The Architectural Logic Of Database Systems

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The Architectural Logic of Database Systems

Author : Emmanuel J. Yannakoudakis
Publisher : Springer Science & Business Media
Page : 330 pages
File Size : 40,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447116165

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The Architectural Logic of Database Systems by Emmanuel J. Yannakoudakis Pdf

If we look back to pre-database systems and the data units which were in use, we will establish a hierarchy starting with the concept of 'field' used to build 'records' which were in turn used to build higher data units such as 'files'. The file was considered to be the ultimate data unit of information processing and data binding 'monolith'. Moreover, pre database systems were designed with one or more programming languages in mind and this in effect restricted independent develop ment and modelling of the applications and associated storage structures. Database systems came along not to turn the above three units into outmoded concepts, but rather to extend them further by establishing a higher logical unit for data description and thereby offer high level data manipulation functions. It also becomes possible for computer professionals and other users to view all information processing needs of an organisation through an integrated, disciplined and methodical approach. So, database systems employ the concepts field, record and file without necessarily making them transparent to the user who is in effect offered a high level language to define data units and relation ships, and another language to manipulate these. A major objective of database systems is to allow logical manipulations to be carried out independent of storage manipulations and vice versa.

The Architectural Logic of Database Systems

Author : Emmanuel J Yannakoudakis
Publisher : Unknown
Page : 336 pages
File Size : 54,8 Mb
Release : 1988-01-01
Category : Electronic
ISBN : 1447116178

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The Architectural Logic of Database Systems by Emmanuel J Yannakoudakis Pdf

Architecture of a Database System

Author : Joseph M. Hellerstein,Michael Stonebraker,James Hamilton
Publisher : Now Publishers Inc
Page : 137 pages
File Size : 51,6 Mb
Release : 2007
Category : Computers
ISBN : 9781601980786

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Architecture of a Database System by Joseph M. Hellerstein,Michael Stonebraker,James Hamilton Pdf

Architecture of a Database System presents an architectural discussion of DBMS design principles, including process models, parallel architecture, storage system design, transaction system implementation, query processor and optimizer architectures, and typical shared components and utilities.

Database Systems

Author : Paolo Atzeni
Publisher : Unknown
Page : 646 pages
File Size : 48,9 Mb
Release : 1999
Category : Computers
ISBN : UOM:39015045661470

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Database Systems by Paolo Atzeni Pdf

Covers the important requirements of teaching databases with a modular and progressive perspective. This book can be used for a full course (or pair of courses), but its first half can be profitably used for a shorter course.

Real-Time Database Systems

Author : Kam-Yiu Lam,Tei-Wei Kuo
Publisher : Springer Science & Business Media
Page : 289 pages
File Size : 50,5 Mb
Release : 2006-04-18
Category : Computers
ISBN : 9780306469886

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Real-Time Database Systems by Kam-Yiu Lam,Tei-Wei Kuo Pdf

In recent years, tremendous research has been devoted to the design of database systems for real-time applications, called real-time database systems (RTDBS), where transactions are associated with deadlines on their completion times, and some of the data objects in the database are associated with temporal constraints on their validity. Examples of important applications of RTDBS include stock trading systems, navigation systems and computer integrated manufacturing. Different transaction scheduling algorithms and concurrency control protocols have been proposed to satisfy transaction timing data temporal constraints. Other design issues important to the performance of a RTDBS are buffer management, index accesses and I/O scheduling. Real-Time Database Systems: Architecture and Techniques summarizes important research results in this area, and serves as an excellent reference for practitioners, researchers and educators of real-time systems and database systems.

What Every Engineer Should Know About Data-Driven Analytics

Author : Satish Mahadevan Srinivasan,Phillip A. Laplante
Publisher : CRC Press
Page : 279 pages
File Size : 48,8 Mb
Release : 2023-04-13
Category : Computers
ISBN : 9781000859690

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What Every Engineer Should Know About Data-Driven Analytics by Satish Mahadevan Srinivasan,Phillip A. Laplante Pdf

What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of machine learning that are used in predictive data analytics. By introducing the theory and by providing practical applications, this text can be understood by every engineering discipline. It offers a detailed and focused treatment of the important machine learning approaches and concepts that can be exploited to build models to enable decision making in different domains. Utilizes practical examples from different disciplines and sectors within engineering and other related technical areas to demonstrate how to go from data, to insight, and to decision making Introduces various approaches to build models that exploits different algorithms Discusses predictive models that can be built through machine learning and used to mine patterns from large datasets Explores the augmentation of technical and mathematical materials with explanatory worked examples Includes a glossary, self-assessments, and worked-out practice exercises Written to be accessible to non-experts in the subject, this comprehensive introductory text is suitable for students, professionals, and researchers in engineering and data science.

Data Mesh

Author : Zhamak Dehghani
Publisher : "O'Reilly Media, Inc."
Page : 387 pages
File Size : 44,6 Mb
Release : 2022-03-08
Category : Computers
ISBN : 9781492092360

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Data Mesh by Zhamak Dehghani Pdf

Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.

Advanced Relational Programming

Author : F. Cacace,G. Lamperti
Publisher : Springer Science & Business Media
Page : 412 pages
File Size : 51,6 Mb
Release : 2013-03-19
Category : Computers
ISBN : 9789400708587

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Advanced Relational Programming by F. Cacace,G. Lamperti Pdf

This volume aims to present recent advances in database technology from the viewpoint of the novel database paradigms proposed in the last decade. It focuses on the theory of the extended relational model and an example of an extended relational database programming language, Algres, is described. A free copy of Algres complements this work, and is available on the Internet. Audience: This work will be of interest to graduate students following advanced database courses, advanced data-oriented applications developers, and researchers in the field of database programming languages and software engineering who need a flexible prototyping platform for the development of software tools.

