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| databases in computer science: Introduction to Databases Peter Revesz, 2010-01-11 Introduced forty years ago, relational databases proved unusually succe- ful and durable. However, relational database systems were not designed for modern applications and computers. As a result, specialized database systems now proliferate trying to capture various pieces of the database market. Database research is pulled into di?erent directions, and speci- ized database conferences are created. Yet the current chaos in databases is likely only temporary because every technology, including databases, becomes standardized over time. The history of databases shows periods of chaos followed by periods of dominant technologies. For example, in the early days of computing, users stored their data in text ?les in any format and organization they wanted. These early days were followed by information retrieval systems, which required some structure for text documents, such as a title, authors, and a publisher. The information retrieval systems were followed by database systems, which added even more structure to the data and made querying easier. In the late 1990s, the emergence of the Internet brought a period of relative chaos and interest in unstructured and “semistructured data” as it wasenvisionedthateverywebpagewouldbelikeapageinabook.However, with the growing maturity of the Internet, the interest in structured data was regained because the most popular websites are, in fact, based on databases. The question is not whether future data stores need structure but what structure they need. |
| databases in computer science: Concise Guide to Databases Peter Lake, Paul Crowther, 2013-11-22 This easy-to-read textbook/reference presents a comprehensive introduction to databases, opening with a concise history of databases and of data as an organisational asset. As relational database management systems are no longer the only database solution, the book takes a wider view of database technology, encompassing big data, NoSQL, object and object-relational and in-memory databases. The text also examines the issues of scalability, availability, performance and security encountered when building and running a database in the real world. Topics and features: presents review and discussion questions at the end of each chapter, in addition to skill-building, hands-on exercises; introduces the fundamental concepts and technologies in database systems, placing these in an historic context; describes the challenges faced by database professionals; reviews the use of a variety of database types in business environments; discusses areas for further research within this fast-moving domain. |
| databases in computer science: Active Rules in Database Systems Norman W. Paton, 2012-09-07 A timely survey of the field from the point of view of some of the subject's most active researchers. Divided into several parts organized by theme, the book first covers the underlying methodology regarding active rules, followed by formal specification, rule analysis, performance analysis, and support tools. It then moves on to the implementation of active rules in a number of commercial systems, before concluding with applications and future directions for research. All researchers in databases will find this a valuable overview of the topic. |
| databases in computer science: An Introduction to Databases with Web Applications Martyn Prigmore, 2007-11 Connecting databases to the world wide web is an increasingly important skill for computer scientists and MIS/BIS as the WWW breaks down the traditional barriers of information sharing across organisations, allowing this vital process to be done cheaply and efficiently. Traditional database books present database design with any material on web-applications being a tackled later, almost as an afterthought. Similarly, web-development books may gloss over databases in a single chapter on SQL. This book discusses database development but always in the context of the web. Thus it gives a genuine understanding of how to implement web databases rather than presenting one field and simply trying to 'bolt-on' the other afterwards. That said, it covers the core concepts of a traditional database design course and so offers the flexibility of learning database design separate from the web applications if desired. Scripting is covered first so that, should the reader want to get the web context from the start, they understand how their application will be implemented before trying to design it. |
| databases in computer science: Concise Guide to Databases Konstantinos Domdouzis, Peter Lake, Paul Crowther, 2021-05-20 Modern businesses depend on data for their very survival, creating a need for sophisticated databases and database technologies to help store, organise and transport their valuable data. This updated and expanded, easy-to-read textbook/reference presents a comprehensive introduction to databases, opening with a concise history of databases and of data as an organisational asset. As relational database management systems are no longer the only database solution, the book takes a wider view of database technology, encompassing big data, NoSQL, object and object-relational, and in-memory databases. Presenting both theoretical and practical elements, the new edition also examines the issues of scalability, availability, performance and security encountered when building and running a database in the real world. Topics and features: Presents review and discussion questions at the end of each chapter, in addition to skill-building, hands-on exercises Provides new material on database adaptiveness, integration, and efficiency in relation to data growth Introduces a range of commercial databases and encourages the reader to experiment with these in an associated learning environment Reviews use of a variety of databases in business environments, including numerous examples Discusses areas for further research within this fast-moving domain With its learning-by-doing approach, supported by both theoretical and practical examples, this clearly-structured textbook will be of great value to advanced undergraduate and postgraduate students of computer science, software engineering, and information technology. Practising database professionals and application developers will also find the book an ideal reference that addresses today's business needs. |
