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CS 543 – Data Warehousing

CS 543 – Data Warehousing. Course Outline. Data Warehousing?. What is data warehousing? A paradigm specifically designed for strategic business information or decision making In essence, data warehousing is a data-driven decision-support system What is a data warehouse?

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CS 543 – Data Warehousing

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  1. CS 543 – Data Warehousing Course Outline

  2. Data Warehousing? • What is data warehousing? • A paradigm specifically designed for strategic business information or decision making • In essence, data warehousing is a data-driven decision-support system • What is a data warehouse? • It is an informational environment with the following characteristics: • provides an integrated and total view of the enterprise (data), current and historical, and makes it available easily for decision support • decision support transactions do not impact operational systems • maintains a consistent view of enterprise • provides flexible and interactive source of strategic information CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  3. Why Study DW? • New technologies (multidimensional modeling, business intelligence, OLAP, querying models, etc) • Research potential (data mining, business intelligence, ETL algorithms, multidimensional data analysis, query optimizations, etc) • Industry demand • High market value of DW experts • Fulfill degree requirements • Easy course, want to sleep through it :) CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  4. Description • This course will • cover the concepts and techniques in the design and construction of high-performance data warehouses • discuss business, software, hardware, and design factors influencing successful implementations of data warehouses • focus on both dimensional and relational data modeling • Distinguish between DSS (Decision Support System) and OLTP • Introduce OLAP and ETL algorithms and systems • Provide hands-on experience with data warehousing tools CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  5. Goals • Introduction to the concepts and techniques in data warehousing • Design and construction of high performing data warehouses • Hands-on experience with a commercial data warehousing tool (Teradata) • Motivation for research in large scale data analysis and business intelligence CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  6. Before Taking This Course… You should be comfortable with… • Basics of databases • CS 341 is a prerequisite • Fundamentals of RDMS; EER modeling; concept of normalization; querying; design and development exposure • Basics of programming and algorithms • CS 213 is a prerequisite • Understanding, evaluating, and implementing algorithms CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  7. After Taking this Course… You should be able to … • Design and construct data warehouses • Understand the concepts and techniques in data warehousing • Use a data warehouse to extract strategic information • Pursue further studies and research in data warehousing, large data analysis, business intelligence, and data mining • Work with a commercial data warehousing tool CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  8. Grading • Points distribution Labs/Assignments 20% Quizzes 15% Midterm exam 30% Final exam (comprehensive) 35% CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  9. Policies (1) • Quizzes • Quizzes may or may not be announced. If a quiz is announced it will be done 1 to 2 days in advance • Sharing • No copying is allowed for labs/assignments. Discussions are encouraged; however, you must submit your own work • Violators can face mark reduction and/or reported to Disciplinary Committee for action • Plagiarism • Do NOT pass someone else’s work as yours! Write in your words and cite the reference. This applies to code as well. • Violators can face mark reduction and/or reported to Disciplinary Committee for action CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  10. Policies (2) • Submission policy • Submissions are due at the day and time specified • Late penalties: 1 day = 10%; 2 day late = 20%; not accepted after 2 days • An extension will be granted only if there is a need and when requested several days in advance. • Rechecking policy • For quizzes and labs/assignments: No recheck request will be entertained after 2 days of return • For midterm exam: No recheck request will be entertained after 5 days of return (and should be made at the time of collection) • For final exam: No recheck request will be entertained after start of next quarter CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  11. Summarized Course Contents • DW fundamentals, need for a DW, decision support vs. transaction processing, evolution of a DW • Business requirements as the driving force for the DW, matching information to classes of users • Dimensional modeling • Architecture and Infrastructure, data extraction, transformation and loading, data quality • Selected de-normalizations, horizontal and vertical partitioning, materialized views • Physical design • Data mart design, web data warehousing • Current topics in data warehousing CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  12. Course Material • Primary text • P. Ponniah, Data Warehousing Fundamentals, John Wiley & Sons, 2001. • Supplementary text • C. Imhoff et al., Mastering Data Warehouse Design: Relational and Dimensional Techniques, John Wiley and Sons, 2003. • Other resources • Lecture slides • Handouts • Web resources • Books in library CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  13. Course Web Site • For annuncements, lecture slides, handouts, labs, assignments, quiz solutions, and web resources: http://suraj.lums.edu.pk/~cs543s05/ • The resource page has links to information available on the Web. It is basically a meta-list for finding further information. CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  14. Other Stuff • How to contact me? • Office hours: 10.30 to 12.30 MW (office: 429) • E-mail: akarim@lums.edu.pk • By appointment • Philosophy • Knowledge cannot be taught; it is learned. • Be excited. That is the best way to learn. I cannot teach everything in class. Develop an inquisitive mind, ask questions, and go beyond what is required. • I don’t believe in strict grading. But… there has to be a way of rewarding performance. CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  15. Pakistani Students… “It was good to see that the students were quite good at abstract discussions and given my teaching experience at foreign universities, I would rate the batch I taught as competitive. “My advice to Pakistani students is that they need to become aggressive learners and realise that a university education assumes that the student is mature enough to take control of his or her destiny.” - Dr. Raja Muhammad Atif Azad, Lemerick, Ireland • Appeared in Dawn: http://www.dawn.com/2006/03/02/letted.htm#4 CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  16. Reference Books in LUMS Library (1) • C. Imhoff et al., Mastering the data warehouse: relational and dimensional techniques, Wiley, 2003. • W. Inmon, Building the data warehouse, Wiley, 2005. • R. Kimball, The data warehouse toolkit: the complete guteide to dimensional modeling, Wiley, 2002. • R. Kimball, The data warehouse ETL toolkit: practical techniques for extracting, cleaning, conforming, and delivering data, Wiley, 2004. CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  17. Reference Books in LUMS Library (2) • Building, using, and managing the data warehouse, Barquin, Ramon C., ed.;Edelstein, Herbert A., ed., 005.74 B932, 1997. • Data warehousing and business intelligence for e-commerce, Simon, Alan R.;Shaffer, Steven L., 658.84 S594D, 2001. • Data warehousing for e-business, Inmon, W. H.; Terdeman, R. H.; Norris-Montanari, Joyce; Meers, Dan, 658.84 D232, 2001. • Data warehousing in the real world; a practical guide for building decision support systems, Anahory, Sam; Murray, Dennis, 005.74 A532D, 2000. • Data warehousing; concepts, techniques, products and applications, Prabhu, C.S.R., 005.74 P895D, 2002. • Data warehousing; strategies, technologies, and techniques, Mattison, Rob, 658.4038 M444D, 1996. • Introduction to business intelligence and data warehousing, IBM, Prentice-Hall of India, 658.47 I619 2004 CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

  18. Reference Books in LUMS Library (3) • Data warehousing; the ultimate guide to building corporate business intelligence, Educations B. V., SCN., ed., 005.74 D232, 2001. • Decision support in the data warehouse, Gray, Paul;Watson, Hugh J., 005.74 G778D, 1998. • Intelligent data warehousing; from data preparation to data mining, Chen, Zhengxin, 005.74 C518I, 2002. • The data webhouse toolkit; building the web-enabled data warehouse, Kimball, Ralph; Merz, Richard, 005.74 K495D, 2000. • Oracle8i data warehousing plan, Corey, Michael ... [et al.], 005.7585 O631, 2001. • Data warehousing with Oracle; an administrator's handbook, Yazdani, Sima;Wong, Shirley S., 005.74 S588D, 1998. CS 543 - Data Warehousing (Sp 2005-2006) - Asim Karim @ LUMS

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