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TI2736-B: Assignment 3 Big Data Processing Due date: 11.12.2016 @ 11.59pm Please submit your report and code via Blackboard (please do not copy & paste your code directly into the report). BIG DATA COMPUTING COMPUTER SCIENCE & ENGINEERING COURSE OUTLINE : ABOUT INSTRUCTOR : COURSE PLAN : This course provides an in-depth understanding of terminologies and the core concepts behind big data problems, applications, systems and the techniques, that underlie today big data computing technologies. Bernard Marr’s book delivers concrete, valuable, and diverse insights on Big Data use cases, success stories, and lessons learned from numerous business domains. Modeling big data depends on many factors including data structure, which operations may be performed on the data, and what constraints are placed on the models. According to TCS Global Trend Study, the most significant benefit of Big Data in manufacturing is improving the supply strategies and product quality. The amount of data in banking sectors is skyrocketing every second. You will analyze a data set simulating big data generated from a large number of users who are playing our imaginary game "Catch the Pink Flamingo". PDF - Big Data Applications in the Government Sector: A Comparative Analysis among Leading Countries. Assignment-based clustering: K-means Hierarchical clustering Spectral clustering Clustering for streams Rank order clustering . Offered by University of California San Diego. Data Analysis Marking Scheme-Percentage 20% . 4) Manufacturing. ISIT312/ISIT912 Big Data Management Assignment 1 31 July 2017 Scope This assignment includes the tasks related to conceptual, logical, and physical data warehouse design, implementation of multidimensional data model, implementation of query processing More implementation related information can be found in "How to … ?" 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