| databases in computer science: Database Systems in Science and Engineering J.R Rumble, F.J Smith, 1990-01-01 Computerized databases provide a powerful everyday tool for data handling by scientists and engineers. However, the unique nature of many technical tasks requires a specialized approach to make use of the many powerful commercial database tools now available. Using these tools has proved difficult because database technology is often shrouded in layers of jargon. An essential guide for scientists and engineers who use computers to avoid drowning in a flood of data, Database Systems in Science and Engineering dispels the myths associated with database design and breaks the barriers to successful databases. Using the language of scientists and engineers, this book explains concepts and problems, offers practical steps and solutions, and provides new ideas for better data handling. The first part of the book presents an overview of technical databases using examples taken from real applications and the current state of technical databases. The second part covers the computer implementation of technical databases, including examples and the necessary computer science theory to form a sound background. The authors confront the many difficulties that arise in the design and implementation of a realistic database and offer solutions to these challenges. Before beginning any database project, scientists and engineers should read this book to understand how to make every database project successful through careful planning, good design, and efficient use of database tools. |
| databases in computer science: Computer Science National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on the Fundamentals of Computer Science: Challenges and Opportunities, 2004-10-06 Computer Science: Reflections on the Field, Reflections from the Field provides a concise characterization of key ideas that lie at the core of computer science (CS) research. The book offers a description of CS research recognizing the richness and diversity of the field. It brings together two dozen essays on diverse aspects of CS research, their motivation and results. By describing in accessible form computer science's intellectual character, and by conveying a sense of its vibrancy through a set of examples, the book aims to prepare readers for what the future might hold and help to inspire CS researchers in its creation. |
| databases in computer science: Inside Relational Databases with Examples in Access Mark Whitehorn, Bill Marklyn, 2007-04-06 Contents Should we tell you the whole story? Of course, there is an inevitable tension in trying to work like this. For example, in Chapter 16 we talk about referential integrity. There are - sentially six different flavors of referential integrity but Access only s- ports four of them (they are the most important ones however, so you aren’t missing out on too much). The problem is this. Should we tell you about the other two? If we do, as an Access user you have every right to be annoyed that we are telling you about a feature you can’t use. On the other hand, the six different types that we describe are part of the re- tional world and this book is about that world – we are not trying to teach you how to use Access, we are simply using Access to illustrate the relational model. Ultimately we decided to risk your ire and to describe all of the features of the relational model as we see it, even if Access doesn’t support all of them. One advantage of this approach is that if you need to use a different database engine you will almost certainly find the extra information useful. Incidentally, this is not meant to imply that Access is somehow lacking as a relational database engine. The reason we chose it for the first book is that it is such a good example of a relational database tool. |
| databases in computer science: Database Design and Implementation Edward Sciore, 2020-02-27 This textbook examines database systems from the viewpoint of a software developer. This perspective makes it possible to investigate why database systems are the way they are. It is of course important to be able to write queries, but it is equally important to know how they are processed. We e.g. don’t want to just use JDBC; we also want to know why the API contains the classes and methods that it does. We need a sense of how hard is it to write a disk cache or logging facility. And what exactly is a database driver, anyway? The first two chapters provide a brief overview of database systems and their use. Chapter 1 discusses the purpose and features of a database system and introduces the Derby and SimpleDB systems. Chapter 2 explains how to write a database application using Java. It presents the basics of JDBC, which is the fundamental API for Java programs that interact with a database. In turn, Chapters 3-11 examine the internals of a typical database engine. Each chapter covers a different database component, starting with the lowest level of abstraction (the disk and file manager) and ending with the highest (the JDBC client interface); further, the respective chapter explains the main issues concerning the component, and considers possible design decisions. As a result, the reader can see exactly what services each component provides and how it interacts with the other components in the system. By the end of this part, s/he will have witnessed the gradual development of a simple but completely functional system. The remaining four chapters then focus on efficient query processing, and focus on the sophisticated techniques and algorithms that can replace the simple design choices described earlier. Topics include indexing, sorting, intelligent buffer usage, and query optimization. This text is intended for upper-level undergraduate or beginning graduate courses in Computer Science. It assumes that the reader is comfortable with basic Java programming; advanced Java concepts (such as RMI and JDBC) are fully explained in the text. The respective chapters are complemented by “end-of-chapter readings” that discuss interesting ideas and research directions that went unmentioned in the text, and provide references to relevant web pages, research articles, reference manuals, and books. Conceptual and programming exercises are also included at the end of each chapter. Students can apply their conceptual knowledge by examining the SimpleDB (a simple but fully functional database system created by the author and provided online) code and modifying it. |
