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Course Schedule:
Virtual Classroom 07/16-07/17
Toronto, ON 07/16-07/17
Vancouver, BC 07/16-07/17
Calgary, AB 07/16-07/17
Reston, VA 07/16-07/17
Chicago, IL 07/16-07/17
Columbus, OH 07/16-07/17
Baltimore, MD 07/16-07/17
Columbia, MD 07/16-07/17
Annapolis, MD 07/16-07/17
Wash Metro Area, DC 07/16-07/17
Richmond, VA 07/16-07/17
Norfolk, VA 07/16-07/17
Denver, CO 07/16-07/17
Los Angeles, CA 07/16-07/17
San Francisco, CA 07/16-07/17
Indianapolis, IN 07/16-07/17
Boston, MA 07/16-07/17
Des Moines, IA 07/16-07/17
Cedar Rapids, IA 07/16-07/17
Minneapolis-St Paul, MN 07/16-07/17
St Louis, MO 07/16-07/17
Seattle, WA 07/16-07/17
Philadelphia, PA 07/16-07/17
Detroit, MI 07/16-07/17
Phoenix, AZ 07/16-07/17
Tucson, AZ 07/16-07/17
Milwaukee, WI 07/16-07/17
Charleston, WV 07/16-07/17
Atlanta, GA 07/16-07/17
Raleigh-Durham, NC 07/16-07/17
Toronto, ON 09/24-09/25
Vancouver, BC 09/24-09/25
Calgary, AB 09/24-09/25
Virtual Classroom 09/24-09/25
Reston, VA 09/24-09/25
Chicago, IL 09/24-09/25
Columbus, OH 09/24-09/25
Baltimore, MD 09/24-09/25
Columbia, MD 09/24-09/25
Annapolis, MD 09/24-09/25
Wash Metro Area, DC 09/24-09/25
Richmond, VA 09/24-09/25
Norfolk, VA 09/24-09/25
Denver, CO 09/24-09/25
Los Angeles, CA 09/24-09/25
San Francisco, CA 09/24-09/25
Indianapolis, IN 09/24-09/25
Boston, MA 09/24-09/25
Des Moines, IA 09/24-09/25
Cedar Rapids, IA 09/24-09/25
Minneapolis-St Paul, MN 09/24-09/25
St Louis, MO 09/24-09/25
Seattle, WA 09/24-09/25
Philadelphia, PA 09/24-09/25
Detroit, MI 09/24-09/25
Phoenix, AZ 09/24-09/25
Tucson, AZ 09/24-09/25
Milwaukee, WI 09/24-09/25
Charleston, WV 09/24-09/25
Atlanta, GA 09/24-09/25
Raleigh-Durham, NC 09/24-09/25
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Introduction to Data Warehousing

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Summary:
This course examines and establishes the fundamental theories, concepts, domains, techniques and terminology that are essential for every business and information technology professional who is involved in data warehousing. Students are introduced to best practice approaches and structures for data warehouse development and implementation. Common definitions and characteristics of data warehouses, data warehouse architectures, readiness issues, incremental data warehouse project planning, data warehouse strategy and mistakes to avoid all receive special emphasis. It also concentrates on data warehouse deliverables independent of any specific methods, but within the framework of best practices. It focuses on understanding deliverables that may be produced throughout the data warehouse process and issues reasons for producing them. This course closes with exploration for practical next steps the students can take. This includes steps further to develop knowledge and skills, to position oneself for success, and to get started with data warehousing.

Duration:
2 Days/Lecture & Lab

Audience:
This course is designed for anyone new to data warehousing. Those who want to review the fundamentals of data warehousing from a best practices standpoint. Also designed for business and systems managers who are evaluating data warehousing.

Topics:

  • Introduction to Data Warehousing
  • Implementation, Operation and Expansion

Prerequisites:
There are no prerequisites required for this course.




Last Update: May 21, 2012