Large-Scale Storage/Retrieval
Course Description
Introduces data and information storage approaches for structured and unstructured data. Covers how to build large-scale information storage structures using distributed storage facilities. Explores data quality assurance, storage reliability, and challenges of working with very large data volumes. Studies how to model multidimensional data. Implements distributed databases. Considers multitier storage design, storage area networks, and distributed data stores. Applies algorithms, including graph traversal, hashing, and sorting, to complex data storage systems. Considers complexity theory and hardness of large-scale data storage and retrieval. Requires use of nonrelational, document, key-column, key-value, and graph databases and programming in R, Python, and C++.
Teaching Style Radar
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Quick Takeaways
- ✅Best for: No standout strengths in the five student dimensions.
- ⚠️Watch out: Feedback and Fairness stand out (Needs attention, Needs attention).
- 💡Key insight: Can't understand, can't learn — fundamental issues
Strengths & Areas for attention
- ⚠️Needs attention: Overall (3.4)
- ⚠️Needs attention: Learning (3.8)
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