Principles of Database Management

Principles of Database Management PDF Author: Wilfried Lemahieu
Publisher: Cambridge University Press
ISBN: 1316946754
Category : Computers
Languages : en
Pages : 817

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Book Description
This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science. These examples are further supported by an online playground with multiple learning environments, including MySQL, MongoDB, Neo4j Cypher, and tree structure visualization. This combined learning approach connects key concepts throughout the text to the important, practical tools to get started in database management.

Principles of Database Management

Principles of Database Management PDF Author: Wilfried Lemahieu
Publisher: Cambridge University Press
ISBN: 1316946754
Category : Computers
Languages : en
Pages : 817

Get Book

Book Description
This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science. These examples are further supported by an online playground with multiple learning environments, including MySQL, MongoDB, Neo4j Cypher, and tree structure visualization. This combined learning approach connects key concepts throughout the text to the important, practical tools to get started in database management.

Database Principles

Database Principles PDF Author: Stephen Morris
Publisher: South Western Educational Publishing
ISBN: 9781133311973
Category : Database design
Languages : en
Pages : 736

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Book Description
Practical and easy to understand Database Principles: Fundamentals of Design, Implementation, and Management, 10/e, International Edition gives readers a solid foundation in database design and implementation. Filled with visual aids such as diagrams, illustrations, and tables, this market-leading book provides in-depth coverage of database design, demonstrating that the key to successful database implementation is in proper design of databases to fit within a larger strategic view of the data environment. Renowned for its clear, straightforward writing style, the tenth edition has been thoroughly updated to include hot topics such as green computing/sustainability for modern data centers, the role of redundant relationships, and examples of web-database connectivity and code security. In addition, new review questions, problem sets, and cases have been added throughout the book so that readers have multiple opportunities to test their understanding and develop real and useful design skills.

Principles of Distributed Database Systems

Principles of Distributed Database Systems PDF Author: M. Tamer Özsu
Publisher: Springer Science & Business Media
ISBN: 1441988343
Category : Computers
Languages : en
Pages : 846

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Book Description
This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced a renewal of interest in distributed and parallel data management, while, at the same time, requiring a rethinking of some of the traditional techniques. This book covers the breadth and depth of this re-emerging field. The coverage consists of two parts. The first part discusses the fundamental principles of distributed data management and includes distribution design, data integration, distributed query processing and optimization, distributed transaction management, and replication. The second part focuses on more advanced topics and includes discussion of parallel database systems, distributed object management, peer-to-peer data management, web data management, data stream systems, and cloud computing. New in this Edition: • New chapters, covering database replication, database integration, multidatabase query processing, peer-to-peer data management, and web data management. • Coverage of emerging topics such as data streams and cloud computing • Extensive revisions and updates based on years of class testing and feedback Ancillary teaching materials are available.

Advanced Principles for Improving Database Design, Systems Modeling, and Software Development

Advanced Principles for Improving Database Design, Systems Modeling, and Software Development PDF Author: Siau, Keng
Publisher: IGI Global
ISBN: 1605661732
Category : Business & Economics
Languages : en
Pages : 450

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Book Description
"This book presents cutting-edge research and analysis of the most recent advancements in the fields of database systems and software development"--Provided by publisher.

Database Systems for Next-Generation Applications

Database Systems for Next-Generation Applications PDF Author: W Kim
Publisher: World Scientific
ISBN: 9814596795
Category : Computers
Languages : en
Pages : 324

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Book Description
This volume is the first in a series which aims to contribute to the wider dissemination of the results of research and development in database systems for non-traditional applications and non-traditional machine organizations. It contains updated versions of selected papers from the First International Symposium on Database Systems for Advanced Applications. Contents:A Framework for the Parallel Evaluation of Recursive Queries in Deductive Databases (R-P Qi & W Bibel)Realization of Composite Relationship Views Utilizing Regular Expressions (H-Y Xu & Y Kambayashi)Seamless Interconnection in Federated Database Systems (D Fang & D McLeod)Case-Based Evolutionary World Model for Electronic Secretaries (K Kanasaki & T L Kunii)Design and Implementation of a Visual Query Language for Historical Databases (E Oomoto & K Tanaka)Intersection Operations in a Multi-Layered Spatial Data Model (D W Embley & G Nagy)Partial Match Retrieval Using Multiple-Key Hashing with Multiple File Copies (K Ramamohanarao et al.)Overview of Functional Disk System (M Kitsuregawa et al.)and other papers Readership: Computer scientists and engineers.

