05-04-2012, 05:04 PM
INFORMATION STORAGE AND MANAGEMENT
FINAL SEMINAR.pptx (Size: 692.53 KB / Downloads: 45)
What is Data
Collection of raw facts from which conclusions may be drawn”
Most data is being converted into a digital format
Driven by user demand
Facilitated by
Increase in data processing capabilities
New and cheaper peripherals
Lower cost and increased speed of storage
Affordable and faster networks
Storage
Data created by individuals/businesses must be stored for further processing
Type of storage used is based on the type of data and the rate at which it is created and used
Examples:
Individuals: Digital camera, Cell phone, DVD’s, Hard disk
Businesses: Hard disk, external disk arrays, tape library
Storage model: An evolution
Centralized: mainframe computers
Decentralized: Client – server model (Data spread across many servers)
Data Center Infrastructure
The core elements
Applications
Databases – Database Management System (DBMS) and the physical and logical storage of data
Servers/Operating systems
Networks (LAN and SAN)
Storage arrays
Optimal Order Processing Example
The application should be optimized for fast interaction with the DBMS
The tables in the database should be constructed with care so the number of read/write operations can be minimized
The server should have sufficient CPU and memory resources to satisfy application and DBMS needs
The different networks should provide fast communication between client and server, as well as server and storage array
The storage array should service the read/write requests from the server for optimal performance
Challenges in Managing Information
Exploding digital universe
Multifold increase of information growth
Increasing dependency on information
The strategic use of information plays
Changing value of information
Information that is valuable today may become less important tomorrow.