Optimization of Object-Oriented Queries by Inverse Methods

Eder, Johann; Frank, Heinz; Liebhart, Walter

doi:10.1007/978-1-4471-3577-7_8

Cited by 11 publications

(2 citation statements)

References 3 publications

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“…There are many new challenges in designing, creating and maintaining large data warehouses. [14], [16], [3], [4] There are several new promising research issues some of which are related to problems that the database community has worked on for several years, but others are only just beginning to be addressed. For modern (i.e.…”

Section: Resultsmentioning

confidence: 99%

A Comparative Study Between the Performance of Relational & Object Oriented Database in Data Warehousing

Sharma¹

2011

IJDMS

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A data warehouse is a repository of subjectively selected and adapted operational data which can successfully answer any ad hoc, statistical, complex or analytical queries. Data warehousing technology is becoming essential for effective business intelligence, business strategy formulation and implementation in a globally competitive environment where in larger and larger amounts of data are required to be processed faster and faster for comprehension of its real meaning and impact. A warehouse is a subjectoriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process". Data that gives information about a particular subject instead of about a company's ongoing operations. It is integrated as data that is gathered into the data warehouse from a variety of sources and merged into a coherent whole. Data warehouse system is time variant as all data in the data warehouse is identified with a particular time period This paper discusses in detail two existing database models used for data warehousing, the relational database and object oriented database and does an analysis of the benefits of Object Oriented databases over the conventional relational database in Data warehousing.

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Section: Resultsmentioning

confidence: 99%

A Comparative Study Between the Performance of Relational & Object Oriented Database in Data Warehousing

Sharma¹

2011

IJDMS

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“…To this end a designer must include appropriate data structures into the system at the design phase, even if materialisation may never be used. Another approach to method precomputation was discussed in [4]. The authors developed the concept of so called inverse methods used within a query only.…”

Section: Related Workmentioning

confidence: 99%

Prototype system for method materialisation and maintenance in object-oriented databases

Jezierski

Masewicz

Wrembel

2004

Proceedings of the 2004 ACM Symposium on Applied Computing

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The efficient execution of a method has a great impact on a system response time. Optimising access to data returned by methods is difficult as methods are written in high-level programming languages. Moreover, estimating a method's execution cost is another serious problem because of the complexity of a method's code. A promising technique to tackle the problem of optimising execution of methods is based on method materialisation. Within our project we developed, so called, hierarchical method materialisation technique. In this paper we present a prototype system for hierarchical materialisation of methods and for the management of their results in an object-oriented database.

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Dynamic Method Materialization: A Framework for Optimizing Data Access Via Methods

Wrembel

Masewicz

Jankiewicz

2006

Lecture Notes in Computer Science

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Optimization of Object-Oriented Queries by Inverse Methods

Cited by 11 publications

References 3 publications

A Comparative Study Between the Performance of Relational & Object Oriented Database in Data Warehousing

A Comparative Study Between the Performance of Relational & Object Oriented Database in Data Warehousing

Prototype system for method materialisation and maintenance in object-oriented databases

Dynamic Method Materialization: A Framework for Optimizing Data Access Via Methods

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