Database Life Cycle
Database Life Cycle

Author: Open University. Relational Databases: Theory and Practice Course Team

Publisher:

Published: 2007-04

Total Pages: 0

ISBN-13: 9780749215767

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This block is concerned with the database lifecycle, which describes the stages a database goes through, from the time the need for a database is established until it is withdrawn from use. This block applies the practice developed in Block 3 to systematically develop, implement and maintain a database design that supports the information requirements of an enterprise. It presents a simple framework for database development and maintenance.This is a very practical block and will require you to write and execute SQL statements for which you will need access to a computer installed with the course software (order code M359/CDR01) and database cards Scenarios and Hospital conceptual data model (order code M359/DBCARDS)

NoSQL and SQL Data Modeling
NoSQL and SQL Data Modeling

Author: Ted Hills

Publisher:

Published: 2016

Total Pages: 0

ISBN-13: 9781634621090

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The Concept and Object Modeling Notation (COMN) is able to cover the full spectrum of analysis and design.

Advances in Conceptual Modeling
Advances in Conceptual Modeling

Author: Georg Grossmann

Publisher: Springer Nature

Published: 2020-12-21

Total Pages: 252

ISBN-13: 3030658473

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This book constitutes the refereed proceedings of five workshops symposia, held at the 39th International Conference on Conceptual Modeling, ER 2020, which were supposed to be held in Vienna, Austria, in November 2020, but were held virtually due to the COVID-19 pandemic instead. The 20 papers promote and disseminate research on theories of concepts underlying conceptual modeling, methods and tools for developing and communicating conceptual models, techniques for transforming conceptual models into effective implementations, and the impact of conceptual modeling techniques on databases, business strategies and information systems. The following workshops are included in this volume: First Workshop on Conceptual Modeling Meets Artificial Intelligence and Data-Driven Decision Making (CMAI); First International Workshop on Conceptual Modeling for Life Sciences (CMLS); Second Workshop on Conceptual Modeling, Ontologies and (Meta)data Management for Findable, Accessible, Interoperable and Reusable (FAIR) Data (CMOMM4FAIR); First Workshop on Conceptual Modeling for NoSQL Data Stores (CoMoNoS); and Third International Workshop on Empirical Methods in Conceptual Modeling (EmpER).

Physical Database Design
Physical Database Design

Author: Sam S. Lightstone

Publisher: Morgan Kaufmann

Published: 2010-07-26

Total Pages: 449

ISBN-13: 0080552315

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The rapidly increasing volume of information contained in relational databases places a strain on databases, performance, and maintainability: DBAs are under greater pressure than ever to optimize database structure for system performance and administration. Physical Database Design discusses the concept of how physical structures of databases affect performance, including specific examples, guidelines, and best and worst practices for a variety of DBMSs and configurations. Something as simple as improving the table index design has a profound impact on performance. Every form of relational database, such as Online Transaction Processing (OLTP), Enterprise Resource Management (ERP), Data Mining (DM), or Management Resource Planning (MRP), can be improved using the methods provided in the book. The first complete treatment on physical database design, written by the authors of the seminal, Database Modeling and Design: Logical Design, Fourth Edition Includes an introduction to the major concepts of physical database design as well as detailed examples, using methodologies and tools most popular for relational databases today: Oracle, DB2 (IBM), and SQL Server (Microsoft) Focuses on physical database design for exploiting B+tree indexing, clustered indexes, multidimensional clustering (MDC), range partitioning, shared nothing partitioning, shared disk data placement, materialized views, bitmap indexes, automated design tools, and more!

Big Data For Dummies
Big Data For Dummies

Author: Judith S. Hurwitz

Publisher: John Wiley & Sons

Published: 2013-04-02

Total Pages: 336

ISBN-13: 1118644174

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Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

NoSQL Data Models
NoSQL Data Models

Author: Olivier Pivert

Publisher: John Wiley & Sons

Published: 2018-07-30

Total Pages: 215

ISBN-13: 1119544149

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The topic of NoSQL databases has recently emerged, to face the Big Data challenge, namely the ever increasing volume of data to be handled. It is now recognized that relational databases are not appropriate in this context, implying that new database models and techniques are needed. This book presents recent research works, covering the following basic aspects: semantic data management, graph databases, and big data management in cloud environments. The chapters in this book report on research about the evolution of basic concepts such as data models, query languages, and new challenges regarding implementation issues.

Physical Database Design Using Oracle
Physical Database Design Using Oracle

Author: Donald K. Burleson

Publisher: CRC Press

Published: 2004-07-27

Total Pages: 264

ISBN-13: 0203506235

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The evolution of Oracle has led to a revolution in design practices. For Oracle 10g, database physical structures have become more complex than ever before and database designers face multiple ways to implement their logical models. IS students studying database design and administration need to be able to implement management systems in a way that

New Trends in Databases and Information Systems
New Trends in Databases and Information Systems

Author: Jérôme Darmont

Publisher: Springer Nature

Published: 2020-08-17

Total Pages: 216

ISBN-13: 3030546233

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This book constitutes thoroughly refereed short papers of the 24th European Conference on Advances in Databases and Information Systems, ADBIS 2020, held in August 2020. ADBIS 2020 was to be held in Lyon, France, however due to COVID-19 pandemic the conference was held in online format. The 18 presented short research papers were carefully reviewed and selected from 69 submissions. The papers are organized in the following sections: data access and database performance; machine learning; data processing; semantic web; data analytics.

Data Science
Data Science

Author: Qurban A Memon

Publisher: CRC Press

Published: 2019-09-26

Total Pages: 345

ISBN-13: 0429554354

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The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows: • Part I: Data Science: Theory, Concepts, and Algorithms This part comprises five chapters on data Science theory, concepts, techniques and algorithms. • Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. • Part III: Applications and New Trends in Data Science This part comprises four chapters on applications and new trends in data science.