| databases in computer science: Distributed Database Systems David A. Bell, Jane B. Grimson, 1992 This book adopts a practical approach, reviewing the fundamentals of database technology and developments in data communications (including standards) before reviewing the principles of distributed DB systems. It includes case studies of the leading products. |
| databases in computer science: Readings in Database Systems Joseph M. Hellerstein, Michael Stonebraker, 2005 The latest edition of a popular text and reference on database research, with substantial new material and revision; covers classical literature and recent hot topics. Lessons from database research have been applied in academic fields ranging from bioinformatics to next-generation Internet architecture and in industrial uses including Web-based e-commerce and search engines. The core ideas in the field have become increasingly influential. This text provides both students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area--the basic material for any DBMS professional. This fourth edition has been substantially updated and revised, with 21 of the 48 papers new to the edition, four of them published for the first time. Many of the sections have been newly organized, and each section includes a new or substantially revised introduction that discusses the context, motivation, and controversies in a particular area, placing it in the broader perspective of database research. Two introductory articles, never before published, provide an organized, current introduction to basic knowledge of the field; one discusses the history of data models and query languages and the other offers an architectural overview of a database system. The remaining articles range from the classical literature on database research to treatments of current hot topics, including a paper on search engine architecture and a paper on application servers, both written expressly for this edition. The result is a collection of papers that are seminal and also accessible to a reader who has a basic familiarity with database systems. |
| databases in computer science: Database System Implementation Garcia-Molina, 2000-09 |
| databases in computer science: Encyclopedia of Database Technologies and Applications Rivero, Laura C., Doorn, Jorge Horacio, Ferraggine, Viviana E., 2005-06-30 Addresses the evolution of database management, technologies and applications along with the progress and endeavors of new research areas.--P. xiii. |
| databases in computer science: Distributed and Multi-database Systems Angelo R. Bobak, 1995 Regardless of your database experience, Distributed and Multi-Database Systems provides the foundation and understanding necessary for proper design of databases for today's distributed and multi-database architectures. Introductory chapters help novices understand essential topics such as SQL, relational databases, transaction processing, and deadlock detection. Subsequent sections dealing with homogeneous, distributed databases, heterogenous multi-databases, and federated databases apply information discussed in earlier chapters enasbling readers to understand the complexities of distributed database design. Packed with over 200 illustrations, 50 equations, and two full chapters of examples, the book also includes discussions on objefct-oriented databases, which form an integral part of any database. |
| databases in computer science: Distributed Databases Stefano Ceri, 2017 |
| databases in computer science: Probabilistic Databases Dan Suciu, Dan Olteanu, Christoph Koch, 2011 Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of uncertain data, which are best modeled and processed by a probabilistic database. This book presents the state of the art in representation formalisms and query processing techniques for probabilistic data. It starts by discussing the basic principles for representing large probabilistic databases, by decomposing them into tuple-independent tables, block-independent-disjoint tables, or U-databases. Then it discusses two classes of techniques for query evaluation on probabilistic databases. In extensional query evaluation, the entire probabilistic inference can be pushed into the database engine and, therefore, processed as effectively as the evaluation of standard SQL queries. The relational queries that can be evaluated this way are called safe queries. In intensional query evaluation, the probabilistic inference is performed over a propositional formula called lineage expression: every relational query can be evaluated this way, but the data complexity dramatically depends on the query being evaluated, and can be #P-hard. The book also discusses some advanced topics in probabilistic data management such as top-k query processing, sequential probabilistic databases, indexing and materialized views, and Monte Carlo databases. Table of Contents: Overview / Data and Query Model / The Query Evaluation Problem / Extensional Query Evaluation / Intensional Query Evaluation / Advanced Techniques |
