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 the first two weeks, we will introduce you to the data set and guide you through some exploratory analysis using tools such as Splunk and Open Office. Then we will move into more challenging big data problems requiring the more advanced tools you have learned including KNIME, Spark's MLLib and Gephi. Finally, during the fifth and final week, we will show you how to bring it all together to create engaging and compelling reports and slide presentations. As a result of our collaboration with Splunk, a software company focus on analyzing machine-generated big data, learners with the top projects will be eligible to present to Splunk and meet Splunk recruiters and engineering leadership.
This course is part of the Big Data Specialization
Offered By
Big Data SpecializationUniversity of California San DiegoAbout this Course
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- Big Data
- Neo4j
- Knime
- Splunk
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Syllabus - What you will learn from this course
Simulating Big Data for an Online Game
Acquiring, Exploring, and Preparing the Data
Data Classification with KNIME
Clustering with Spark
Graph Analytics of Simulated Chat Data With Neo4j
Reviews
- 5 stars66.06%
- 4 stars21.85%
- 3 stars5.91%
- 2 stars1.79%
- 1 star4.37%
TOP REVIEWS FROM BIG DATA - CAPSTONE PROJECT
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its very good course , here its aggregating all knowledge and information learned in previous courses
Thank you Coursera and instructors for creating this course. The structure is very good. Looking forward for completing other specializations too. Thank you!!
waoh.. it's incredible.. .. I strongly recommend this Capstone Project. Be sure to put on frank effort.
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About the Big Data Specialization
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