Database Modeling And Design
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Data Modeling And Database Design
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Author : Narayan S. Umanath
language : en
Publisher:
Release Date : 2009
Data Modeling And Database Design written by Narayan S. Umanath and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computer architecture categories.
Patterns Of Data Modeling
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Author : Michael Blaha
language : en
Publisher: CRC Press
Release Date : 2010-06-01
Patterns Of Data Modeling written by Michael Blaha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-01 with Computers categories.
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.
Hands On Big Data Modeling
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Author : James Lee
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-11-30
Hands On Big Data Modeling written by James Lee and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-30 with Computers categories.
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.
Object Oriented Modeling And Design For Database Applications
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Author : Michael Blaha
language : en
Publisher: Pearson
Release Date : 1998
Object Oriented Modeling And Design For Database Applications written by Michael Blaha and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
Written from a software engineering perspective, this book shows programmers & developers how to build object-oriented database applications for distributed & client/server environments using the newest update of the OMT methodology & UML.
Database Design And Relational Theory
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Author : C.J. Date
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-04-17
Database Design And Relational Theory written by C.J. Date and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-17 with Computers categories.
What makes this book different from others on database design? Many resources on design practice do little to explain the underlying theory, and books on design theory are aimed primarily at theoreticians. In this book, renowned expert Chris Date bridges the gap by introducing design theory in ways practitioners can understand—drawing on lessons learned over four decades of experience to demonstrate why proper database design is so critical in the first place. Every chapter includes a set of exercises that show how to apply the theoretical ideas in practice, provide additional information, or ask you to prove some simple theoretical result. If you’re a database professional familiar with the relational model, and have more than a passing interest in database design, this book is for you. Questions this book answers include: Why is Heath’s Theorem so important? What is The Principle of Orthogonal Design? What makes some JDs reducible and others irreducible? Why does dependency preservation matter? Should data redundancy always be avoided? Can it be? Databases often stay in production for decades, and careful design is critical for avoiding subtle errors and processing problems over time. If they’re badly designed, the negative impacts can be incredibly widespread. This gentle introduction shows you how to use important theoretical results to create good database designs.
Physical Database Design
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Author : Sam S. Lightstone
language : en
Publisher: Morgan Kaufmann
Release Date : 2010-07-26
Physical Database Design written by Sam S. Lightstone and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-26 with Computers categories.
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!
Six Step Relational Database Design
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Author : Fidel A. Captain
language : en
Publisher: Fidel A Captain
Release Date : 2013-05-11
Six Step Relational Database Design written by Fidel A. Captain and has been published by Fidel A Captain this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-11 with Computers categories.
Bridges the gaps between database theory, database modeling, and database implementation by outlining a simple but reliable six-step process for accurately modeling user data on a Crow's Foot Relational Model Diagram, and then demonstrating how to implement this model on any relational database management system. This volume uses three case studies and starts with a statement of the problem by the client and then goes through the six steps necessary to create a reliable and accurate data model of the client's business requirements. The second edition contains a new chapter on implementation that goes through the steps necessary to implement each of the case studies on a relational database management system, clearly relating the design to implementation and database theory. In addition, questions are also included at the end of each of the six steps and one of the previous case studies has been replaced, making the case study selection more diverse. This book is intended for use as a handbook for students and professionals in the software-development field. The technique described in this book can be used by students for quickly developing relational databases for their applications, and by professionals for developing sturdy, reliable, and accurate relational database models for their software applications. --From publisher description.
Database Design
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Author : Naphtali Rishe
language : en
Publisher: McGraw-Hill Companies
Release Date : 1992
Database Design written by Naphtali Rishe and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
This book covers the broad field of database design from the perspective of semantic modeling. Aimed at present and future designers of database applications, software engineers, systems analysts and programmers, it aims to offer a unified study of semantic, relational, network and hierarchical databases as seen through the semantic modeling approach. The book provides a stuctured top-down methodology of database design in all the models and presents the principal types of database languages.
Data Modeling
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Author : G. Lawrence Sanders
language : en
Publisher: Course Technology
Release Date : 1995
Data Modeling written by G. Lawrence Sanders and has been published by Course Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Perfect for professionals seeking a practical handle on systems analysis and design and advanced database management, this book is a unique, hands-on look at data modeling--a topic of increasing importance in object-oriented programming.
Data Modeling Made Simple
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Author : Steve Hoberman
language : en
Publisher: Technics Publications, LLC
Release Date : 2005
Data Modeling Made Simple written by Steve Hoberman and has been published by Technics Publications, LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Ever have a bad data day? If you are a business user, architect, analyst, designer or developer, then you have probably had some bad data days. It comes with the territory. Overcoming these problems is much easier if you have an in-depth understanding of the actual data. That's where a data model comes in handy. It's a diagram that uses text and symbols to represent groupings of data, giving you a clear picture of your business and application environment. The book provides the tools you need to read, create and validate models of your business and applications. Contains everything about modelling you need to know but were too afraid to ask, such as: What are the traditional and non-traditional uses of a data model? How do subject area, logical, and physical data models differ? When do I build a BSAM, ASAM, or CSAM? What is the easiest way to apply normalisation? Where can I best leverage abstraction? How do I decide whether to use denormalisation or dimensionality? What are primary, foreign, alternate, virtual, and surrogate keys? What is the best approach to building the models? How can I use the Scorecard system to validate a data model? Includes over 30 exercises to reinforce concepts and sharpen your skills!