Modify Data with Advanced DML

VLSI integrated circuit design representation in an object-oriented CAD environment

Integration of large heterogeneous data collections, gathered usually for making decisions on information security (IS) management issues, requires a preliminary step -- unification of their data models. It is provided by mapping the source data models into the canonical information model. Information and semantics of data definition languages (DDL) and semantics of the operations of data manipulation languages (DML) have to be preserved by the mapping. This research is devoted to the unification of the graph data models (GDM) -- the important kind of the existing various data models. The distinguishing features of modern GDM are discussed as well as their application in the information security (IS) area. The issues of proof of DDL and DML semantics preserving by the mapping of the GDM into the object-frame canonical model are briefly considered. Future work steps in applying research results to different IS management areas are indicated in conclusion.

The paper describes the application of automatic program generation methodology in generating file conversion programs. The system, accepts as input descriptions of source and target files in a Data Description Language (DDL) and data manipulation specifications in a Data Manipulation Language (DML). It produces as an output a conversion program in PL/1 capable of converting the source file and producing the target file.

IDAMS is a prototype of a general purpose system for interactive data manipulation. The paper analyzes the requirements for an interactive pictorial data base system and shows that the known requirements for pictorial application can best be met by a general purpose system such as IDAMS. Major features of IDAMS are: the powerful high level data manipulation language. the datatypes of APL plus extensions for interactive data analysis. the convenient extensibility of the system by functions written in FORTRAN, PL/I or ASSEMBLY language. the interactive extensibility via APL, both within and in addition to the data manipulation language. the convenient access to special purpose hardware including image processing devices. The ease, with which the general purpose system can be adapted to a pictorial application, is contrasted with the problems and risks introduced by the development of a special purpose data base system for pictorial applications.KeywordsHigh Level LanguageAssembly LanguageCentral InterfaceData Base SystemIntegrate Data AnalysisThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

In the past, commercial client/server systems were typically limited to configurations employing a single relational database management system (DBMS). Moreover, both client and server components were either designed by a single vendor, or constructed using one of the many application programming interfaces (API) available, restricting that application for use with the single DBMS for which that API was designed. Since then, customer expectations have grown to include connectivity and interoperability requirements for the heterogeneous mixture of applications and database products which comprise their enterprise: a diverse set of APIs, operating platforms, filetypes, and network operating systems. Middleware products have emerged to provide interoperability for these components via gateways, which map the APIs, data manipulation languages (DML), and database wire protocols of these diverse components. In addition to basic interoperability, the ease-of-use and performance characteristics of the middleware model have begun to change. The distributed database, constructed from middleware technologies, is seen as the means by which the distributed, heterogeneous enterprise computing environment can be integrated as a homogeneous unit. >

CHAPTER 15 - INFORMATION RESOURCE MANAGEMENT

Interfacing Prolog and external data management systems causes problems as a result of the different semantics of Prolog and the data manipulation language, offered by the data management system. These problems arise especially when backtrackable predicates in Prolog for accessing externally stored data are provided. In this paper, the problems regarding these backtrackable predicates are identified. The predicates must be managed in coordination with updates and non-complete backtracking (occurrences of cut), by some interface between Prolog and the external data management system. The solution to the problems is given in terms of a communication module, which is able to handle the accesses to the external data management system, while preserving the semantic of the programming language Prolog.

Translating object-oriented database transactions into relational transactions

Issues on data integration have become the focus of database research for more than a decade. Now data sources are increasingly diversified, such as traditional databases, file systems, WWW, multimedia databases etc. on various platforms. Today it is a great challenge to integrate so many kinds of distributed data sources. Based on an investigation of existing data integration approaches, we believe that integrating data by employing distributed object technology is a promising approach. We present a data integration system, named Versatile, which is a scalable CORBA-based system for integrating distributed data, and has following features: a common data model, Object Model for Integration (OIM) and a data manipulation language, Object Integration Query Language (OIQL) for integrating heterogeneous data; Versatile supports as many user-level object views as needed; and CORBA is used as the underlying structure for data integration. All components of Versatile are encapsulated as CORBA objects, so other data sources can join the system in a "plug and play" way. The system architecture, OIM, query processing as well as Object Inspector, which is a smart graphical user interface of Versatile are introduced.