Principles of Database Systems

Principles of Database Systems PDF Author: Jeffrey D. Ullman
Publisher: Computer Science Press, Incorporated
ISBN:
Category : Database management
Languages : en
Pages : 400

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Book Description


Database

Database PDF Author: Patrick O'Neil
Publisher: Morgan Kaufmann
ISBN: 1483184048
Category : Computers
Languages : en
Pages : 889

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Book Description
Database: Principles Programming Performance provides an introduction to the fundamental principles of database systems. This book focuses on database programming and the relationships between principles, programming, and performance. Organized into 10 chapters, this book begins with an overview of database design principles and presents a comprehensive introduction to the concepts used by a DBA. This text then provides grounding in many abstract concepts of the relational model. Other chapters introduce SQL, describing its capabilities and covering the statements and functions of the programming language. This book provides as well an introduction to Embedded SQL and Dynamic SQL that is sufficiently detailed to enable students to immediately start writing database programs. The final chapter deals with some of the motivations for database systems spanning multiple CPUs, including client-server and distributed transactions. This book is a valuable resource for database administrators, application programmers, specialist users, and end users.

The Software Principles of Design for Data Modeling

The Software Principles of Design for Data Modeling PDF Author: Samanta, Debabrata
Publisher: IGI Global
ISBN: 1668498103
Category : Computers
Languages : en
Pages : 342

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Book Description
The Software Principles of Design for Data Modeling, written by Debabrata Samanta of Rochester Institute of Technology in Kosovo, offers a practical and comprehensive solution to the challenges of designing effective software architecture for data modeling. This book covers key topics such as gathering requirements, modeling requirements with use cases, testing the system, building entity-relationship models, building class models in UML with patterns of data modeling and software quality attributes, and use case modeling. It also includes case studies of relational and object-relational database schema design. The unique approach of this book lies in its unifying method for designing software architecture for data modeling. It addresses specific design issues for various types of software systems, including object-oriented, client/server, service-oriented, component-based, real-time, and software product line architectures. With its practical guidance, standard method for modeling requirements and analysis, and comprehensive coverage of key topics and case studies, this book is a must-read for anyone interested in designing effective software architecture for data modeling, whether you are an academic scholar or a professional in the field.

Logical Database Design Principles

Logical Database Design Principles PDF Author: John Garmany
Publisher: CRC Press
ISBN: 1135496609
Category : Computers
Languages : en
Pages : 199

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Book Description
Until now, almost all books on logical database design focused exclusively on relational design. However, modern database management systems have added powerful features that have driven a movement away from truly normalized database design. Logical Database Design Principles reflects these recent changes. The book begins by covering traditional logical design principles, followed by an analysis of the normalizing and modeling of data. It then examines designing for specific purposes, such as object-oriented databases, online transaction processing (OLTP), and data warehouses. As the text progresses, it moves from the purely logical into some physical design, as determined by how the features of modern databases are implemented. Because this is a logical-design book, the authors attempt to make the examples database-neutral. Because various vendors implement features in different ways, this volume sometimes offers examples from a specific database management system. When necessary, it highlights a specific application, clearly demonstrating the concept being discussed.

Principles of Data Mining and Knowledge Discovery

Principles of Data Mining and Knowledge Discovery PDF Author: Luc de Raedt
Publisher: Springer
ISBN: 3540447946
Category : Computers
Languages : en
Pages : 514

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Book Description
This book constitutes the refereed proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2001, held in Freiburg, Germany, in September 2001. The 40 revised full papers presented together with four invited contributions were carefully reviewed and selected from close to 100 submissions. Among the topics addressed are hidden Markov models, text summarization, supervised learning, unsupervised learning, demographic data analysis, phenotype data mining, spatio-temporal clustering, Web-usage analysis, association rules, clustering algorithms, time series analysis, rule discovery, text categorization, self-organizing maps, filtering, reinforcemant learning, support vector machines, visual data mining, and machine learning.