1. STORAGE MANAGEMENT Introduction to Information Storage and Management - 1

2. LECTURE 1 Introduction to Information Storage and Management - 2

3. Intorduction to information storage technology: Review data creation and the amount of data being created and understand the value of data to a business

4. Upon completion of this lecture, you will be able to:  Describe the importance of information to individuals and to businesses  Define data and information  Discuss the categories of data  Describe the storage architectures and their evolution Introduction to Information Storage and Management - 4

5.  “Digital universe – The Information Explosion” ◦ 21 st 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, search engines etc  Information management is a big challenge ◦ Organization seek to Store Protect Optimize Leverage the information optimally Introduction to Information Storage and Management - 5

6.  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  Who creates data? ◦ Individuals ◦ Businesses Introduction to Information Storage and Management - 6 “Collection of raw facts from which conclusions may be drawn” 01010101010 10101011010 00010101011 01010101010 10101010101 01010101010 Video Photo Book Letter Digital Data

7.  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 Introduction to Information Storage and Management - 7 Rows and Columns 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%)

8.  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  Virtuous cycle of information ◦ Information begets information Introduction to Information Storage and Management - 8

9. Introduction to Information Storage and Management - 9 Users of Information Centralized information storage and processing Uploading information Accessing information WiredWireless WiredWireless Network Demand for more Information Creators of information Virtuous cycle of information

10.  Creating a competitive advantage ◦ Identifying new business opportunities  Buying/spending patterns  Internet stores, retail stores, supermarkets  Customer satisfaction/service  Tracking shipments, and deliveries ◦ Identifying patterns that lead to changes in existing business  Reduced cost  Just-in-time inventory, eliminating over-stocking of products, optimizing shipment and delivery  New services  Security alerts for “stolen” credit card purchases  Targeted marketing campaigns  Communicate to bank customers with high account balances about a special savings plan Introduction to Information Storage and Management - 10

11.  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) ◦ Centralized: Storage Networking (Hugh respositories ) Introduction to Information Storage and Management - 11

12. Introduction to Information Storage and Management - 12 IP SAN Multi Protocol Router SAN / NAS FC SAN LAN RAID Array JBOD Internal DAS Time

13. Key points covered in this lesson:  Importance of information  Data, information and storage  Categories of data  Storage architectures and their evolution Introduction to Information Storage and Management - 13

14.  Challenges in Data Storage and Management Introduction to Information Storage and Management - 14

15. Upon completion of this lecture, you will be able to:  List the five core elements of a data center infrastructure  Describe the requirements of storage systems for optimally supporting business activities  Explain the importance of Information Lifecycle Management  List the activities in developing the ILM strategy Introduction to Information Storage and Management - 15

16.  Applications  Databases – Database Management System (DBMS) and the physical and logical storage of data  Servers/Operating systems  Networks (LAN and SAN)  Storage arrays Data Center Infrastructure - 16

17. 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 Data Center Infrastructure - 17 Local Area Network Storage Area Network Storage Array Client Server Application User Interface OS and DBMS Database

18.  A customer order is entered via the Application User Interface on a client Data Center Infrastructure - 18 Local Area Network Storage Area Network Client Server Application User Interface Storage Array OS and DBMS Database

19.  A customer order is entered via the Application User Interface on a client  The client accesses the server over a Local Area Network Data Center Infrastructure - 19 Storage Area Network Client Server Storage Array Local Area Network OS and DBMS Database

20.  A DBMS uses the operating system on the server to read and write this data to the physical location on a disk Data Center Infrastructure - 20 Storage Area Network Client Server O/S and DBMS Storage Array Local Area Network Database

21.  A DBMS uses the operating system on the server to read and write this data to the physical location on disk  A dedicated Storage Area Network provides the communication link between the server and the storage array, and transports the read/write commands and data between the server and the storage array Data Center Infrastructure - 21 Storage Area Network Client Server Storage Array Local Area Network O/S and DBMS Database

22.  A DBMS uses the operating system on the server to read and write this data to the physical location on disk  A Network provides the communication link between the client and the server, and transports the read/write commands and data between the server and the storage array  A storage array receives the read/write commands and data from the server and performs the necessary operations to store the data on the physical disks Data Center Infrastructure - 22 Storage Area Network Client Server Storage Array Local Area Network Database

23.  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 Data Center Infrastructure - 23

24. When the DBMS receives a request from the application:  It first searches the server memory; if data is found there, the operation takes about a millisecond  If not, it uses the operating system to request the data from the storage array  Dedicated high speed networks transport this request to the storage array  Intelligent storage arrays can deliver the requested data within a few milliseconds, and are typically configured to protect data in the event of drive failures Data Center Infrastructure - 24

25. Introduction to Information Storage and Management - 25 Availability Data Integrity Security Capacity Scalability Performance Manageability

26.  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. Introduction to Information Storage and Management - 26

27. Constraints include:  Cost  Physical environment  Maintenance and support  Compliance – regulatory and legal  Hardware and software infrastructure  Interoperability and compatibility Data Center Infrastructure - 27

28. Data Center management activities include:  Provisioning/Capacity/Resource Planning  Monitoring  Reporting Data Center Infrastructure - 28

29.  Data Storage Infrastructure  Information Lifecycle Introduction to Information Storage and Management - 29

30. Introduction to Information Storage and Management - 30 CreateAccess Migrate ArchiveDispose 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

31. Introduction to Information Storage and Management - 31 Policy-based Alignment of Storage Infrastructure with Data Value AUTOMATED FLEXIBLE Classify data / applications based on business rules Implement policies with information management tools Integrated management of storage environment Organize storage resources to align with data classes

32.  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 information value Introduction to Information Storage and Management - 32

33. Key points covered in this lesson:  The five core elements of a Data Center infrastructure  Key requirements of storage systems to support business activities, as well as some of the constraints  ILM strategy ◦ Importance ◦ Characteristics ◦ Activities in developing ILM strategy ◦ IML implementation ◦ Benefits of ILM Introduction to Information Storage and Management - 33

34. Key points covered in this Chapter:  Importance of data, information, and storage infrastructure  Types of data, its value, and key management requirements of a storage system  Evolution of storage architectures  Core elements of a data center  Importance of the ILM strategy Introduction to Information Storage and Management - 34

35.  What are the two categories of data?  What are the five core technology elements of the Data Center Infrastructure?  What are the seven requirements of storage technology?  What are the benefits of ILM Introduction to Information Storage and Management - 35