| databases in computer science: Database Technologies: Concepts, Methodologies, Tools, and Applications Erickson, John, 2009-02-28 This reference expands the field of database technologies through four-volumes of in-depth, advanced research articles from nearly 300 of the world's leading professionals--Provided by publisher. |
| databases in computer science: Logics for Databases and Information Systems Jan Chomicki, Gunter Saake, 1998-03-31 Time is ubiquitous in information systems. Almost every enterprise faces the problem of its data becoming out of date. However, such data is often valu able, so it should be archived and some means to access it should be provided. Also, some data may be inherently historical, e.g., medical, cadastral, or ju dicial records. Temporal databases provide a uniform and systematic way of dealing with historical data. Many languages have been proposed for tem poral databases, among others temporal logic. Temporal logic combines ab stract, formal semantics with the amenability to efficient implementation. This chapter shows how temporal logic can be used in temporal database applica tions. Rather than presenting new results, we report on recent developments and survey the field in a systematic way using a unified formal framework [GHR94; Ch094]. The handbook [GHR94] is a comprehensive reference on mathematical foundations of temporal logic. In this chapter we study how temporal logic is used as a query and integrity constraint language. Consequently, model-theoretic notions, particularly for mula satisfaction, are of primary interest. Axiomatic systems and proof meth ods for temporal logic [GHR94] have found so far relatively few applications in the context of information systems. Moreover, one needs to bear in mind that for the standard linearly-ordered time domains temporal logic is not re cursively axiomatizable [GHR94]' so recursive axiomatizations are by necessity incomplete. |
| databases in computer science: Funding a Revolution National Research Council, Computer Science and Telecommunications Board, Committee on Innovations in Computing and Communications: Lessons from History, 1999-02-11 The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it. |
| databases in computer science: The Complete Guide to Java Database Programming Matthew D. Siple, 1998 Presenting the complete, in-depth guide to JDBC (Java Database Connectivity)--the key to creating a new generation of data-rich Java applications, and the new standard that database vendors from Oracle to Sybase are lining up to support. North explains the how-to's of JDBC and covers its relationship with ODBC. The CD contains sample code written to the JDBC and ODBC APIs. |
| databases in computer science: Introduction to Databases Peter Revesz, 2009-12-12 Introduced forty years ago, relational databases proved unusually succe- ful and durable. However, relational database systems were not designed for modern applications and computers. As a result, specialized database systems now proliferate trying to capture various pieces of the database market. Database research is pulled into di?erent directions, and speci- ized database conferences are created. Yet the current chaos in databases is likely only temporary because every technology, including databases, becomes standardized over time. The history of databases shows periods of chaos followed by periods of dominant technologies. For example, in the early days of computing, users stored their data in text ?les in any format and organization they wanted. These early days were followed by information retrieval systems, which required some structure for text documents, such as a title, authors, and a publisher. The information retrieval systems were followed by database systems, which added even more structure to the data and made querying easier. In the late 1990s, the emergence of the Internet brought a period of relative chaos and interest in unstructured and “semistructured data” as it wasenvisionedthateverywebpagewouldbelikeapageinabook.However, with the growing maturity of the Internet, the interest in structured data was regained because the most popular websites are, in fact, based on databases. The question is not whether future data stores need structure but what structure they need. |
| databases in computer science: Logic Programming and Databases Stefano Ceri, Georg Gottlob, Letizia Tanca, 2012-12-06 The topic of logic programming and databases. has gained in creasing interest in recent years. Several events have marked the rapid evolution of this field: the selection, by the Japanese Fifth Generation Project, of Prolog and of the relational data model as the basis for the development of new machine archi tectures; the focusing of research in database theory on logic queries and on recursive query processing; and the pragmatic, application-oriented development of expert database systems and of knowledge-base systems. As a result, an enormous amount of work has been produced in the recent literature, coupled with the spontaneous growth of several advanced projects in this area. The goal of this book is to present a systematic overview of a rapidly evolving discipline, which is presently not described with the same approach in other books. We intend to introduce stu dents and researchers to this new discipline; thus we use a plain, tutorial style, and complement the description of algorithms with examples and exercises. We attempt to achieve a balance be tween theoretical foundations and technological issues; thus we present a careful introduction to the new language Datalog, but we also focus on the efficient interfacing of logic programming formalisms (such as Prolog and Datalog) with large databases. |
