Data Analysis for Database Design

Data Analysis for Database Design
Author: David Howe
Publisher: Butterworth-Heinemann
Total Pages: 344
Release: 2001-06-26
Genre: Computers
ISBN: 9780750650861

Database systems -- Database management system architecture -- Tables -- Redundant vs duplicated data -- Repeating groups -- Determinants and identifiers -- Fully-normalised tables -- Introduction to entity-relationship modelling -- Properties of relationships -- Decomposition of many-many relationships -- Connection traps -- Skeleton entity-relationship models -- Attribute assignment -- First-level design -- Second-level design -- Distributed database systems -- Relational algebra -- Query optimisation -- The SQL language -- Object-orientation.

Research Issues in Systems Analysis and Design, Databases and Software Development

Research Issues in Systems Analysis and Design, Databases and Software Development
Author: Siau, Keng
Publisher: IGI Global
Total Pages: 286
Release: 2007-04-30
Genre: Computers
ISBN: 1599049287

Presents the capabilities and features of new ideas and concepts in the information systems development, database, and forthcoming technologies. Provides a representation of topnotch research in all areas of systems analysis and design and databases.

Research Basics

Research Basics
Author: James V. Spickard
Publisher: SAGE Publications
Total Pages: 610
Release: 2016-09-15
Genre: Social Science
ISBN: 1483387232

Research Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based on author James V. Spickard’s decades of teaching experience. Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model’s simplicity and power, effectively connecting the “hows” and “whys” behind social science research. Students using this book will learn how to turn their research questions into results.

Beginning Database Design

Beginning Database Design
Author: Gavin Powell
Publisher: John Wiley & Sons
Total Pages: 496
Release: 2006
Genre: Computers
ISBN: 0764574906

From the #1 source for computing information, trusted by more than six million readers worldwide.

Database Design and Implementation

Database Design and Implementation
Author: Edward Sciore
Publisher: Springer Nature
Total Pages: 468
Release: 2020-02-27
Genre: Computers
ISBN: 3030338363

This textbook examines database systems from the viewpoint of a software developer. This perspective makes it possible to investigate why database systems are the way they are. It is of course important to be able to write queries, but it is equally important to know how they are processed. We e.g. don’t want to just use JDBC; we also want to know why the API contains the classes and methods that it does. We need a sense of how hard is it to write a disk cache or logging facility. And what exactly is a database driver, anyway? The first two chapters provide a brief overview of database systems and their use. Chapter 1 discusses the purpose and features of a database system and introduces the Derby and SimpleDB systems. Chapter 2 explains how to write a database application using Java. It presents the basics of JDBC, which is the fundamental API for Java programs that interact with a database. In turn, Chapters 3-11 examine the internals of a typical database engine. Each chapter covers a different database component, starting with the lowest level of abstraction (the disk and file manager) and ending with the highest (the JDBC client interface); further, the respective chapter explains the main issues concerning the component, and considers possible design decisions. As a result, the reader can see exactly what services each component provides and how it interacts with the other components in the system. By the end of this part, s/he will have witnessed the gradual development of a simple but completely functional system. The remaining four chapters then focus on efficient query processing, and focus on the sophisticated techniques and algorithms that can replace the simple design choices described earlier. Topics include indexing, sorting, intelligent buffer usage, and query optimization. This text is intended for upper-level undergraduate or beginning graduate courses in Computer Science. It assumes that the reader is comfortable with basic Java programming; advanced Java concepts (such as RMI and JDBC) are fully explained in the text. The respective chapters are complemented by “end-of-chapter readings” that discuss interesting ideas and research directions that went unmentioned in the text, and provide references to relevant web pages, research articles, reference manuals, and books. Conceptual and programming exercises are also included at the end of each chapter. Students can apply their conceptual knowledge by examining the SimpleDB (a simple but fully functional database system created by the author and provided online) code and modifying it.

Valuepack

Valuepack
Author: Thomas Connolly
Publisher: Addison-Wesley
Total Pages:
Release: 2005-08-01
Genre:
ISBN: 9781405836562

Visualization Analysis and Design

Visualization Analysis and Design
Author: Tamara Munzner
Publisher: CRC Press
Total Pages: 422
Release: 2014-12-01
Genre: Business & Economics
ISBN: 1466508930

Learn How to Design Effective Visualization SystemsVisualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques

Design and Analysis of Data Structures

Design and Analysis of Data Structures
Author: Liz Izhikevich
Publisher:
Total Pages: 334
Release: 2018-05-09
Genre:
ISBN: 9781981017232

This is a print companion to the Massive Open Online Course (MOOC), Data Structures: An Active Learning Approach (https://www.edx.org/course/data-structures-an-active-learning-approach), which utilizes the Active Learning approach to instruction, meaning it has various activities embedded throughout to help stimulate your learning and improve your understanding of the materials we will cover. While this print companion contains all STOP and Think questions, which will help you reflect on the material, and all Exercise Breaks, which will test your knowledge and understanding of the concepts discussed, we recommend utilizing the MAIT for all Code Challenges, which will allow you to actually implement some of the algorithms we will cover.

Data Analysis for Experimental Design

Data Analysis for Experimental Design
Author: Richard Gonzalez
Publisher: Guilford Press
Total Pages: 458
Release: 2009-01-01
Genre: Psychology
ISBN: 1606230174

This engaging text shows how statistics and methods work together, demonstrating a variety of techniques for evaluating statistical results against the specifics of the methodological design. Richard Gonzalez elucidates the fundamental concepts involved in analysis of variance (ANOVA), focusing on single degree-of-freedom tests, or comparisons, wherever possible. Potential threats to making a causal inference from an experimental design are highlighted. With an emphasis on basic between-subjects and within-subjects designs, Gonzalez resists presenting the countless "exceptions to the rule" that make many statistics textbooks so unwieldy and confusing for students and beginning researchers. Ideal for graduate courses in experimental design or data analysis, the text may also be used by advanced undergraduates preparing to do senior theses. Useful pedagogical features include: Discussions of the assumptions that underlie each statistical test Sequential, step-by-step presentations of statistical procedures End-of-chapter questions and exercises Accessible writing style with scenarios and examples This book is intended for graduate students in psychology and education, practicing researchers seeking a readable refresher on analysis of experimental designs, and advanced undergraduates preparing senior theses. It serves as a text for graduate level experimental design, data analysis, and experimental methods courses taught in departments of psychology and education. It is also useful as a supplemental text for advanced undergraduate honors courses.