Patterns of Data ModelingPatterns of Data Modeling



Offers tried and tested data model patterns, to help readers avoid common modeling mistakes in building effective data models. This book provides advanced techniques for those who have mastered the basics.

Author: Michael Blaha

Publisher: CRC Press

ISBN: 1138402230

Category:

Page:

View: 372

Best-selling author and database expert with more than 25 years of experience modeling application and enterprise data, Dr. Michael Blaha provides tried and tested data model patterns, to help readers avoid common modeling mistakes and unnecessary frustration on their way to building effective data models. Unlike the typical methodology book, Patterns of Data Modeling provides advanced techniques for those who have mastered the basics. Recognizing that database representation sets the path for software, determines its flexibility, affects its quality, and influences whether it succeeds or fails, the text focuses on databases rather than programming. It is one of the first books to apply the popular patterns perspective to database systems and data models. It offers practical advice on the core aspects of applications and provides authoritative coverage of mathematical templates, antipatterns, archetypes, identity, canonical models, and relational database design.

Patterns of Information ManagementPatterns of Information Management



Patterns of Data Modeling (Emerging Directions in Database Systems and Applications). Boca Raton, FL: CRC Press, 2010. Booch, Grady, James Rumbaugh, and Ivar Jacobson. The Unified Modeling Language User Guide. 2nd ed.

Author: Mandy Chessell

Publisher: IBM Press

ISBN: 9780133155525

Category:

Page: 736

View: 628

Use Best Practice Patterns to Understand and Architect Manageable, Efficient Information Supply Chains That Help You Leverage All Your Data and Knowledge In the era of “Big Data,” information pervades every aspect of the organization. Therefore, architecting and managing it is a multi-disciplinary task. Now, two pioneering IBM® architects present proven architecture patterns that fully reflect this reality. Using their pattern language, you can accurately characterize the information issues associated with your own systems, and design solutions that succeed over both the short- and long-term. Building on the analogy of a supply chain, Mandy Chessell and Harald C. Smith explain how information can be transformed, enriched, reconciled, redistributed, and utilized in even the most complex environments. Through a realistic, end-to-end case study, they help you blend overlapping information management, SOA, and BPM technologies that are often viewed as competitive. Using this book’s patterns, you can integrate all levels of your architecture–from holistic, enterprise, system-level views down to low-level design elements. You can fully address key non-functional requirements such as the amount, quality, and pace of incoming data. Above all, you can create an IT landscape that is coherent, interconnected, efficient, effective, and manageable. Coverage Includes Understanding how a pattern language can help you address key information management challenges Defining information strategy and governance for organizations and users Creating orderly information flows you can reuse and synchronize as needed Managing information structure, meaning, and lifecycles Providing for efficient information access and storage when deploying new IT capabilities Moving information efficiently and reliably to support your processes Determining how information should be processed and maintained Improving quality and accessibility, and supporting higher-value analytics Protecting information via validation, transformation, enrichment, correction, security, and monitoring Planning new information management projects in the context of your existing IT resources

Patterns of Data ModelingPatterns of Data Modeling



EMERGING DIRECTIONS IN DATABASE SYSTEMS AND APPLICATIONS Series Editor Sham Navathe Professor Georgia Institute of Technology College of Computing Atlanta, Georgia, U.S.A. Patterns of Data Modeling, Michael Blaha Forthcoming ...

Author: Michael Blaha

Publisher: CRC Press

ISBN: 9781498785648

Category:

Page: 261

View: 449

Best-selling author and database expert with more than 25 years of experience modeling application and enterprise data, Dr. Michael Blaha provides tried and tested data model patterns, to help readers avoid common modeling mistakes and unnecessary frustration on their way to building effective data models. Unlike the typical methodology book, Patterns of Data Modeling provides advanced techniques for those who have mastered the basics. Recognizing that database representation sets the path for software, determines its flexibility, affects its quality, and influences whether it succeeds or fails, the text focuses on databases rather than programming. It is one of the first books to apply the popular patterns perspective to database systems and data models. It offers practical advice on the core aspects of applications and provides authoritative coverage of mathematical templates, antipatterns, archetypes, identity, canonical models, and relational database design.