| databases in computer science: Fundamentals of Database Management Systems Mark L. Gillenson, 2011-12-06 Gillenson's new edition of Fundamentals of Database Management Systems provides concise coverage of the fundamental topics necessary for a deep understanding of the basics. In this issue, there is more emphasis on a practical approach, with new your turn boxes and much more coverage in a separate supplement on how to implement databases with Access. In every chapter, the author covers concepts first, then show how they're implemented in continuing case(s.) Your Turn boxes appear several times throughout the chapter to apply concepts to projects. And Concepts in Action boxes contain examples of concepts used in practice. This pedagogy is easily demonstrable and the text also includes more hands-on exercises and projects and a standard diagramming style for the data modeling diagrams. Furthermore, revised and updated content and organization includes more coverage on database control issues, earlier coverage of SQL, and new coverage on data quality issues. |
| databases in computer science: Principles of Database Management Wilfried Lemahieu, Seppe vanden Broucke, Bart Baesens, 2018-07-12 Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science. |
| databases in computer science: Computer Science & Technology Michael L. Brodie, 1980 |
| databases in computer science: Journal of Database Management ( Vol 23 ISS 1) Keng Siau, 2011-12 |
| databases in computer science: Java Database Programming Brian Jepson, 1996-11-22 A complete guide to mastering the next generation of database programming technologies Java Database Programming teaches you the critical new Java database technologies and tools, including Sun Microsystems' Java Database Connectivity (JDBC) standard. You'll learn practical, step-by-step techniques with which you can harness the Java programming language. You will also learn how to create dynamic database applications and applets in both Internet and Intranet environments. Java Database Programming explains: How Java programs access online databases Integrating Java with networked database technologies Programming with JDBC How to develop JDBC drivers Java database tools and code libraries Java Database Programming is the innovative and hands-on book that will enable you to apply Java to real-world Internet and Intranet development. On the Java Database Programming supporting Web site, you'll find: tinySQL, a generic and extendable SQL engine written in Java The tinySQL JDBC driver Customizable Java database code Visit our Web site at: http://www.wiley.com/compbooks/ |
| databases in computer science: Introduction To Database And Knowledge-base Systems S Krishna, 1992-03-26 This book provides a comprehensive yet concise coverage of the concepts and technology of database systems and their evolution into knowledge-bases. The traditional material on database systems at senior undergraduate level is covered. An understanding of concepts is emphasized avoiding extremes in formalism or detail.Rather than be restricted to a single example used over an entire book, a variety of examples are used. These enable the reader to understand the basic abstractions which underlie description of many practical situations.A major portion of the book concerns database system technology with focus on the relational model. Various topics are discussed in detail, preparing the ground for more advanced work. |
| databases in computer science: Database Systems: The Complete Book Hector Garcia-Molina, 2008 |
| databases in computer science: Database Management Systems Raghu Ramakrishnan, Johannes Gehrke, 2000 Database Management Systems provides comprehensive and up-to-date coverage of the fundamentals of database systems. Coherent explanations and practical examples have made this one of the leading texts in the field. The third edition continues in this tradition, enhancing it with more practical material. The new edition has been reorganized to allow more flexibility in the way the course is taught. Now, instructors can easily choose whether they would like to teach a course which emphasizes database application development or a course that emphasizes database systems issues. New overview chapters at the beginning of parts make it possible to skip other chapters in the part if you don't want the detail. More applications and examples have been added throughout the book, including SQL and Oracle examples. The applied flavor is further enhanced by the two new database applications chapters. |
| databases in computer science: Schaum's Outline of Fundamentals of Relational Databases Ramon Mata-Toledo, Pauline K. Cushman, 2000-12-06 Tough Test Questions? Missed Lectures? Not Enough Time? Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills. This Schaum's Outline gives you Practice problems with full explanations that reinforce knowledge Coverage of the most up-to-date developments in your course field In-depth review of practices and applications Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores! Schaum's Outlines-Problem Solved. |
| databases in computer science: Fuzzy Databases Jose Galindo, Angelica Urrutia, Mario Piattini, 2006-01-01 This book includes an introduction to fuzzy logic, fuzzy databases and an overview of the state of the art in fuzzy modeling in databases--Provided by publisher. |
| databases in computer science: Data Models, Database Languages and Database Management Systems Gottfried Vossen, 1991 |
| databases in computer science: The Hutchinson Dictionary of Computing and the Internet Helicon Publishing, 2007 |
| databases in computer science: Database Systems Michael Kifer, Arthur J. Bernstein, Philip M. Lewis, 2005 This textbook explains the conceptual and engineering principles of database design. Rather than focusing on how to implement a database management system, it focuses on building applications, and the theory underlying relational databases and relational query languages. An ongoing case study illustrates both database and software engineering concepts. Originally published as Databases and transaction processing by Pearson Education in 2002; the second edition adds a chapter on database tuning and a section on UML. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com). |
