3. • Define data and information
• Describe types of data
• Describe the evolution of storage architecture
• Describe the core elements of a data center
• List the key characteristics of data center
• Provide an overview of virtualization and cloud computing
3
Introduction to Information Storage
4. Why Information Storage and
Management?
• Information is the knowledge derived from data
• Growth of digital information has resulted in information
explosion
• We live in an on-command, on-demand world
4 We need information when and where required
• Increasing dependency on fast and reliable access to
information
• Businesses seek to store, protect, optimize, and
leverage the information
4 To gain competitive advantage
4 To derive new business opportunity
4
5. What is Data?
• Data is converted into more
convenient form − digital
data
• Factors for digital data
growth are:
4 Increase in data-processing
capabilities
4 Lower cost of digital storage
4 Affordable and faster
communication technology
4 Proliferation of applications
and smart devices
5
It is a collection of raw facts from which conclusions may be drawn.
Data
01010101010
10101011010
00010101011
01010101010
10101010101
01010101010
Digital Movie
Digital Photo
e-Book
email
Digital Data
10101011010
00010101011
10101010101
Photo
Book
Letter
Movie
7. Types of Data
• Data can be classified as:
4 Structured
4 Unstructured
• Majority of data being
created is unstructured
7
Contracts
Images
Manuals
X-rays
Instant Messages
Forms
email Attachments
Documents
PDFs
Web Pages
Audio, Video
Invoices
Rich Media
Structured (10%)
Database
Unstructured (90%)
9. Big Data
• Includes both structured and unstructured data
generated by variety of sources
• Big data analysis in real time requires new techniques
and tools that provide:
4 High performance
4 Massively parallel processing (MPP) data platforms
4 Advanced analytics
• Big data analytics provide an opportunity to translate
large volumes of data into right decisions
9
It refers to data sets whose sizes are beyond the ability of commonly used
software tools to capture, store, manage, and process within acceptable
time limits.
Big Data
10. Storage
• Stores data created by individuals and organizations
4 Provides access to data for further processing
• Examples of storage devices are:
4 Media card in a cell phone or digital camera
4 DVDs, CD-ROMs
4 Disk drives
4 Disk arrays
4 Tapes
10
11. Evolution of Storage Architecture
11
Department 1
Server
Department 2
Server
Department 3
Server
Server-centric Storage Architecture
Information-centric Storage Architecture
Department 1
Server
Department 2
Server
Department 3
Server
Storage Device
Storage
Network
12. Data Center
• Core elements of a data center
4 Application
4 Database management system (DBMS)
4 Host or Compute
4 Network
4 Storage
• These core elements work together to address data-
processing requirements
12
It is a facility that contains storage, compute, network, and other IT
resources to provide centralized data-processing capabilities.
Data Center
13. Data Center: Online Order
Transaction System Example
13
LAN/WAN
Storage
Network
Client
User
Interface
Host/
Compute
OS and DBMS
Storage Array
14. Key Characteristics of a Data Center
14
Availability
Data Integrity Security
Capacity
Scalability
Performance
Manageability
15. Managing Data Center
• Key management activities include
4 Monitoring
8 Continuous process of gathering information on various elements
and services running in a data center
4 Reporting
8 Details on resource performance, capacity, and utilization
4 Provisioning
8 Configuration and allocation of resources to meet the capacity,
availability, performance, and security requirements
• Virtualization and cloud computing have changed the
way data center infrastructure resources are
provisioned and managed
15
