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.
Este curso forma parte de Programa especializado: Macrodatos
Ofrecido Por
Acerca de este Curso
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosHabilidades que obtendrás
- Big Data
- Neo4j
- Knime
- Splunk
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
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
Reseñas
- 5 stars66,06 %
- 4 stars21,85 %
- 3 stars5,91 %
- 2 stars1,79 %
- 1 star4,37 %
Principales reseñas sobre BIG DATA - CAPSTONE PROJECT
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The project is really helpful to sum up the whole process of the 5 previous courses, but there is a bit problem with the week 4 assignment.
Watch out for week 4. This is the hardest one out of the whole specialization
Best course for integrating all the concepts learned during specialization.
Thanks Coursera Team and UC, San Diego.
Acerca de Programa especializado: Macrodatos

Preguntas Frecuentes
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¿Qué recibiré si me suscribo a este Programa especializado?
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