Why Are There No Relational Dbmss?
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LINGI2172 Databases 2013-2014
Université Catholique de Louvain - DESCRIPTIF DE COURS 2013-2014 - LINGI2172 LINGI2172 Databases 2013-2014 6.0 crédits 30.0 h + 30.0 h 2q Enseignants: Lambeau Bernard ; Langue Français d'enseignement: Lieu du cours Louvain-la-Neuve Ressources en ligne: > http://icampus.uclouvain.be/claroline/course/index.php?cid=lingi2172 Préalables : Basic knowledge of database management, good abilities in programming. Thèmes abordés : * Data Base Management Systems (objectives, requirements, architecture). * The Relational data model (formal theory, first-order logic, constraints). * Conceptual models (entity-relationship, object role modeling). * Logical database design (normal forms & mp; normalization, ER-To-Relational) * Physical database design and storage (tables and keys, indexes, file structures). * Querying databases (Relational Algebra, Relational Calculus, Tutorial D, SQL) * ACID properties (Atomicity, Consistency, Isolation, Durability), Concurrency Control, Recovery techniques. * Programming database applications (JDBC, Database Cursors, Object-Relational Mapping, Relations as First-class Citizen). * Recent or more advanced trends in the database field (object-oriented databases, Big Data, NoSQL, NewSQL) Acquis Students completing this course successfully will be able to : * Explain the scenarios in which using a database is more convenient than programming with data files; d'apprentissage * Explain the characteristics of the database approach, where they come from and contrast them with current trends in the database field-- Identify and describe the main functions of a database management system; * Categorize conceptual, logical and physical data models based on the concepts they provide to describe the database structure; * Understand the main principles and mathematical theory of the relational approach to database management; * Design databases using a systematic approach, from a conceptual model through a logical level (i.e., a relational schema) into a physical model (i.e., tables and indexes); * Use SQL (DDL) to implement a relational database schema. -
A Framework for Ontology-Based Library Data Generation, Access and Exploitation
Universidad Politécnica de Madrid Departamento de Inteligencia Artificial DOCTORADO EN INTELIGENCIA ARTIFICIAL A framework for ontology-based library data generation, access and exploitation Doctoral Dissertation of: Daniel Vila-Suero Advisors: Prof. Asunción Gómez-Pérez Dr. Jorge Gracia 2 i To Adelina, Gustavo, Pablo and Amélie Madrid, July 2016 ii Abstract Historically, libraries have been responsible for storing, preserving, cata- loguing and making available to the public large collections of information re- sources. In order to classify and organize these collections, the library commu- nity has developed several standards for the production, storage and communica- tion of data describing different aspects of library knowledge assets. However, as we will argue in this thesis, most of the current practices and standards available are limited in their ability to integrate library data within the largest information network ever created: the World Wide Web (WWW). This thesis aims at providing theoretical foundations and technical solutions to tackle some of the challenges in bridging the gap between these two areas: library science and technologies, and the Web of Data. The investigation of these aspects has been tackled with a combination of theoretical, technological and empirical approaches. Moreover, the research presented in this thesis has been largely applied and deployed to sustain a large online data service of the National Library of Spain: datos.bne.es. Specifically, this thesis proposes and eval- uates several constructs, languages, models and methods with the objective of transforming and publishing library catalogue data using semantic technologies and ontologies. In this thesis, we introduce marimba-framework, an ontology- based library data framework, that encompasses these constructs, languages, mod- els and methods. -
