionary, and the forward engineering of Erwin, the logic database model can be converted  ... 
doi:10.4028/ fatcat:wsiamuv6qjdxrfixraqt2msz4e

Re-think Data Management Software Design Upon the Arrival of Storage Hardware with Built-in Transparent Compression

Ning Zheng, Xubin Chen, Jiangpeng Li, Qi Wu, Yang Liu, Yong Peng, Fei Sun, Hao Zhong, Tong Zhang
2020 USENIX Workshop on Hot Topics in Storage and File Systems  
This allows data storage management software intentionally waste logical storage space in return for employing simpler data structures, leading to lower implementation complexity and higher performance  ...  Such storage hardware decouples logical storage space utilization efficiency from physical storage space utilization efficiency.  ...  the TPS performance at very small increase of physical storage space usage.  ... 
dblp:conf/hotstorage/ZhengCLWLPSZ020 fatcat:rcskfjkfhbbkxmo2zby5f4gyvi

Database Computers—A Step Towards Data Utilities

Baum, Hsiao
1976 IEEE transactions on computers  
The concept of the data utility as a database system capable of supporting a data model, a large-scale on-line store, and concurrent user access has emerged in recent years.  ...  A summary of previous activities and a discussion of the state of the art of database computers is given. An attempt is made to suggest guidelines for future database computer architecture research.  ...  make the physical database structure "close" in some sense to the logical database structure.  ... 
doi:10.1109/tc.1976.1674592 fatcat:kiwortlfmbcbvekifdkqsidncy

Logical Data Integration Model for the Integration of Data Repositories

Waseem Jeelani Bakshi, Rana Hashmy, Majid Zaman, Muheet Ahmed Butt
2018 International Journal of Database Theory and Application  
Physical integration of heterogeneous data sources is too high a price for small and medium level enterprises.  ...  In this paper we propose a LDIM (Logical Data Integration Model) which will describe data, schema and context for integration of heterogeneous data sources including legacy repositories.  ...  Every enterprise, small, medium or large uses databases to store and retrieve their relevant data owing to the ease with which they can perform these tasks using database applications.  ... 
doi:10.14257/ijdta.2018.11.1.03 fatcat:jp2fmbs6ybe4jd3xyqe5rmiagm

Sensitivity of the physical database design to changes in underlying factors

Prashant Palvia
1988 Information & Management  
This paper considers underlying factors related to logical data structure, queries, computer system and physical implementation.  ...  Such tenths would be of significant practical value in both the design of the initial physical database and its subsequent restructuring.  ...  Guidelines for physical database design based on the logical data structure have been proposed in [3, 22] .  ... 
doi:10.1016/0378-7206(88)90070-5 fatcat:4unhhykqdfb7zpv6jbr5cdzbxi

Migration of Relational Database to Document-Oriented Database: Structure Denormalization and Data Transformation

Girts Karnitis, Guntis Arnicans
2015 2015 7th International Conference on Computational Intelligence, Communication Systems and Networks  
The paper offers a solution for quick data migration from a relational database into a document-oriented database. We have created semiautomatically two logical levels over physical data.  ...  Users can refine generated logical data model and configure data migration template for each needed document. Data migration features are implemented into relational database browser DigiBrowser.  ...  L-KC-11-0003 signed between ICT Competence Centre and Investment and Development Agency of Latvia, Research No. 1.8 "Technology for denormalisation of relational data bases"  ... 
doi:10.1109/cicsyn.2015.30 dblp:conf/cicsyn/KarnitisA15 fatcat:d7coi7bfs5h6tdtbceiqdwpsta

Capacity Bound-free Web Warehouse

Yahiko Kambayashi, Kai Cheng
2003 Conference on Innovative Data Systems Research  
As web data are very much complicated, we have to handle mutually related data objects. Links and structures of documents are  ...  As in web-based applications, only a small fraction of data becomes hot spot and hot spots are changing very rapidly, self-organizing property using dynamically changing priority is important.  ...  Acknowledgment This work is supported in part by JSPS (Japan Society for the Promotion of Science) and CREST of JST (Japan Science and Technology Corporation). The authors would like to thank Dr.  ... 
dblp:conf/cidr/KambayashiC03 fatcat:7lebb3xnfzg3pnqywiczxkavu4

Factual databases for materials design and manufacturing

Kyoko Eriguchi, Kazuki Shimura
1990 ISIJ International  
The number of source information which should be entered into a materials database is very large, therefore the databases must be optimally structured in records and files As an example, the structure  ...  Discussion is madeon characteristics of data items, validation of materials databases, the present status and future aspect of delivery and database systems.  ...  Source data items of a data category (for example, material identifier) are structured to one logical record and some of these logical records can be edited into a subfile.  ... 
doi:10.2355/isijinternational.30.409 fatcat:ff4oro2kfffq5k4arr3m3metv4

An interactive DSS tool for physical database design

Prashant C. Palvia
1991 Information Sciences  
Logical design involves the development of a logical data structure (LDS) for the task domain; and physical design is concerned with developing storage structures for placing data on secondary storage,  ...  Article: INTRODUCTION Database design is a challenging and complex activity involving two phases: logical design and physical design.  ...  The simulation component accepts the problem definition (i.e., the logical data structure, the activities to take place on the database, the computer system characteristics, and a physical database design  ... 
doi:10.1016/0020-0255(91)90053-w fatcat:k5lgdlbxvzevrm3lycdw6nian4

Query Optimization for XML

Jason McHugh, Jennifer Widom
1999 Very Large Data Bases Conference  
We define appropriate logical and physical query plans, database statistics, and a cost model, and we describe plan enumeration including heuristics for reducing the large search space.  ...  XML is an emerging standard for data representation and exchange on the World-Wide Web.  ...  The logical query plan generator then creates a single logical query plan describing a very high-level execution strategy for the query.  ... 
dblp:conf/vldb/McHughW99 fatcat:gcr7pvallbcx3b3s3p6jjwr4vq

Design of rural endowment insurance database system

Wu Xie, Huimin Zhang, Lijing Lu
2011 Procedia Engineering  
After detailed requirement analysis, three database design stages of conceptual structure, logical structure and physical structure were carried out.  ...  , and the corresponding data are stored in SQL Server.  ...  It is very fit for peasants and rural worker in remote villages.  ... 
doi:10.1016/j.proeng.2011.08.752 fatcat:aoltfu3ld5dwrfpy6ld5mzonxe

Page 41 of University Computing : The Bulletin of the IUCC Vol. 12, Issue 1 [page]

1990 University Computing : The Bulletin of the IUCC  
(5) Define input database (6) Define logical database (7) Design physical database (8) Implement physical database [pp. 116-18] Associated with each of the eight steps is a series of questions designed  ...  (3) Have output and required data structures been prepared for each output? (4) Have input and necessary data structures been prepared for each output?  ... 

Medical Products Supply Chain and Its Information System Design

Hong Sun, Xiaoyu Chen
2019 Yangtze Medicine  
From the aspects of basic management, resource integration and database design, we put forward the design concept of the informationization of the supply chain system of medical products in China.  ...  The information system can ensure the precision and rationality of the supply of medical products, and provide high-quality services and service efficiency, and meet the different needs of different customers  ...  It includes six stages: demand analysis, conceptual structure design, logical structure design, physical structure design, database implementation, database operation and maintenance. 1) Demand analysis  ... 
doi:10.4236/ym.2019.32014 fatcat:ri3diggh7janzgkre74x6jhehe
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