Guide on Logical Database Design
Author | : |
Publisher | : |
Total Pages | : 136 |
Release | : 1985 |
Genre | : Database design |
ISBN | : |
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Author | : |
Publisher | : |
Total Pages | : 136 |
Release | : 1985 |
Genre | : Database design |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : |
Release | : 1986-08 |
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ISBN | : 9780849037788 |
Author | : Sam S. Lightstone |
Publisher | : Morgan Kaufmann |
Total Pages | : 449 |
Release | : 2010-07-26 |
Genre | : Computers |
ISBN | : 0080552315 |
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!
Author | : |
Publisher | : |
Total Pages | : 105 |
Release | : 1985 |
Genre | : Database design |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 124 |
Release | : 1985 |
Genre | : Database design |
ISBN | : |
Author | : United States. National Bureau of Standards |
Publisher | : |
Total Pages | : 95 |
Release | : 1985 |
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ISBN | : |
Author | : John Garmany |
Publisher | : CRC Press |
Total Pages | : 200 |
Release | : 2005-05-12 |
Genre | : Computers |
ISBN | : 0203505166 |
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 lo
Author | : George Tillmann |
Publisher | : Apress |
Total Pages | : 379 |
Release | : 2017-04-07 |
Genre | : Computers |
ISBN | : 1484227220 |
Design great databases—from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem of merging data and process models into a meaningful and unified design that accounts for how data is actually used in production systems. Key to the framework is a method for taking the logical data model that is a static look at the definition of the data, and merging that static look with the process models describing how the data will be used in actual practice once a given system is implemented. The approach solves the disconnect between the static definition of data in the logical data model and the dynamic flow of the data in the logical process models. The design framework in this book can be used to create operational databases for transaction processing systems, or for data warehouses in support of decision support systems. The information manager can be a flat file, Oracle Database, IMS, NoSQL, Cassandra, Hadoop, or any other DBMS. Usage-Driven Database Design emphasizes practical aspects of design, and speaks to what works, what doesn’t work, and what to avoid at all costs. Included in the book are lessons learned by the author over his 30+ years in the corporate trenches. Everything in the book is grounded on good theory, yet demonstrates a professional and pragmatic approach to design that can come only from decades of experience. Presents an end-to-end framework from logical data modeling through physical schema definition. Includes lessons learned, techniques, and tricks that can turn a database disaster into a success. Applies to all types of database management systems, including NoSQL such as Cassandra and Hadoop, and mainstream SQL databases such as Oracle and SQL Server What You'll Learn Create logical data models that accurately reflect the real world of the user Create usage scenarios reflecting how applications will use a new database Merge static data models with dynamic process models to create resilient yet flexible database designs Support application requirements by creating responsive database schemas in any database architecture Cope with big data and unstructured data for transaction processing and decision support systems Recognize when relational approaches won’t work, and when to turn toward NoSQL solutions such as Cassandra or Hadoop Who This Book Is For System developers, including business analysts, database designers, database administrators, and application designers and developers who must design or interact with database systems
Author | : Alan Chmura |
Publisher | : Springer Science & Business Media |
Total Pages | : 234 |
Release | : 2007-03-06 |
Genre | : Computers |
ISBN | : 0387229620 |
Logical Data Modeling offers business managers, analysts, and students a clear, basic systematic guide to defining business information structures in relational database terms. The approach, based on Clive Finkelstein’s business-side Information Engineering, is hands-on, practical, and explicit in terminology and reasoning. Filled with illustrations, examples, and exercises, Logical Data Modeling makes its subject accessible to readers with only a limited knowledge of database systems. The book covers all essential topics thoroughly but succinctly: entities, associations, attributes, keys and inheritance, valid and invalid structures, and normalization. It also emphasizes communication with business and database specialists, documentation, and the use of Visible Systems' Visible Advantage enterprise modeling tool. The application of design patterns to logical data modeling provides practitioners with a practical tool for fast development. At the end, a chapter covers the issues that arise when the logical data model is translated into the design for a physical database.
Author | : George Tillmann |
Publisher | : McGraw-Hill Companies |
Total Pages | : 280 |
Release | : 1993 |
Genre | : Data structures (Computer science). |
ISBN | : |
This book provides both the seasoned and novice designer with an understanding of logical data modeling--the stepping stone to structuring viable software systems. The basics of data modeling are presented in this clearly written guide, focusing on entity relationships, the most popular modeling approach in use today.