Big Data – Capstone Project

University of California, San Diego via Coursera

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Overview

Welcome to the Capstone Project for Big Data! In this culminating project, you will build a big data ecosystem using tools and methods form the earlier courses in this specialization. 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". During the five week Capstone Project, you will walk through the typical big data science steps for acquiring, exploring, preparing, analyzing, and reporting. In...

Syllabus

Simulating Big Data for an Online Game

This week we provide an overview of the Eglence, Inc. Pink Flamingo game, including various aspects of the data which the company has access to about the game and users and what we might be interested in finding out.

Acquiring, Exploring, and Preparing the Data

Next, we begin working with the simulated game data by exploring and preparing the data for ingestion into big data analytics applications.

Data Classification with KNIME

This week we do some data classification using KNIME.

Clustering with Spark

This week we do some clustering with Spark.

Graph Analytics of Simulated Chat Data With Neo4j

This week we apply what we learned from the 'Graph Analytics With Big Data' course to simulated chat data from Catch the Pink Flamingos using Neo4j. We analyze player chat behavior to find ways of improving the game.