Data Warehousing Workshop I

#Data #Warehouse #DBMS #Big #Cloud
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This workshop was developed for the Computer Science students with Database Systems Option or with a similar specialization (BCIS program at OC: https://www.okanagan.bc.ca/bachelor-of-computer-information-systems-degree). It can be especially a subject of interest for the students involved in industrial applied research. This workshop can be useful for anybody interested in Data Warehousing and current trends in the industry with a minimal background in DBMS systems, especially if you are going to build your own data warehouse at your company or for learning purposes. The following materials will be used during the workshop: The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling By: Ralph Kimball, Margy Ross, Oracle® Database Data Warehousing Guide (https://docs.oracle.com/en/database/oracle/oracle-database/19/dwhsg/database-data-warehousing-guide.pdf) and some other additional sources.


  Date and Time

  Location

  Hosts

  Registration


  • Date: 08 Oct 2021
  • Time: 08:00 AM to 11:30 AM
  • All times are (GMT-08:00) US/Pacific
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  • Okanagan College
  • Kelowna, British Columbia
  • Canada
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  • Co-sponsored by Okanagan College
  • Starts 07 October 2021 04:22 PM
  • Ends 07 October 2021 08:00 PM
  • All times are (GMT-08:00) US/Pacific
  • No Admission Charge

  Speakers

Dr. Youry Khmelevsky

Topic:

Data Warehousing Workshop I

Biography:

Youry Khmelevsky received his Ph.D. degree in computer science and MSc in Electrical Engineering. His current research interests include software engineering; cloud and high-performance computing; enterprise-wide information systems; no programming paradigm, blind computing; and interdisciplinary applied computer science research. Dr. Khmelevsky had served as a postdoctoral fellow at Harvard University; was a Visiting Scientist in the Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT); was an Invited Researcher at Database Management and Machine Learning Department, Sorbonne University, Paris, France; held engineering and R&D positions in Industry in Europe and North America for about 15 years, including at Alberta Energy, Government of Alberta, Canada.