Chapter 8 Notes

Chapter 8 Notes - Chapter 8 Analyzing Systems Using Data...

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1 Chapter 8 Analyzing Systems Using Data Dictionaries Systems Analysis and Design Seventh Edition 2 Learning Objectives ± Understand analysts use of data dictionaries for analyzing data-oriented systems ± Create data dictionary entries for data processes, stores, flows, structures, and logical and physical elements of the systems being studied, based on DFDs ± Understand the concept of a repository for analysts’ project information and the role of CASE tools in creating them ± Recognize the functions of data dictionaries in helping users update and maintain information systems
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2 3 Major Topics ± Data dictionary concepts ± Defining data flow ± Defining data structures ± Defining elements ± Defining data stores ± Using the data dictionary ± Data dictionary analysis 4 Cataloging ± Data flow diagrams can be used to catalog ± Data processes ± Flows ± Stores ± Structures ± Elements ± Cataloging takes place with the data dictionary ± Reference work of data about data (metadata)
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3 5 Data Dictionary ± Data dictionary ± A main method for analyzing the data flows and data stores of data-oriented systems. ± A central storehouse of information about the system’s data ± A reference work of data about data (metadata). ± Defines and describes all data elements and meaningful combinations of data elements ± Collects, coordinates, and confirms what a specific data term means to different people in the organization. 6 Reasons for Using a Data Dictionary Useful for the following reasons: ± Provide documentation. ± Eliminate redundancy. ± Validate the data flow diagram. ± Provide a starting point for developing screens and reports. ± To develop the logic for DFD processes. ± An analyst uses the data dictionary to collect, document, and organize specific facts about the system
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4 7 The Repository ± A data repository is a large collection of project information. ± It includes: ± Information about system data. ± Procedural logic. ± Screen and report design. ± Relationships between entries. ± Project requirements and deliverables. ± Project management information. 8 Data Dictionary Contents Data dictionaries contain: ± Data Flow. ± Data Stores. ± Data structures ± A combination of Data Elements ± Also known as Data Records ± Example: An auto part store inventory record include part number, supplier code, description, min. / max stock level, list price ± Data Elements ± Smallest piece of information that has meaning within an Information System. ± Example: Student grade, student id, ssn, etc.
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5 9 Relationship among items in Dictionary ± Data stores and Data Flows are based on Data Structures. ± Data structures in turn are composed of data elements ± Data Flows are connected to data stores, entities and processes ± Accurately documenting these relationships are essential. 10
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This note was uploaded on 04/18/2008 for the course CSIS 2210 taught by Professor Aakash during the Spring '08 term at Stockton.

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Chapter 8 Notes - Chapter 8 Analyzing Systems Using Data...

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