: The purpose of IDA Memorandum Report M-459, An Oracle - Ada/SQL implementation, is to identify and describe a version of a software delivery, an Oracle - Ada/SQL (Structured Query Language) implementation, to the WIS Joint Program Management Office. The software system provides a Level 1 Ada/SQL implementation which interacts with the Oracle database management system (DBMS) . It provides the ability to define Ada/SQL Data Definition Language (DDL) and Ada/SQL Data Manipulation Language (DML) which will be converted to the appropriate SQL calls required by the Oracle DBMS. Ada/SQL is a binding between Ada and the database programming language SQL. The software was developed on a VAX 8600, using VAX/VMS version 4.6, and the DEC Ada compiler, version 1.4-33.

In this paper, we try to provide a synthetic and comprehensive state of the art concerning big data management in cloud environments. In this perspective, data management based on parallel and cloud (e.g. MapReduce) systems are overviewed, and compared by relying on meeting software requirements (e.g. data independence, software reuse), high performance, scalability, elasticity, and data availability. With respect to proposed cloud systems, we discuss evolution of their data manipulation languages and we try to learn some lessons should be exploited to ensure the viability of the next generation of large-scale data management systems for big data applications.

The PHLOX project leads to three Data Base Management System (DBMS) packages for micro-computers: PHLOX1 for individual machines, PHLOX2 for servers managing data bases shared between several users in a local network, and PHLOX3, a Distributed DBMS for interconnected work stations. These packages have the essential possibilities of DBMSs that existed only (and not always) on bigger machines previously. The description of a data base can be given, checked and modified at three levels (relational, network and physical). The data manipulation language allows any operation using the relational or the network model, by direct interpretation or from host precompiled application programs. The system automatically and transparently insures the data base's consistency, in any situation (user's error, conflict of access or hardware incident). Thanks to their low cost, their reliability and their ease of operation, such systems can be used for integrated office automation, business management in small companies or documentation centers, as well as in computer aided design installations or medical centers.

Describes the mapping of the GSM12.20 managed object templates into an entity-relationship datamodel as it is used in a commercial relational database system. From the resulting entity-relationship model, a logical design is derived for a relational database system, that forms the basis of its data dictionary. This mapping is currently used to construct a compiler that is able to translate specifications of managed object classes written in ASN.1 according to the templates of GSM12.20 into SQL DML (Data Manipulation Language) statements, that fill above mentioned data dictionary tables with descriptions of the managed object classes that are to be represented in the relational database system. The contents of the data dictionary will then be used in a semi-automatic process to construct the actual database model of the managed object instances. >

Data aggregation is a process of expressing information in a summary form for further interpretation using statistical analysis, machine learning or data mining. Almost every data manipulation language has built-in, standard or common capabilities to aggregate data. This paper overviews different concepts of expressing data aggregation in programming languages. Specifically, we overview data aggregation in declarative SQL-based languages like T-SQL, PL/SQL, PostgreSQL, MDX, Neo4j, imperative C# LINQ and R. These concepts affected our domain-specific query language which we designed and implemented for metallurgical production.

Proposes a query language, called MQL (Multimedia Query Language), for specifying and manipulating various types of multimedia information efficiently. The data models that describe the multimedia applications and varieties of media data types are established with the object-oriented notation. What the query language consists of can be separated into two parts: one is the data definition language and the other is the data manipulation language. In addition to common functions, MQL provides additional features, such as historical alternative multimedia matching queries, complex queries and nested queries. These functions satisfy most of the requirements of multimedia database querying. Consequently, MQL offers more powerful data access mechanisms for multimedia applications.