Data Science: Reflection on Project, Comparison and Contrast, Strengths and Weaknesses

This article discusses data science through reflection on a group project, comparison and contrast of traditional and contemporary business intelligence, collaborative filtering and content based filtering, semantic analysis and visual analysis, replication and sharding, and ACID and CAP theorem. It also explores the strengths and weaknesses of Hadoop distributed processing and event stream processing.