Modelling and Building the EDW as a Data Vault
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  Gabrielle Harrison   Gabrielle Harrison
Senior Data Analyst
RMIT University


Tuesday, April 29, 2014
03:45 PM - 04:30 PM

Level:  Introductory

In 2012, RMIT University commenced a number of initiatives to support the organization's strategic goal of anytime, anywhere computing.

These included:

  • Data architecture
  • Data governance
  • Information management
  • Application integration platform - batch & real time
  • Business intelligence
  • Enterprise data warehouse
  • Identity management

This session looks at the challenges of modelling and implementing a data vault when:

  • Initiatives are running in parallel.
  • Its global organization, delivering education in over 20 countries to almost 75,000 students and nearly one quarter are studying at campuses outside Australia.
  • The organization delivers education from senior high through vocational education to undergraduate and postgraduate course work to research degrees.
  • It's a multi-stream business that includes not just education, but retail, childcare, commercial services, service management.
  • The organization has three enterprise platforms, is considering a fourth and has over 500 potential sources of data.

Gabrielle Harrison is the Senior Data Analyst, Integration and Information Management at RMIT University. In this role she is responsible for data modelling and data analysis for the enterprise integration platform, data warehouse and operational data store. Gabrielle is a Certified Data Vault Data Modeller, Certified Business Intelligence Professional, Certified Data Management Professional and Data Governance and Stewardship Professional. She holds tertiary qualifications in Applied Social Research, Management, Business Analysis and is currently completing a Master of Data Science. Gabrielle has over 20 years experience in the education sector, 18 of these with RMIT University. She has over 16 years IT experience in systems analysis, functional analysis and application management, specialising in solving data issues.

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