Information Storage System

8/2/2019 Information Storage System

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Information Storage System

Submitted By

Ni.

Ki

Cs 7th sem


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Objectives

During our presentation, we will discuss on

following topics:

Why we need Information storage.

What is Data and information.

Information Storage Technology.

Challenges in Information management. Information Lifecycle Management.


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Why Information Storage

Digital universe The Information Explosion 21st Century is information era

Information is being created at ever increasing rate

Information has become critical for success

We live in an on-command, on-demand world Example: Social networking sites, e-mails, video and

photo sharing website, online shopping, searchengines etc

Information management is a big challenge Organization seek to Store , Protect, Optimize and

Leverage the information optimally.


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What is DataCollection of raw facts from which conclusions may be drawn

Most data is beingconverted into a digital

format

Driven by user demand

Facilitated by Increase in data processing

capabilities

Lower cost and increased

speed of storage

Affordable and faster

networks

Who creates data?Individuals

Businesses

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Video

Photo

Book

LetterDigital Data


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Categories of Data

Data can be categorized as either structured or unstructured data

Structured:

Data Bases

Spread Sheets

Unstructured

Forms

Images

Audio

Movies

Over 80% of enterprise

Information is unstructured

Contracts

Images

Manuals

X-Rays

Instant Messages

Forms

E-Mail Attachments

Check

Documents

PDFs

Web Pages

Audio Video

Invoices

Rich Media

Structured (20%)

Unstructured (80%)


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Define Information

What do individuals/businesses do with the data they collect?

They turn it into information

Information is the intelligence and knowledge derived from data

Businesses analyze raw data in order to identify meaningful

trends

For example:

Buying habits and patterns of customers

Health history of patients


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Storage

Data created by individuals/businesses must be storedfor further processing

Type of storage used is based on the type of data andthe rate at which it is created and used

Examples: Individuals: Digital camera, Cell phone, DVDs, 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)

Centralized: Storage Networking (Hugh respositories)


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Storage Technology and Architecture

Evolution

Internal DASRAID Array

SAN / NAS

FC SANLAN

IP SAN

Multi Protocol

Router

Time


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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


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Example of a Data Center

Infrastructure

Consider an order processing system consisting of:

Application for order entry

Database Management System (DBMS) to store customer and product information

Server/Operating System (OS) on which the application and database programs are run

Networks that provide

Connectivity between Clients and the Application/Database Server (LAN)

Connectivity between the Server and the Storage system (SAN)

Storage Array database is stored on physical disks in the storage array

Local AreaNetwork

Storage AreaNetwork

Application

User Interface OS and

DBMSDatabase


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Process Flow

A customer order is entered via the Application UserInterface on a client.

The client accesses the server over a Local Area Network

A DBMS uses the operating system on the server to read

and write this data to the physical location on a disk A dedicated Storage Area Network provides the

communication link between the server and the storagearray, and transports the read/write commands and databetween the server and the storage array

A storage array receives the read/write commands anddata from the server and performs the necessaryoperations to store the data on the physical disks


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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.


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Some Constraints to Meeting the

Requirements

Constraints include:

Cost

Physical environment Maintenance and support

Compliance regulatory and legal

Hardware and software infrastructure Interoperability and compatibility


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Management Activities

Data Center management activities include:

Provisioning/Capacity/Resource Planning

Monitoring Reporting


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Information Lifecycle Management

Create Access Migrate Archive Dispose

New

order

Value

Process

order

Deliver

order

Warranty

claim

Fulfilled

order

Aged

data

Warranty

Voided

Protect

Time

A proactive strategy that enables an IT organization

to effectively manage the data throughout its lifecycle


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Information Lifecycle Management

Process

AUTOMATED

FLEXIBLE

Classify

data /

applications based

on business rules

Implement

policies with

information

management

tools

Integrated

management

ofstorage

environment

Organize

storage resources

to

align with data

classes

Policy-based Alignment of Storage Infrastructure with Data Value


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Benefits of Implementing ILM

Improved utilization

Tiered storage platforms

Simplified management

Processes, tools and automation

Simplified backup and recovery A wider range of options to balance the need for business continuity

Maintaining compliance

Knowledge of what data needs to be protected for what length of time

Lower Total Cost of Ownership

By aligning the infrastructure and management costs with informationvalue.


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Q & A