A Database Striptease or How to Manage Your Personal Databases

Kersten, Martin; Weikum, Gerhard; Franklin, Michael J.; Keim, Daniel A.; Buchmann, A.; Chaudhuri, Surajit

doi:10.1016/b978-012722442-8/50100-2

Cited by 7 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among others, digital video, music and images are prominent examples [10]. Unfortunately, file systems have not evolved to accomodate the need for navigation through thousands of files: users are still forced to create a directory hierarchy for their files.…”

Section: Introductionmentioning

confidence: 99%

A relational file system as an example for tailor-made DMS

Koll

2008

Proceedings of the 2008 EDBT Workshop on Software Engineering for Tailor-Made Data Management

View full text Add to dashboard Cite

This paper motivates the development of tailor-made data mangement software by presenting a relational file system that has been written from scratch to contain only the database functionality absolutely required for operation. In this paper, the background of the file system is briefly described, and it is stated why an off-the-shelf database system was not suitable for its major components. This application serves as a model for what highly configurable data management software should be able to deliver. If such a system was available at the time of development, a large amount of work would have been saved.

show abstract

Section: Introductionmentioning

confidence: 99%

A relational file system as an example for tailor-made DMS

Koll

2008

Proceedings of the 2008 EDBT Workshop on Software Engineering for Tailor-Made Data Management

View full text Add to dashboard Cite

show abstract

“…Embedded systems like smartcards, various hardware appliances, peer-to-peer and stream based architectures for embedded devices use shared information resources and require declarative query processing for resource discovery, caching and archiving, etc. [14]. Query processing for sensor networks requires different semantics of queries as well as additional features than provided in SQL standards [15].…”

Section: Introductionmentioning

confidence: 99%

“…Characteristics of SQL like data access, query execution speed, and memory requirements differ between application domains like data warehouses and embedded systems. Various researchers have shown the need for configurability in many areas of DBMS [7,14,18]. We therefore need to be able to select only the functionality we need in database products in general and SQL in particular.…”

Section: Introductionmentioning

confidence: 99%

“…All major database technology vendors have adopted a very general approach, combining functionality from diverse areas in one database product [9]. Likewise, Structured Query Language (SQL), the basis for interaction between database technology and its user, has grown enormously in its size and complexity [7,14,9]. From the conceptually simple queries like the standard selection-projection-join queries and aggregation, SQL now contains ever growing number of additional constructs pertaining to new areas of computing to which database technology has been introduced [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Generating highly customizable SQL parsers

Sunkle

Kuhlemann

Siegmund

et al. 2008

Proceedings of the 2008 EDBT Workshop on Software Engineering for Tailor-Made Data Management

View full text Add to dashboard Cite

Database technology and the Structured Query Language (SQL) have grown enormously in recent years. Applications from different domains have different requirements for using database technology and SQL. The major problem of current standards of SQL is complexity and unmanageability. In this paper we present an approach based on software product line engineering which can be used to create customizable SQL parsers and consequently different SQL dialects. We present an overview of how SQL can be decomposed in terms of features and compose different features to create different parsers for SQL.

show abstract

“…Applications for PDAs execute complicated join and aggregate queries on the device resident data. Thus, there is an increasing need to facilitate execution of complex queries locally on a variety of lightweight computing devices [14,20].…”

Section: Introductionmentioning

confidence: 99%