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Information System Overview 2110213 Information System Organization Natawut Nupairoj, Ph.D. Department of Computer Engineering Chulalongkorn University IS Overview Natawut Nupairoj, Ph.D. 1 Outline Basic Terminologies Data /


  1. Information System Overview 2110213 Information System Organization Natawut Nupairoj, Ph.D. Department of Computer Engineering Chulalongkorn University IS Overview Natawut Nupairoj, Ph.D. 1

  2. Outline � Basic Terminologies � Data / Information / Knowledge � IS & IT � Infrastructure � Case Studies � IT Infrastructure IS Overview Natawut Nupairoj, Ph.D. 2

  3. Defining the Terms Data: (source: Webster Online Dictionary) 1 : factual information (as measurements or statistics) used as a basis for reasoning, discussion, or calculation 2 : information output by a sensing device or organ that includes both useful and irrelevant or redundant information and must be processed to be meaningful 3 : information in numerical form that can be digitally transmitted or processed IS Overview Natawut Nupairoj, Ph.D. 3

  4. Defining the Terms Information: (source: Webster Online Dictionary) a (1) : knowledge obtained from investigation, study, or instruction (2) : INTELLIGENCE, NEWS (3) : FACTS, DATA b : the attribute inherent in and communicated by one of two or more alternative sequences or arrangements of something (as nucleotides in DNA or binary digits in a computer program) that produce specific effects c (1) : a signal or character (as in a communication system) representing data (2) : something (as a message, experimental data, or a picture) which justifies change in a construct (as a plan or theory) that represents physical or mental experience or another construct d : a quantitative measure of the content of information; specifically : a numerical quantity that measures the uncertainty in the outcome of an experiment to be performed IS Overview Natawut Nupairoj, Ph.D. 4

  5. Information Abstraction Knowledge Caller Behaviors Calling Patterns Information Data Call Detail Records IS Overview Natawut Nupairoj, Ph.D. 5

  6. Size of Information � How much computer storage is needed? � Bits, bytes, kilobytes, megabyte, terabyte, petabytes � Examples: � Library of Congress: 3 PB � 20 TB for Books (20M books) � 13 TB for Photographs (13M photographs) � 200 TB for Maps (4M maps) � 500 TB for Movies (500K Movies) � 2,000 TB for CDs (3.5M sound recordings) � NASA Satellite Image DL: collection of 2 TB/day IS Overview Natawut Nupairoj, Ph.D. 6

  7. Most common information today? � Data records � Structured data � Text, web pages, documents � Unstructured, or semi-structured data � Images, video, music, voice,…. � Multimedia data, multimedia documents � Spatial/geographic data � Maps, spatial analysis data, census data, etc. IS Overview Natawut Nupairoj, Ph.D. 7

  8. What is Information System ? “Application or system that provides information to aid organizational decision making.” Example: � Student registration system. � Classroom reservation system. � Gamer logging and reporting system. IS Overview Natawut Nupairoj, Ph.D. 8

  9. IS vs. IT Payroll System Inventory System INFORMATION TECHNOLOGIES • Hardware INFORMATION • Software SYSTEMS • Databases Marketing System • Networks • Other related components Customer Service System IS Overview Natawut Nupairoj, Ph.D. 9

  10. Types of Information System � By coverage � Personal, work-group, enterprise-wide � By types of decision � Operational, tactical, strategic � By business functions � Marketing, operation, accounting, HR IS Overview Natawut Nupairoj, Ph.D. 10

  11. Case Study #1 � Personal Information System � Information Address book � Calendar � Bank accounts, bills � Class schedule � Email � Homework, labs � Travel booking system, maps, places � Friends, photos, music � � Computer infrastructure Home and lab computers, PDA, mobile phone, camera, backup, ipod � IS Overview Natawut Nupairoj, Ph.D. 11

  12. Case Study #2 � WWW-based E-commerce system: (Think Amazon!) � Massive amounts of products Search, update, pricing � Internal ordering and supply chain management � � Integration of third party sellers � Customer database system � Ordering system, deliver systems � Recommendation system � Scalability, and availability IS Overview Natawut Nupairoj, Ph.D. 12

  13. Case Study #3 � NASA Earth Science Data Enterprise Several satellites, each with several remote sensing instruments � collecting raw data (2 TB/day) Data storage and post-processing at NASA Distributed Active Archive � Centers (DAAC) Data Analysis and Feature Extraction by scientists � Integration with other geographical and environmental data � Usage for precision agriculture � IS Overview Natawut Nupairoj, Ph.D. 13

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