Big Data Management

Big Data Management

This course prepares students to deal with large- scale collections of data as objects to be stored, searched over, selected, and transformed for use and reuse. It examines the underlying principles and technologies used to capture data, clean it, contextualize it, store it, and access it for a repurposed use. Data provenance is also examined to determine the trustworthiness of data.

Course Objectives

At the end of the course, participants are able to:

1. Explain the processes in data pipeline.
2. Discuss database concepts and technologies for big data storage and retrieval.
3. Apply appropriate models, tools, and
4. Technologies to implement storage, search and retrieval systems for large-scale structured and unstructured information systems.
5. Analyse data provenance and data trustworthiness, and its role in sharing and reuse of data.

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