| databases in computer science: Readings in Artificial Intelligence and Databases John Mylopoulos, Michael L. Brodie, 1989 The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s. An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current work in industry and research labs. Thirteen sections follow, each with a short introduction. Topics examined include semantic data models with emphasis on conceptual modeling techniques for databases and information systems and the integration of data model concepts in high-level data languages, definition and maintenance of integrity constraints in databases and knowledge bases, natural language front ends, object-oriented database management systems, implementation issues such as concurrency control and error recovery, and representation of time and knowledge incompleteness from the viewpoints of databases, logic programming, and AI. |
| databases in computer science: Practical Database Programming with Java Ying Bai, 2011-09-09 Covers fundamental and advanced Java database programming techniques for beginning and experienced readers This book covers the practical considerations and applications in database programming using Java NetBeans IDE, JavaServer Pages, JavaServer Faces, and Java Beans, and comes complete with authentic examples and detailed explanations. Two data-action methods are developed and presented in this important resource. With Java Persistence API and plug-in Tools, readers are directed step by step through the entire database programming development process and will be able to design and build professional data-action projects with a few lines of code in mere minutes. The second method, runtime object, allows readers to design and build more sophisticated and practical Java database applications. Advanced and updated Java database programming techniques such as Java Enterprise Edition development kits, Enterprise Java Beans, JavaServer Pages, JavaServer Faces, Java RowSet Object, and Java Updatable ResultSet are also discussed and implemented with numerous example projects. Ideal for classroom and professional training use, this text also features: A detailed introduction to NetBeans Integrated Development Environment Java web-based database programming techniques (web applications and web services) More than thirty detailed, real-life sample projects analyzed via line-by-line illustrations Problems and solutions for each chapter A wealth of supplemental material available for download from the book's ftp site, including PowerPoint slides, solution manual, JSP pages, sample image files, and sample databases Coverage of two popular database systems: SQL Server 2008 and Oracle This book provides undergraduate and graduate students as well as database programmers and software engineers with the necessary tools to handle the database programming issues in the Java NetBeans environment. To obtain instructor materials please send an email to: pressbooks@ieee.org |
| databases in computer science: Computing with New Resources Cristian S. Calude, Rūsiņš Freivalds, Iwama Kazuo, 2014-12-09 Professor Jozef Gruska is a well known computer scientist for his many and broad results. He was the father of theoretical computer science research in Czechoslovakia and among the first Slovak programmers in the early 1960s. Jozef Gruska introduced the descriptional complexity of grammars, automata, and languages, and is one of the pioneers of parallel (systolic) automata. His other main research interests include parallel systems and automata, as well as quantum information processing, transmission, and cryptography. He is co-founder of four regular series of conferences in informatics and two in quantum information processing and the Founding Chair (1989-96) of the IFIP Specialist Group on Foundations of Computer Science. |
| databases in computer science: Principles of Database Systems Jeffrey D. Ullman, 1983 |
| databases in computer science: Joe Celko's SQL for Smarties Joe Celko, 2000 An industry consultant shares his most useful tips and tricks for advanced SQL programming to help the working programmer gain performance and work around system deficiencies. |
What Is a Database? | Oracle
Nov 24, 2020 · A database is an organized collection of structured information, or data, typically stored electronically in a computer system. Databases range from relational to cloud databases.
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Nov 24, 2020 · A database is an organized collection of structured information, or data, typically stored electronically in a computer system. Databases range from relational to cloud databases.
What Is a Relational Database | Oracle
Jun 18, 2021 · A relational database is a type of database that stores and provides access to data points that are related to one another. Relational databases are based on the relational model, …
Introduction to Oracle Database
The two most common database architectures are client/server and multitier. Oracle Net Services Architecture Oracle Net Services is the interface between the database and the network …
Database 23ai Free | Oracle
Begin your journey with Oracle Database 23ai, whether you are a developer, a data scientist, a DBA, an educator, or just interested in databases. Experience native support for all modern …
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Vector databases, particularly open source options such as PostGIS, MySQL with vector extensions, or multimodel databases with native vector stores, offer cost-effective solutions for …
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Oracle Database includes built-in capabilities and options, including Oracle Active Data Guard and Oracle Real Application Clusters, that enable efficient, scaling and consolidation of …
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Database Documentation - Oracle Help Center
Other Databases The world's most popular open-source database, MySQL, as well as innovative In-Memory and NoSQL database solutions
Using the Oracle Database ODBC Driver
Authenticating and Authorizing Microsoft Entra ID (Azure AD) Users for Oracle Databases in Oracle Database Security Guide for more information about Entra ID integration with Oracle …
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