Valuepack

Author : Thomas Connolly
Publisher : Addison-Wesley
Page : 128 pages
File Size : 53,5 Mb
Release : 2005-08-01
Category : Electronic
ISBN : 1405836563

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Valuepack by Thomas Connolly Pdf

Data Mining

Author : Bhavani Thuraisingham
Publisher : CRC Press
Page : 288 pages
File Size : 50,7 Mb
Release : 2014-01-23
Category : Computers
ISBN : 9781482252507

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Data Mining by Bhavani Thuraisingham Pdf

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining Part II presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific approaches, examining a specific technique based on logic programming, and citing literature and vendors for up-to-date information Part III examines emerging trends - mining distributed and heterogeneous data sources; multimedia data, such as text, images, video; mining data on the World Wide Web; metadata aspects of mining; and privacy issues. This self-contained book also contains two appendices providing exceptional information on technologies, such as data management, and artificial intelligence. Is there a need for mining? Do you have the right tools? Do you have the people to do the work? Do you have sufficient funds allocated to the project? All these answers must be answered before embarking on a project. Data Mining provides singular guidance on appropriate applications for specific techniques as well as thoroughly assesses valuable product information.

Data Management Systems

Author : Bhavani Thuraisingham
Publisher : CRC Press
Page : 276 pages
File Size : 54,6 Mb
Release : 1997-05-19
Category : Computers
ISBN : 0849394937

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Data Management Systems by Bhavani Thuraisingham Pdf

As the information contained in databases has become a critical resource in organizations, efficient access to that information and the ability to share it among different users and across different systems has become an urgent need. The interoperability of heterogeneous database systems-literally, the ability to access information between or among differing types of databases, is the topic of this timely book. In the last two decades, tremendous improvements in tools and technologies have resulted in new products that provide distributed data processing capabilities. This book describes these tools and emerging technologies, explaining the essential concepts behind the topics but focusing on practical applications. Selected products are discussed to illustrate the characteristics of the different technologies. This is an ideal source for anyone who needs a broad perspective on heterogeneous database integration and related technologies.

Tutorial

Author : A. R. Hurson,L. L. Miller,S. H. Pakzad
Publisher : Unknown
Page : 494 pages
File Size : 46,8 Mb
Release : 1989
Category : Computers
ISBN : UOM:39015018892664

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Tutorial by A. R. Hurson,L. L. Miller,S. H. Pakzad Pdf

Standard Relational and Network Database Languages

Author : E.J. Yannakoudakis,C.P. Cheng
Publisher : Springer Science & Business Media
Page : 146 pages
File Size : 55,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447132875

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Standard Relational and Network Database Languages by E.J. Yannakoudakis,C.P. Cheng Pdf

For any type of software to become standard, whether a third genera tion language or an integrated project support environment (IPSE), it must undergo a series of modifications and updates which are a direct result of theoretical and empirical knowledge gained in the process. The database approach to the design of general purpose infonn ation systems has undergone a series of revisions during the last twenty years which have established it as a winner in many different spheres of infonnation processing, including expert systems and real time control. It is now widely recognised by academics and practitioners alike, that the use of a database management system (DBMS) as the under lying software tool for the development of infonnation/knowledge based systems can lead to environments which are: (a) flexible, (b) efficient, (c) user-friendly, (d) free from duplication, and (e) fully controllable. The concept of a DBMS is now mature and has produced the software necessary to design the actual database holding the data. The database languages proposed recently by the International Organisa tion for Standardisation (ISO) are thorough enough for the design of the necessary software compilers (i.e programs which translate the high level commands into machine language for fast execution by the computer hardware). The ISO languages adopt two basic models of data and therefore two different sets of commands: (a) the relational, implemented via the relational database language (RDL), and (b) the network, imple mented via the network database language (NDL).

Database Systems for Advanced Applications

Author : Hiroyuki Kitagawa,Yoshiharu Ishikawa,Qing Li,Chiemi Watanabe
Publisher : Springer Science & Business Media
Page : 515 pages
File Size : 42,6 Mb
Release : 2010-03-18
Category : Computers
ISBN : 9783642120978

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Database Systems for Advanced Applications by Hiroyuki Kitagawa,Yoshiharu Ishikawa,Qing Li,Chiemi Watanabe Pdf

This two volume set LNCS 5981 and LNCS 5982 constitutes the refereed proceedings of the 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, held in Tsukuba, Japan, in April 2010. The 39 revised full papers and 16 revised short papers presented together with 3 invited keynote papers, 22 demonstration papers, 6 industrial papers, and 2 keynote talks were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in topical sections on P2P-based technologies, data mining technologies, XML search and matching, graphs, spatial databases, XML technologies, time series and streams, advanced data mining, query processing, Web, sensor networks and communications, information management, as well as communities and Web graphs. The second volume contains contributions related to trajectories and moving objects, skyline queries, privacy and security, data streams, similarity search and event processing, storage and advanced topics, industrial, demo papers, and tutorials and panels.

Hands-On Big Data Modeling

Author : James Lee,Tao Wei,Suresh Kumar Mukhiya
Publisher : Packt Publishing Ltd
Page : 293 pages
File Size : 55,6 Mb
Release : 2018-11-30
Category : Computers
ISBN : 9781788626088

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Hands-On Big Data Modeling by James Lee,Tao Wei,Suresh Kumar Mukhiya Pdf

Solve all big data problems by learning how to create efficient data models Key FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of real-life examples. Once you’ve got to grips with the basics, you’ll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You’ll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you’ll be able to design and develop efficient data models for varying data sizes easily and efficiently. What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is for This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.