Query language, standard

SQL. SQL is the Structured Query Language standard promulgated by IBM. It is the de facto standard for relational data base management systems (RDBMSs). The standard defines the syntax of commands that can be used to access and retrieve information from data stored in one or more flat two-dimensional tables. Most... 

Another important feature of a LIMS DBMS is the abiUty to perform ad hoc database queries. It is impossible to predict all the forms in which LIMS users will want to display their data while the LIMS is being designed. As a result, it is desirable to select a LIMS which allows users to define their own reports. Most commercial DBMS have a standard query language (SQL) interface. SQL is a simple database query tool which is based on... 

Traditionally data, properties, information etc has been stored in files on computer disks. More recently, it has become common practice on Macintosh computers, when using Microsoft software or some UNIX applications, to use either extensions to the file name or the first few bytes in the file (or another file) to indicate some aspects of the data, for example that it is suitable for Microsoft Excel. While this approach is practical to indicate something about files containing columns of data, it is not appropriate to store information about the values in cells in spreadsheet or how it relates to data in other columns. This requires a relational database such as ORACLE, and for performance reasons the values in the cells may only be accessed via the ORACLE API (Application Programming Interface) or SQL (Standard Query Language), in other words, it is suggested that relational databases such as ORACLE should be viewed as sophisticated file systems which allow the values to be organised, efficiently stored, rapidly retrieved etc. 

The bottom line question that summarizes aU of these is, How does one design a data model and data description language to enable efficient and effective data acquisition, storage, and use There are many related questions one concerns the design of what are called standard query languages (SQLs) such that it is possible to design a specific DBMS for a given application. 

Q, R) model, 1671 QC, see Quality circle QCD (quality, cost, and delivery), 552 QFD, see Quality function deployment QFP (quad flat pack), 424 Q1 teams, see Quality improvement teams Q-leaming, 1780 QLs (query languages), 119 QMS standards, see Quality management systems standards QoS, see Quality of service QR system, see Quick response system QS 9000 standard, 1973 Quad flat pack (QFP), 424 Quadratic programming problems (constrained optimization), 2555, 2562 Quality. See also Rehabihty in advanced planning and scheduling (APS), 2049... 

ISO 9004-2000 standard, 1972 non-ISO standards, 1973 other ISO 9(XX) standards, 1972-1973 registration to, 1973-1974 U.S. standards, 1967-1968 Quality of service (QoS), 250, 1796 Quality pleuming, 1247 Quality policy, 1967 Qualysis AB, 1125 Quantdes, 2476, 2477 Quantitative forecasting models, 793 Quantity, production, 452 Quasi-Newton methods, 2551, 2553 Queries, 67, 81-82, 84, 2013 Query languages (QLs), 119... 

ORACLE is available in our company also on the VAX computer cluster. Figure 1 presents the major relevant functions. The kernel comprises all software for the management of the database and other parts of the system. Data are stored in a collection of tables described by a dictionary. A table consists of columns and rows. SQL (Structured Query Language), a standard query language, forms a shell round the kernel. Instructions for the kernel are passed down via SQL. 

The de facto standard for object-oriented databases is the proposal by the ODMG consortium of vendors. The ODMG standard languages are ODL, for definition, and OQL (which extends the query part of SQL), for querying. The standard also defines interfaces for a few widely used general-purpose languages. Figure 4 could be declared in ODL as shown in Fig. 12. 

A set of specifications providing the means to retrieve and manipulate information represented in RDF(S) (or OWL, respectively) is the SPARQL Protocol and RDF Query Language (World Wide Web Consortium 2013). The primary component of the standard is the SPARQL Query Language SPARQL is in many regards similar to the well-known Structured Query Language (SQL), which is supported by most relational database systems. 

One of the oldest types of database and still the most widespread. A relational database organizes the stored data items into tables in which the columns are fields of a specific type and the rows are data entries. The typical query language for relational databases is SQL (systems query language), which is powerful, well defined and, within the domain of the SQL standard, independent of the database vendor. See. Full-text Database Object-oriented Databa.se and Object-Relational Database. 

Chemical databases are not static libraries, archived forever with no interest in retrieval they are intended to be used. It is useful to pose questions about the contents of a database, and to retrieve example structures. These questions are phrased in a chemical language that is syntactically simple, but semantically rich. Usually, this query language is built on top of standard graphical chemical nomenclature, and augmented by features appropriate to the subdomain of chemistry represented in the database. 

Similarity to structured query language (SQL) In order to retrieve the model elements in a standard manner, model query language (MQL) is required. Such model query language can be used via user interface similar to SQL. 

Although there have been several commercial deductive database systems, these have yet to have a significant commercial impact. However, some of the features of deductive languages, for example, relating to recursive query processing, are beginning to be adopted by relational vendors, and are part of the SQL-99 standard. 

The initial diffusion of MDA was focused on its relation with UML as modeling language. However, there are UML users who do not use MDA, and MDA users who use other modeling languages such as some DSL (Domain Specific Language). The essence of MDA is the meta-metamodel MOF (Meta Object Facility) that allows different kinds of artifacts from multiple vendors to be used together in a same project (MOF, 2006). The MOF 2.0 Query, View, Transformation (QVT) metamodel is the standard for expressing transformations (QVT, 2008). 

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