Complete SS3 Data Processing Lesson Note

Description

These lesson notes cover the following topics for SS3 First and Second Term Data Processing:

FIRST TERM

• REVISION
• INDEXES:- Definition, Clustered versus Unclustered indexes
• INDEXES:- Dense versus Sparse, Primary and Secondary Indexes, Indexes using Composite Search Keys
• MAINTENANCE OF COMPUTER:- Computer Hardware, Process Of Maintaining Hardware
• MAINTENANCE OF COMPUTER:- Procedure for Software Maintenance, Software for Hardware and Software Maintenance
• DATABASE SECURITY:- Definition and Explanation, Access Control and Encryption
• DATABASE SECURITY:- Importance, Integrity and Availability, the Role of a Database Administrator
• CRASH RECOVERY:- Introduction to ARIES, other Recovery Related Data Structure.
• CRASH RECOVERY:- Definition and Explanation of Check Pointing, Explain Media Recovery
• REVISION
• EXAMINATION

REFERENCE TEXTBOOK: UNDERSTANDING DATA PROCESSING for SENIOR SECONDARY SCHOOLS BY: DINEHIN VICTORIA

SECOND TERM EXCEPT

Parallel database

A parallel database system seeks to improve performance through parallelization of various operations, such as loading data, building indexes and evaluating queries. Although data may be stored in a distributed fashion, the distribution is governed solely by performance considerations. Parallel databases improve processing and input/output speeds by using multiple CPUs and disks in parallel. Centralized and client–server database systems are not powerful enough to handle such applications. In parallel processing, many operations are performed simultaneously, as opposed to serial processing, in which the computational steps are performed sequentially.

Architectures of parallel Database

Shared memory architecture

Where multiple processors share the main memory (RAM)space but each processor has its own disk (HDD). If many processes run simultaneously, the speed is reduced, the same as a computer when many parallel tasks run and the computer slows down.

Shared disk architecture

Where each node has its own main memory, but all nodes share mass storage, usually a storage area network. In practice, each node usually also has multiple processors.

Shared nothing architecture

Where each node has its own…

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