This course teaches learners how to make Big Data useful by exploring the complexities of systems logging and storing data, as well as the logic and reasoning of end users. The course covers topics such as data pipelines, reporting history, dealing with data size, architecture layers, user experience, and tools like QV Helper, Master Portal, and Usage Insight. The teaching method involves a presentation by a producer at King, focusing on real-world examples and practical insights. This course is intended for business users, developers, data analysts, and anyone interested in leveraging Big Data effectively.
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