SQL from Wikipedia, the Free Encyclopedia Jump To: Navigation
SQL From Wikipedia, the free encyclopedia Jump to: navigation, search This article is about the database language. For the airport with IATA code SQL, see San Carlos Airport. SQL Paradigm Multi-paradigm Appeared in 1974 Designed by Donald D. Chamberlin Raymond F. Boyce Developer IBM Stable release SQL:2008 (2008) Typing discipline Static, strong Major implementations Many Dialects SQL-86, SQL-89, SQL-92, SQL:1999, SQL:2003, SQL:2008 Influenced by Datalog Influenced Agena, CQL, LINQ, Windows PowerShell OS Cross-platform SQL (officially pronounced /ˌɛskjuːˈɛl/ like "S-Q-L" but is often pronounced / ˈsiːkwəl/ like "Sequel"),[1] often referred to as Structured Query Language,[2] [3] is a database computer language designed for managing data in relational database management systems (RDBMS), and originally based upon relational algebra. Its scope includes data insert, query, update and delete, schema creation and modification, and data access control. SQL was one of the first languages for Edgar F. Codd's relational model in his influential 1970 paper, "A Relational Model of Data for Large Shared Data Banks"[4] and became the most widely used language for relational databases.[2][5] Contents [hide] * 1 History * 2 Language elements o 2.1 Queries + 2.1.1 Null and three-valued logic (3VL) o 2.2 Data manipulation o 2.3 Transaction controls o 2.4 Data definition o 2.5 Data types + 2.5.1 Character strings + 2.5.2 Bit strings + 2.5.3 Numbers + 2.5.4 Date and time o 2.6 Data control o 2.7 Procedural extensions * 3 Criticisms of SQL o 3.1 Cross-vendor portability * 4 Standardization o 4.1 Standard structure * 5 Alternatives to SQL * 6 See also * 7 References * 8 External links [edit] History SQL was developed at IBM by Donald D. -
DATABASE and KNOWLEDGE-BASE SYSTEMS VOLUME I: CLASSICAL DATABASE SYSTEMS Jeffrey D
PRINCIPLES OF DATABASE AND KNOWLEDGE-BASE SYSTEMS VOLUME I: CLASSICAL DATABASE SYSTEMS Jeffrey D. Ullman STANFORD UNIVERSITY COMPUTER SCIENCE PRESS TABLE OF CONTENTS Chapter 1: Databases, Object Bases, and Knowledge Bases 1.1: The Capabilities of a DBMS 2 1.2: Basic Database System Terminology 7 1.3: Database Languages 12 1.4: Modern Database System Applications 18 1.5: Object-base Systems 21 1.6: Knowledge-base Systems 23 1.7: History and Perspective 28 Bibliographie Notes 29 Chapter 2: Data Models for Database Systems 32 2.1: Data Models 32 2.2: The Entity-relationship Model 34 2.3: The Relational Data Model 43 2.4: Operations in the Relational Data Model 53 2.5: The Network Data Model 65 2.6: The Hierarchical Data Model 72 2.7: An Object-Oriented Model 82 Exercises 87 Bibliographie Notes 94 Chapter 3: Logic as a Data Model 96 3.1: The Meaning of Logical Rules 96 3.2: The Datalog Data Model 100 3.3: Evaluating Nonrecursive Rules 106 3.4: Computing the Meaning of Recursive Rules 115 3.5: Incremental Evaluation of Least Fixed Points 124 3.6: Negations in Rule Bodies 128 3.7: Relational Algebra and Logic 139 3.8: Relational Calculus 145 3.9: Tuple Relational Calculus 156 3.10: The Closed World Assumption 161 Exercises 164 Bibliographie Notes 171 VIII TABLE OF CONTENTS Chapter 4: Relational Query Languages 174 4.1: General Remarks Regarding Query Languages 174 4.2: ISBL: A "Pure" Relational Algebra Language 177 4.3: QUEL: A Tuple Relational Calculus Language 185 4.4: Query-by-Example: A DRC Language 195 4.5: Data Definition in QBE 207 4.6: -
Datalog Educational System V4.2 User's Manual
