Chapter 9 – Data design. Chapter 9 describes data design terms, concepts, and skills including entity-relationship diagrams, cardinality, data normalization rules, data warehousing, data mining, a comparison of logical and physical records, and data control measures.
This module provides an in-depth discussion of logical data design. Students
examine the relationship of logical data design to conceptual design. Logical
entities, their attributes, and the relationships among them are extensively
examined. Finally, students learn how to create a logical data model from
entities, attributes, and relationships.
The logical data design is the middle stage of the natural progression from
conceptual design to physical design. The process of deriving a logical data
design from the conceptual data design accomplishes the following:
Translates conceptual data needs into real data requirements.
You must turn the conceptual data needs identified during conceptual design
into actual entities and relationships that will define how the data interacts.
Helps organize your thinking about the data.
This module provides students with instruction in the basics of normalizing a
logical data design. To be able to normalize a database, students need to
understand primary and foreign keys and how to use keys to represent
relationships between entities. This module teaches students how to normalize
data only to third normal form.
Keys are identifying values assigned to each instance of an entity within a data
model. As you learned in Module 4, Deriving a Logical Data Design, entities
within a data model represent a grouping of information about people, places,
objects, or ideas. When you begin to move a logical design to a physical design,
you use keys to uniquely identify each instance of an entity within the data
This activity requires the use of the optimization techniques discussed in this
module. You will consider ways to optimize a physical data design for
insertions, updates, and deletions, as well as any nonfunctional requirements
specified by the activitys scenario.
Data design is an essential part of the application development cycle. By analogy,
building an application is like building a house. Having the right tools is important,
but we need a solid foundation: the data structure. However, producing a good data
structure can be a daunting challenge; the quest for a perfect data structure can lead
us to new territories where many methods are available. Which one is the best? How
can we keep our focus on the goal to achieve, without losing our time?
At the end of this module, you will be able to:
" Derive a physical data design for tables and fields from a logical data
" Analyze data-usage characteristics to optimize a physical data design.
Determine methods for implementing relationships in a physical data
Identify different optimization techniques.
Determine the proper criteria for optimizing a physical data design.
A set of the same kind of data processed by a computer is called a "data type." In the program design stage,
the way data should be represented and programmed into a computer must be examined carefully, so that
the most appropriate data type can be chosen. A data type that is represented and programmed is called a
There are several good mechanical engineering data books on the market but these tend to be very bulky and
expensive, and are usually only available in libraries as reference books.
The Mechnical Engineer’s Data Handbook has been compiled with the express intention of providing a
compact but comprehensive source of information of particular value to the engineer whether in the design office,
drawing office, research and development department or on site.
Power Designer là 1 công cụ thiết kế CSDL. Với Power Designer bạn có thể :
Thiết kế Conceptual Data model (CDM) bằng sơ đồ thực thể kết hợp
Phát sinh Physical Data Model (PDM) tương ứng trên một DBMS được chọn.
Phát sinh kích bản tạo CSDL trên một DBMS đích.
Phát sinh ràng buột toàn vẹn tham chiếu (referential integrity triggers) nếu chúng được hổ trợ
bởi CSDL đích.
Cho phép hiệu chỉnh và in các model.
This course manual teaches you how to use LabVIEW to develop test and measurement, data acquisition, instrument control, datalogging, measurement analysis, and report generation applications. This course manual assumes that you are familiar...
As a consultant, the process of designing and developing technology-based solutions
is one that you get to know intimately, thanks to iteration. Having been
involved in a dozen or more projects in the past few years, I came to realize that a
common component exists at the center of every one of those solutions. That component
is the data storage system.
The data center is home to the computational power, storage, and applications necessary to support an enterprise business. The data center infrastructure is central to the IT architecture, from which all content is sourced or passes through. Proper planning of the data center infrastructure design is critical, and
performance, resiliency, and scalability need to be carefully considered.
Alciatore/Histand Introduction to Mechatronics and Measurement System Anderson Fundamentals of Aerodynamics Anderson Introduction to Flight Anderson Modern Compressible Flow Barber Intermediate Mechanics of Materials Beer/Johnston Vector Mechanics for Engineers Beer/Johnston Mechanics of Materials Budynas Advanced Strength and Applied Stress Analysis Budynas/Nisbett Shigley’s Mechanical Engineering Design Cengel Heat Transfer: A Practical Approach Cengel Introduction to Thermodynamics & Heat Transfer Cengel/Boles Thermodynamics: An Engineering Approach Cengel/Clmbala Fluid Mechanics: Fund...
This Solution Reference Network Design (SRND) provides a description of the design issues related to
optimizing server and application environments. Server farms are built to provide a highly available,
scalable infrastructure that on which applications ru . As enterprises grow, so do their application needs
which implies that more and more expenditures are allotted for additional application-specific softwar
and server requirements. This increase in bottom line expenses heightens the sensitivity to overall retur
Clusters define a collection of servers that operate as if they were a single machine. The primary purpose
of high availability (HA) clusters is to provide uninterrupted access to data, even if a server loses
network or storage connectivity, or fails completely, or if the application running on the server fails.
HA clusters are mainly used for e-mail and database servers, and for file sharing. In their most basic
implementation, HA clusters consist of two server machines (referred to as “nodes”) that “share”
This book is designed to facilitate a thorough understanding of fundamental principles without requiring readers to memorize an excess of confusing technological details. Rather than focusing on techniques for one particular phase of design, it covers the complete design process, from specification to manufacturing
Cisco Data Center Infrastructure Design Guide 2.1 Release Notes. This Release Note highlights the changes in Versions 1, 2 and 2.1 of this guide, and describes the
hardware and software components that have been validated for each version.