SQL for Stored and Inherited Relations

A stored and inherited relation (SIR) is a stored relation (SR) extended with inherited attributes (IAs) calculated as in a view. Without affecting the normal form of the SR, IAs can make queries free of logical navigation or of value expressions. A view of the SR can do the same. The virtual (dynamic, computed...) attributes (VAs) possibly extending SRs at major DBSs, can do as well for value expressions defining them. VAs are less procedural to declare than any alternate view. Likewise, altering any attribute of an SR with VAs leading to view altering otherwise is less procedural. We propose extensions to SQL generalizing the latter two properties to SIRs. In particular, one may define IAs through value expressions not supported as VAs at present. Also, to define an IA instead of a VA is at most as procedural. We motivate our proposals through the "biblical" Supplier-Part DB. We postulate SIRs standard on SQL DBSs

Converting relational databases into object relational databases

This paper proposes an approach for migrating existing Relational DataBases (RDBs) into Object-Relational DataBases (ORDBs). The approach is superior to existing proposals as it can generate not only the target schema but also the data instances. The solution takes an existing RDB as input, enriches its metadata representation with required semantics, and generates an enhanced canonical data model, which captures essential characteristics of the target ORDB, and is suitable for migration. A prototype has been developed, which migrates successfully RDBs into ORDBs (Oracle 11g) based on the canonical model. The experimental results were very encouraging, demonstrating that the proposed approach is feasible, efficient and correct

Formal Representation of the SS-DB Benchmark and Experimental Evaluation in EXTASCID

Evaluating the performance of scientific data processing systems is a difficult task considering the plethora of application-specific solutions available in this landscape and the lack of a generally-accepted benchmark. The dual structure of scientific data coupled with the complex nature of processing complicate the evaluation procedure further. SS-DB is the first attempt to define a general benchmark for complex scientific processing over raw and derived data. It fails to draw sufficient attention though because of the ambiguous plain language specification and the extraordinary SciDB results. In this paper, we remedy the shortcomings of the original SS-DB specification by providing a formal representation in terms of ArrayQL algebra operators and ArrayQL/SciQL constructs. These are the first formal representations of the SS-DB benchmark. Starting from the formal representation, we give a reference implementation and present benchmark results in EXTASCID, a novel system for scientific data processing. EXTASCID is complete in providing native support both for array and relational data and extensible in executing any user code inside the system by the means of a configurable metaoperator. These features result in an order of magnitude improvement over SciDB at data loading, extracting derived data, and operations over derived data.Comment: 32 pages, 3 figure

DESIGNING AN OBJECT RELATION MAPPING SYSTEM IN PHP

Object Relational Mapping is a programming technique used by software developers to convert data between incompatible systems. This technique is used in object-oriented programming languages, hence the “Object” in Object Relational Mapping. Often times we see ORM systems being used by developers when interacting with relational database management systems. ORM is about creating classes that mimic the tables in the database but in a more business oriented manner rather than the normalized form used by the RDBMS.ORM, object, relational, mapping, class, business model, normalization, primary key, foreign key, methods, properties

XML Security in Certificate Management - XML Certificator

The trend of rapid growing use of XML format in data/document management system reveals that security measures should be urgently considered into next generation's data/document systems. This paper presents a new certificate management system developed on the basis of XML security mechanisms. The system is supported by the theories of XML security as well as Object oriented technology and database. Finally it has been successfully implemented in using C&#, SQL, XML signature and XML encryption. An implementation metrics is evidently presented

Towards Analytics Aware Ontology Based Access to Static and Streaming Data (Extended Version)

Real-time analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios such as diagnostics of turbines in Siemens. OBDA approach has a great potential to facilitate such tasks; however, it has a number of limitations in dealing with analytics that restrict its use in important industrial applications. Based on our experience with Siemens, we argue that in order to overcome those limitations OBDA should be extended and become analytics, source, and cost aware. In this work we propose such an extension. In particular, we propose an ontology, mapping, and query language for OBDA, where aggregate and other analytical functions are first class citizens. Moreover, we develop query optimisation techniques that allow to efficiently process analytical tasks over static and streaming data. We implement our approach in a system and evaluate our system with Siemens turbine data