Universidad Complutense de Madrid Datalog Educational System Datalog Educational System V4.2 User’s Manual Fernando Sáenz-Pérez Grupo de Programación Declarativa (GPD) Departamento de Ingeniería del Software e Inteligencia Artificial (DISIA) Universidad Complutense de Madrid (UCM) September, 25th, 2016 Fernando Sáenz-Pérez 1/341 Universidad Complutense de Madrid Datalog Educational System Copyright (C) 2004-2016 Fernando Sáenz-Pérez Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in Appendix A, in the section entitled " Documentation License ". Fernando Sáenz-Pérez 2/341 Universidad Complutense de Madrid Datalog Educational System Contents 1. Introduction........................................................................................................................... 9 1.1 Novel Extensions in DES ......................................................................................... 10 1.2 Highlights for the Current Version ........................................................................ 11 1.3 Features of DES in Short .......................................................................................... 11 1.4 Future Enhancements............................................................................................... 14 1.5 Related Work............................................................................................................ -
Relational Database Management System
Relational database management system A relational database management system (RDBMS) is a database management system (DBMS) based on the relational model invented by Edgar F. Codd, of IBM's San Jose Research Laboratory fame. Most databases in widespread use today are based on his relational database model.[1] RDBMSs have been a common choice for the storage of information in databases used for financial records, manufacturing and logistical information, personnel data, and other applications since the 1980s. Relational databases have often replaced legacy hierarchical databases and network databases because, they were easier to implement and administer. Nonetheless, relational databases received continued, The general structure of a relational unsuccessful challenges by object database management systems in the 1980s and database. 1990s, (which were introduced in an attempt to address the so-called object- relational impedance mismatch between relational databases and object-oriented application programs), as well as by XML database management systems in the 1990s. However, due to the expanse of technologies, such as horizontal scaling of computer clusters, NoSQL databases have recently begun to peck away at the market share of RDBMSs.[2] Contents Market share History Historical usage of the term See also References Market share According to DB-Engines, in May 2017, the most widely used systems are Oracle, MySQL (open source), Microsoft SQL Server, PostgreSQL (open source), IBM DB2, Microsoft Access, and SQLite (open source).[3] According to research company Gartner, in 2011, the five leading commercial relational database vendors by revenue were Oracle (48.8%), IBM (20.2%), Microsoft (17.0%), SAP including Sybase (4.6%), and Teradata (3.7%).[4] History In 1974, IBM began developing System R, a research project to develop a prototype RDBMS.[5][6] However, the first commercially available RDBMS was Oracle, released in 1979 by Relational Software, now Oracle Corporation.[7] Other examples of an RDBMS include DB2, SAP Sybase ASE, and Informix. -
Up to a Point, Lord Copper
copper.html Up to a Point, Lord Copper A response to Tom Johnston's article,"More to the Point" (Database Programming & Design, October 24th, 1995) by C. J. Date, Hugh Darwen, and David McGoveran Tom Johnston's recent article "More to the Point" [2] was a response to a critique by the present authors [3] of an earlier two-part article by Johnston [4] in support of many-valued logic. What follows is a response to that response. We begin with a slightly edited excerpt from that letter. (Note: Following normal convention, we use MVL, 2VL, 3VL, ... throughout this paper to stand for many-valued logic, two-valued logic, three-valued logic (and so on). Our comments tend to focus on 3VL specifically, though they often apply, sometimes with even more force, to 4VL, 5VL, and the rest.) "Probably many readers are bored to tears with this whole subject. Certainly the editor of Database Programming & Design seems to think so; in his introduction to our previous critique, he wrote: '[Johnston's response to this critique] will appear [soon] ... With that, we'll all shake hands and end this chapter of The Great MVL Debate.' Would that we could! But Johnston's response simply cries out for further rebuttal. The sad truth is that the topic of our debate is fundamentally important. What's more, it isn't going to go away (indeed, nor should it), so long as MVL advocates such as Johnston fail even to address-let alone answer-our many serious and well-founded objections to their position. -
