Types of Data zPredefined Data Items: yNumerical/alphabetical items whose meaning and format are...
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Transcript of Types of Data zPredefined Data Items: yNumerical/alphabetical items whose meaning and format are...
Types of DataPredefined Data Items:
Numerical/alphabetical items whose meaning and format are specified explicitly.
Common in transaction oriented systemsText:
A series of characters; meaning is not importantImagesAudioVideo
Logical Vs Physical Views of Data
A logical view of data expresses the way a user thinks about the data Usually expressed in terms of a data model.
A physical view of data is the way computers handle the data, i.e., the storage and retrieval of it. Usually stated in terms of specific locations
on storage devices plus techniques used to access it
Data Access Methods
Sequential Access: Individual records within a file are processed in sequence.
Direct Access: The individual item in the file is accessed directly.
Indexed Access: Uses a table(index) to locate the required piece of data. Often called ISAM(Indexed Sequential
Access Method)
Transaction Processing
Logical Reference: Identifies the data that a programmer wants but does not specify how to find the data.
Record Locking: The ability to lock the specific record temporarily to prevent access by any other process until it is unlocked.
Distributed Databases
Databases, parts of which exist in different locations.
Two Phase Commit: A technique used to maintain consistency across the databases.
Database Replication is a common alternative to distributed databases.
Tradeoffs Between Centralized and Distributed Architectures
Cost of data transmission.
Costs of synchronizing distributed parts of the database.
Degree to which the entire database must be current at all times.
Data Warehouse
A large database that is a collection of data from smaller databases.
Used to support decision making.Updated less frequently than say for
example transaction databases.Supports fast online queries and
quick summaries for managers.
Data Warehouse (Contd.)
Global in view.Data mart is a subset of a data
warehouse that provides data about a specific function or a department.
Can “drill down” into several layers of data to locate a problem or an opportunity
Queries are often multidimensional in nature.
Capabilities a good DBMS must possess
Controlling Redundancy Problems with redundancy:
Need for single logical updateWaste of storage spaceInconsistency
Restricting Unauthorized Access Provide a security and authorization
subsystem
Capabilities a good DBMS must possess
Persistent Storage for Program Objects and Data Structures Persistent Objects: Survive the termination of
program execution and can later be directly retrieved.
Cause of emergence of object-oriented DBMS.Database Inferencing Using Deduction
Rules (called deductive database systems)
Capabilities a good DBMS must possess
Providing Multiple User Interfaces.Representing Complex Relationships
among Data.Enforcing Integrity Constraints
Specifying data type for each data item. Specifying that records in one file must
be related to records in other files.Providing Backup and Recovery.
Implications of the Database Approach
Potential for Enforcing StandardsReduced Application Development
TimeFlexibilityAvailability of Up-to-Date InformationEconomies of Scale
Factors Related to Information Usefulness
Information Quality
Information Accessibility
Information Presentation
Issues Related to Information Quality
Accuracy: The extent to which the information represents what it is supposed to represent
Precision: Fineness of detail in the portrayal
Completeness: Extent to which the available information is adequate for the task
Issues Related to Information Quality
Age: Amount of time that has passed since the data were produced.
Timeliness: Extent to which the age of the data is appropriate for the task and the user
Source: The person or organization that produced the data
Issues Related to Information Accessibility
Availability: Extent to which the necessary information exists and can be accessed effectively by people who need it
Admissibility: Whether or not use of the information is legal or culturally appropriate in this situation
Issues Related to Information Presentation
Level of Summarization: Comparison between number of items in the original data and number of items displayed.
Format: Form in which information is displayed to the user.
Issues Related to Information Security
Access Restriction: Procedures and techniques controlling who can access what information under what circumstances.
Encryption: Converting data to a coded from that unauthorized users cannot decode