w4_2_Data Knowledge Mgmt 1_Sp12

w4_2_Data Knowledge Mgmt 1_Sp12 - Data and Knowledge...

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Unformatted text preview: Data and Knowledge Management 1 Agenda 1. Review 2. Data & Knowledge Management (Ch. 4) DBMS ER Diagram IE 332 2.1.12 Notes 2 Labs on MERP introduction tomorrow (Th) Bring your laptop to lab (sorry, no MACs) MERP guidelines are posted on BB Review Four ways of authentication? Cigna Corporation Fire Walls VPN vs. SSL 3 Lab 2 review: What is the difference? 2D vs. 3D How are they different? What are the biggest challenges in 3D modeling? 4 Data and Knowledge Management Objectives: 1. Recognize the importance of data , the issues involved in managing these data, and the data life cycle 2. Describe the sources of data and explain how data are collected 3. Explain the advantages of the database approach 4. Explain the operation of data warehousing and its role in decision support 5. Explain data governance and how it helps producing high-quality data 6. Define Knowledge and describe the different types of knowledge 5 Examples of Data Sources e-mails Credit card swipes RFID tags Digital video surveillance Radiology scans Blogs 6 Students added: e-books; news; medical tests; ATM transactions; more? transactions; more?...
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This note was uploaded on 02/22/2012 for the course IE 332 taught by Professor Staff during the Spring '08 term at Purdue University-West Lafayette.

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w4_2_Data Knowledge Mgmt 1_Sp12 - Data and Knowledge...

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