A Query Facility for Allegro Redacted for Privacy Abstract Approved: Earl F
AN ABSTRACT OF THE THESIS OF Richard Goodemoot for the degree of Master of Science in Computer Science presented on June 11 1986. Title: A Query Facility for Allegro Redacted for Privacy Abstract approved: Earl F. Ecklund, Jr. Allegro is a network database management system being developed at Oregon State University. This project adds a user friendly query facility to the system. The user is presented with pictorial display of the network records and a query interface modeled on the QueryByExample system.By request the user may be shown the network sets of the queryschema. When necessary the user may specify query navigationofthe network schema. While implemented and functional, this facility should be considered as a feasibility study for a full query system on a network data base. To provide the desired display this facility is implemented on a system separate from the main Allegro system and uses a communication interface to it. This facility is a Smalitalk implementation. A Query Facility for Allegro by Richard Goodemoot A THESIS submitted to Oregon State University In partial fulfillment of the requirements for the degree of Master of Science Completed June 11, 1986 Commencement June 1987 APPROVED: / Redacted for Privacy Adjunct Professor of Computer Science in Charge of Major Redacted for Privacy on behalf of Walter Rudd Chairman of Department of Computer Science Redacted for Privacy Dean of Gradtfate School Date thesis is presented June 11, 1986 Typed by Richard Goodemoot TABLE OF CONTENTS Page 1 INTRODUCTION 1 1.1 Network Database -
How to Handle Missing Information Without Using NULL
How To Handle Missing Information Without Using NULL Hugh Darwen [email protected] www.TheThirdManifesto.com First presentation: 09 May 2003, Warwick University Updated 27 September 2006 “Databases, Types, and The Relational Model: The Third Manifesto”, by C.J. Date and Hugh Darwen (3rd edition, Addison-Wesley, 2005), contains a categorical proscription against support for anything like SQL’s NULL, in its blueprint for relational database language design. The book, however, does not include any specific and complete recommendation as to how the problem of “missing information” might be addressed in the total absence of nulls. This presentation shows one way of doing it, assuming the support of a DBMS that conforms to The Third Manifesto (and therefore, we claim, to The Relational Model of Data). It is hoped that alternative solutions based on the same assumption will be proposed so that comparisons can be made. 1 Dedicated to Edgar F. Codd 1923-2003 Ted Codd, inventor of the Relational Model of Data, died on April 18th, 2003. A tribute by Chris Date can be found at http://www.TheThirdManifesto.com. 2 SQL’s “Nulls” Are A Disaster No time to explain today, but see: Relational Database Writings 1985-1989 by C.J.Date with a special contribution by H.D. ( as Andrew Warden) Relational Database Writings 1989-1991 by C.J.Date with Hugh Darwen Relational Database Writings 1991-1994 by C.J.Date Relational Database Writings 1994-1997 by C.J.Date Introduction to Database Systems (8th edition ) by C.J. Date Databases, Types, and The Relational Model: The Third Manifesto by C.J. -
LINGI2172 Databases 2014-2015
