Data Analytics
DA 5020: Collecting, Storing, and Retrieving Data
Seminar - 4 credits
ND
EI
IC
FQ
SI
AD
DD
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WF
WD
WI
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CE
- Studies how to build large-scale information repositories of different types of information objects so that they can be selected, retrieved, and transformed for analytics and discovery, including statistical analysis.
- Analyzes how traditional approaches to data storage can be applied alongside modern approaches that use nonrelational data structures.
- Through case studies, readings on background theory, and hands-on experimentation, offers students an opportunity to learn how to select, plan, and implement storage, search, and retrieval components of large-scale structured and unstructured information repositories.
- Emphasizes how to assess and recommend efficient and effective large-scale information storage and retrieval components that provide data scientists with properly structured, accurate, and reliable access to information needed for investigation.
Studies how to build large-scale information repositories of different types of information objects so that they can be selected, retrieved, and transformed for analytics and discovery, including statistical analysis. Show more.