Linked Data ManagementLinked Data Management



EmErging DirEctions in DatabasE systEms anD applications Series Editor sham navathe Professor Georgia Institute of ... Database Design and Tuning, Nicolas Bruno Patterns of Data Modeling, Michael Blaha LINKED DATA MANAGEMENT ANDREAS ...

Author: Andreas Harth

Publisher: CRC Press

ISBN: 9781466582415

Category:

Page: 576

View: 611

Linked Data Management presents techniques for querying and managing Linked Data that is available on today’s Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications. The text focuses on aspects of managing large-scale collections of Linked Data. It offers a detailed introduction to Linked Data and related standards, including the main principles distinguishing Linked Data from standard database technology. Chapters also describe how to generate links between datasets and explain the overall architecture of data integration systems based on Linked Data. A large part of the text is devoted to query processing in different setups. After presenting methods to publish relational data as Linked Data and efficient centralized processing, the book explores lookup-based, distributed, and parallel solutions. It then addresses advanced topics, such as reasoning, and discusses work related to read-write Linked Data for system interoperation. Despite the publication of many papers since Tim Berners-Lee developed the Linked Data principles in 2006, the field lacks a comprehensive, unified overview of the state of the art. Suitable for both researchers and practitioners, this book provides a thorough, consolidated account of the new data publishing and data integration paradigm. While the book covers query processing extensively, the Linked Data abstraction furnishes more than a mechanism for collecting, integrating, and querying data from the open Web—the Linked Data technology stack also allows for controlled, sophisticated applications deployed in an enterprise environment.

LogiQLLogiQL



EMERGING DIRECTIONS IN DATABASE SYSTEMS AND APPLICATIONS Series Editor Sham Navathe Professor Georgia Institute of Technology ... and Ralf Schenkel Automated Physical Database Design and Tuning, Nicolas Bruno Patterns of Data Modeling, ...

Author: Terry Halpin

Publisher: CRC Press

ISBN: 9781482244939

Category:

Page: 347

View: 222

LogiQL is a new state-of-the-art programming language based on Datalog. It can be used to build applications that combine transactional, analytical, graph, probabilistic, and mathematical programming. LogiQL makes it possible to build hybrid applications that previously required multiple programming languages and databases. In this first book to cover LogiQL, the authors explain how to design, implement, and query deductive databases using this new programming language. LogiQL’s declarative approach enables complex data structures and business rules to be simply specified and then automatically executed. It is especially suited to business applications requiring complex rules to be implemented efficiently, for example predictive analytics and supply chain optimization. Suitable for both novices and experienced developers, the book is written in easy-to-understand language. It includes many examples and exercises throughout to illustrate the main concepts and consolidate understanding.

Automated Physical Database Design and TuningAutomated Physical Database Design and Tuning



SYSTEMS AND APPLICATIONS Series Editor Sham Navathe Professor Georgia Institute of Technology College of Computing Atlanta, Georgia, U.S.A. Automated Physical Database Design and Tuning, Nicolas Bruno Patterns of Data Modeling, ...

Author: Nicolas Bruno

Publisher: CRC Press

ISBN: 9781439815687

Category:

Page: 253

View: 741

Due to the increasing complexity in application workloads and query engines, database administrators are turning to automated tuning tools that systematically explore the space of physical design alternatives. A critical element of such tuning is physical database design since the choice of physical structures has a significant impact on the performance of the database system. Automated Physical Database Design and Tuning presents a detailed overview of the fundamental ideas and algorithms for automatically recommending changes to the physical design of a database system. The first part of the book introduces the necessary technical background. The author explains SQL, the space of execution plans for answering SQL queries, query optimization, how the choice of access paths (e.g., indexes) is crucial to performance, and the complexity of the physical design problem. The second part extensively discusses automated physical design techniques, covering fundamental research ideas in the last 15 years that have resulted in a new generation of tuning tools. The text focuses on the search space of alternatives, the necessity of a cost model to compare such alternatives, different mechanisms to traverse and enumerate the search space, and practical aspects in real-world tuning tools. In the third part, the author explores new advances in automated physical design. He applies previous approaches to other physical structures, such as materialized views, partitioning, and multidimensional clustering. He also analyzes workload models for new types of applications, generalizes the optimizing function of current physical design tools to cope with other application scenarios, and examines open-ended challenges in physical database design. This book offers valuable insights on well-established principles and cutting-edge research results in automated physical design. It helps readers gain a deeper understanding of how automated tuning tools work in database installations as well as the challenges and opportunities involved in designing next-generation tuning tools.