Université Catholique de Louvain - COURSES DESCRIPTION FOR 2014-2015 - LINGI2172 LINGI2172 Databases 2014-2015 6.0 credits 30.0 h + 30.0 h 2q Teacher(s) : Lambeau Bernard ; Language : Français Place of the course Louvain-la-Neuve Inline resources: > http://icampus.uclouvain.be/claroline/course/index.php?cid=lingi2172 Main themes : -- Data Base Management Systems (objectives, requirements, architecture). -- The Relational data model (formal theory, first-order logic, constraints). -- Conceptual models (entity-relationship, object role modeling). -- Logical database design (normal forms & mp; normalization, ER-To-Relational) -- Physical database design and storage (tables and keys, indexes, file structures). -- Querying databases (Relational Algebra, Relational Calculus, Tutorial D, SQL) -- ACID properties (Atomicity, Consistency, Isolation, Durability), Concurrency Control, Recovery techniques. -- Programming database applications (JDBC, Database Cursors, Object-Relational Mapping, Relations as First-class Citizen). -- Recent or more advanced trends in the database field (object-oriented databases, Big Data, NoSQL, NewSQL) Aims : Given the learning outcomes of the "Master in Computer Science and Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes: -- INFO1.1-3 -- INFO2.1-4 -- INFO4.1-4 -- INFO5.1-5 -- INFO6.1, INFO6.4 Given the learning outcomes of the "Master [120] in Computer Science" program, this course contributes to the development, acquisition and evaluation -
(12) United States Patent (10) Patent No.: US 8.458,105 B2 Nolan Et Al
USOO84581 05B2 (12) United States Patent (10) Patent No.: US 8.458,105 B2 Nolan et al. (45) Date of Patent: Jun. 4, 2013 (54) METHOD AND APPARATUS FOR 5,215.426 A 6/1993 Bills, Jr. ANALYZING AND INTERRELATING DATA 5,327.254. A 7/1994 Daher 5,689,716 A 11, 1997 Chen 5,694,523 A 12, 1997 Wical (75) Inventors: James J. Nolan, Springfield, VA (US); 5,708,822 A 1, 1998 Wical Mark E. Frymire, Arlington, VA (US); 5,798,786 A 8, 1998 Lareau et al. Andrew F. David, Ft. Belvoir, VA (US) 5,841,895 A 1 1/1998 Huffman 5,884,305 A 3/1999 Kleinberg et al. (73) Assignee: Decisive Analytics Corporation, 5,903,307 A 5/1999 Hwang Arlington, VA (US) 5,930,788 A 7, 1999 Wical glon, 5,953,718 A 9, 1999 Wical 6,009,587 A 1/2000 Beeman (*) Notice: Subject to any disclaimer, the term of this 6,052,657 A 4/2000 Yamron et al. patent is extended or adjusted under 35 6,064,952 A 5/2000 Imanaka et al. U.S.C. 154(b) by 771 days. 6,073,138 A 6/2000 de l'Etraz et al. 6,085,186 A 7/2000 Christianson et al. 6,173,279 B1 1/2001 Levin et al. (21) Appl. No.: 12/548,888 6,181,711 B1 1/2001 Zhang et al. 6,185,531 B1 2/2001 Schwartz et al. (22) Filed: Aug. 27, 2009 6,199,034 B1 3, 2001 Wical (65) Prior Publication Data (Continued) US 2010/0205128A1 Aug. -
Database Management Systems Ebooks for All Edition (
Database Management Systems eBooks For All Edition (www.ebooks-for-all.com) PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Sun, 20 Oct 2013 01:48:50 UTC Contents Articles Database 1 Database model 16 Database normalization 23 Database storage structures 31 Distributed database 33 Federated database system 36 Referential integrity 40 Relational algebra 41 Relational calculus 53 Relational database 53 Relational database management system 57 Relational model 59 Object-relational database 69 Transaction processing 72 Concepts 76 ACID 76 Create, read, update and delete 79 Null (SQL) 80 Candidate key 96 Foreign key 98 Unique key 102 Superkey 105 Surrogate key 107 Armstrong's axioms 111 Objects 113 Relation (database) 113 Table (database) 115 Column (database) 116 Row (database) 117 View (SQL) 118 Database transaction 120 Transaction log 123 Database trigger 124 Database index 130 Stored procedure 135 Cursor (databases) 138 Partition (database) 143 Components 145 Concurrency control 145 Data dictionary 152 Java Database Connectivity 154 XQuery API for Java 157 ODBC 163 Query language 169 Query optimization 170 Query plan 173 Functions 175 Database administration and automation 175 Replication (computing) 177 Database Products 183 Comparison of object database management systems 183 Comparison of object-relational database management systems 185 List of relational database management systems 187 Comparison of relational database management systems 190 Document-oriented database 213 Graph database 217 NoSQL 226 NewSQL 232 References Article Sources and Contributors 234 Image Sources, Licenses and Contributors 240 Article Licenses License 241 Database 1 Database A database is an organized collection of data.