课程信息
4.4
229 个评分
57 个审阅

第 6 门课程(共 6 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

完成时间大约为19 小时

建议:4 hours/week...

英语(English)

字幕:英语(English)

您将获得的技能

Big DataNeo4jKnimeSplunk

第 6 门课程(共 6 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

完成时间大约为19 小时

建议:4 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 1 小时

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....
4 个视频 (总计 18 分钟), 4 个阅读材料
4 个视频
Welcome from Splunk: Rob Reed World Education Evangelist3分钟
A Summary of Catch the Pink Flamingo7分钟
A Conceptual Schema for Catch the Pink Flamingo4分钟
4 个阅读材料
Planning, Preparation, and Review10分钟
A Game by Eglence Inc. : Catch The Pink Flamingo10分钟
Overview of the Catch the Pink Flamingo Data Model10分钟
Overview of Final Project Design5分钟
完成时间为 4 小时

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....
6 个阅读材料, 2 个测验
6 个阅读材料
Downloading the Game Data and Associated Scripts10分钟
Understanding the CSV Files Generated by the Scripts20分钟
Optional Review of Splunk
“Catch the Pink Flamingo” Data Exploration with Splunk45分钟
Aggregate Calculations Using Splunk45分钟
Filtering the Data With Splunk20分钟
1 个练习
Data Exploration With Splunk30分钟
2
完成时间为 5 小时

Data Classification with KNIME

This week we do some data classification using KNIME. ...
4 个阅读材料, 1 个测验
4 个阅读材料
Review: Classification Using Decision Tree in KNIME10分钟
Review: Interpreting a Decision Tree in KNIME10分钟
Workflow Overview for Building a Decision Tree in KNIME20分钟
Description of combined_data.csv5分钟
3
完成时间为 5 小时

Clustering with Spark

This week we do some clustering with Spark. ...
2 个阅读材料, 1 个测验
2 个阅读材料
Informing business strategies based on client base5分钟
Practice with PySpark MLlib Clustering30分钟
4
完成时间为 4 小时

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. ...
2 个阅读材料, 1 个测验
2 个阅读材料
Understanding the Simulated Chat Data Generated by the Scripts10分钟
Graph Analytics of Catch the Pink Flamingo Chat Data Using Neo4j
4.4
57 个审阅Chevron Right

25%

完成这些课程后已开始新的职业生涯

29%

通过此课程获得实实在在的工作福利

18%

加薪或升职

热门审阅

创建者 PPNov 14th 2018

This is very helpful project where i have applied all learning through ouot journey of this course.Though it was time consuming but worth to invest time, which benefits to upskill my knowledge

创建者 DMApr 14th 2018

What a challenge, I came into this course as a London Black Cab Taxi Driver, I thought the knowledge was hard but this capstone was a challenge more intense than the Knowledge of London!!!

讲师

Avatar

Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
Avatar

Amarnath Gupta

Director, Advanced Query Processing Lab
San Diego Supercomputer Center (SDSC)

关于 加州大学圣地亚哥分校

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关于 大数据 专项课程

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. ********* Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data....
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