Readings in Artificial Intelligence and DatabasesReadings in Artificial Intelligence and Databases



Future Directions The technical challenges driving database technology today arise as attempts are made to apply this technology in new and more challenging applications (see [BBLM88]). Organizations are increasingly attempting to ...

Author: John Mylopoulos

Publisher: Morgan Kaufmann

ISBN: 9780080886626

Category:

Page: 688

View: 282

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.

Certified Enterprise Architect All in One Exam GuideCertified Enterprise Architect All in One Exam Guide



Patterns of Data Modeling (Emerging Directions in Database Systems and Applications). Boca Raton, FL: CRC Press. Bruce, Thomas A., M.D. 1991. Designing Quality Databases with IDEF1X Information Models. New York: Dorset House.

Author: Prakash Rao

Publisher: McGraw Hill Professional

ISBN: 9781260121490

Category:

Page: 608

View: 484

This effective study guide offers comprehensive coverage of topics comprising the enterprise architecture body of knowledge. The book provides detailed coverage and lays out actionable methodologies and best practices to create and maintain successful EA models, artifacts and building blocks. It helps prepare readers to take any of the various EA certification exams and academic courses in enterprise architecture. This highly effective self-study guide offers comprehensive coverage of all topics in the enterprise architecture body of knowledge. Written by a team of experienced academics, practitioners, and professionals, the book takes a holistic look at the practice of enterprise architecture. You will get actionable methodologies and best practices and learn how to develop, deploy, and maintain successful enterprise architecture models, artifacts, and building blocks. Designed to help you prepare for certification, the Certified Enterprise Architect All-in-One Exam Guide also serves as an essential on-the-job reference. Coverage includes:•Enterprise architecture foundation concepts•Planning the enterprise architecture•Enterprise architecture development, governance, and maintenance•Defense frameworks•Viewpoints and views•The Zachman Framework•The Open Group Architecture Framework (TOGAF)•The Common Approach to Federal Enterprise Architecture•FEAF2•Comparison of frameworks•Case Study integrated throughout the text•And much more

Principle Advancements in Database Management Technologies New Applications and FrameworksPrinciple Advancements in Database Management Technologies New Applications and Frameworks



We therefore suggest that further efforts should be made in developing conceptual models with a lower cognitive burden for systems ... The issues raised by results involving ESL in this study suggest new directions for future research.

Author: Siau, Keng

Publisher: IGI Global

ISBN: 9781605669052

Category:

Page: 462

View: 357

Significant progression and usage of Internet innovations has caused a need for streamlining past, present, and future database technologies. Principle Advancements in Database Management Technologies: New Applications and Frameworks presents exemplary research in a variety of areas related to database development, technology, and use. This authoritative reference source presents innovative approaches by leading international experts to serve as the primary database management source for researchers, practitioners, and academicians.

Successes and New Directions in Data MiningSuccesses and New Directions in Data Mining



It can be considered a pattern management solution supporting the integration of data mining applications with ... Common warehousemetamodel: Thecom- mon warehouse metamodel (CWM, 2001) approach is another standardization effort of the ...

Author: Florent Masseglia

Publisher: IGI Global

ISBN: 9781599046457

Category:

Page: 369

View: 723

"This book addresses existing solutions for data mining, with particular emphasis on potential real-world applications. It captures defining research on topics such as fuzzy set theory, clustering algorithms, semi-supervised clustering, modeling and managing data mining patterns, and sequence motif mining"--Provided by publisher.