Data Warehousing and Big Data 23-24
General
- Post-graduate; 1st year
- 150 learners; teams of 5
- 36 hours per learner
- Dates set by experience
- Educators assign learners to projects
Preferred companies
- 2 projects wanted
- Anywhere
- Academic experience
- Any company type
- It & computing, Marketing & advertising, Science, Technology
Categories
Skills
Project timeline
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October 20, 2023Experience start
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November 10, 2023Experience end
Overview
- Details
-
Students do appreciate the business context in which the analysis of data can be fruitful and effective for decision-making and creating value. They have comprehensive understanding of the principles of organisation, validation, transformation and analysing large volumes of data on specialized platforms (Big Data) from various data sources.
They can demonstrate competence in the process of developing, configuring, utilising and managing of data warehouse applications in a variety of contexts.
- Learner skills
- Sql, Etl, Database design
- Deliverables
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An academic report with findings and Employer Feedback.
Project Examples
Data Modelling and Analysis, Predictive Analysis, Trend Analysis.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Would you be willing to provide detailed feedback for students' contribution to the project.
Would you be willing to meet with the students periodically during their project?