課程信息
19,404

第 6 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為19 小時

建議:4 hours/week...

英語(English)

字幕:英語(English), 韓語

您將獲得的技能

Big DataNeo4jKnimeSplunk

第 6 門課程(共 6 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為19 小時

建議:4 hours/week...

英語(English)

字幕:英語(English), 韓語

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 1 小時

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 個視頻 (總計 18 分鐘), 4 個閱讀材料
4 個視頻
Welcome from Splunk: Rob Reed World Education Evangelist3分鐘
A Summary of Catch the Pink Flamingo7分鐘
A Conceptual Schema for Catch the Pink Flamingo4分鐘
4 個閱讀材料
Planning, Preparation, and Review10分鐘
A Game by Eglence Inc. : Catch The Pink Flamingo10分鐘
Overview of the Catch the Pink Flamingo Data Model10分鐘
Overview of Final Project Design5分鐘
完成時間為 4 小時

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 個閱讀材料, 2 個測驗
6 個閱讀材料
Downloading the Game Data and Associated Scripts10分鐘
Understanding the CSV Files Generated by the Scripts20分鐘
Optional Review of Splunk
“Catch the Pink Flamingo” Data Exploration with Splunk45分鐘
Aggregate Calculations Using Splunk45分鐘
Filtering the Data With Splunk20分鐘
1 個練習
Data Exploration With Splunk30分鐘
2
完成時間為 5 小時

Data Classification with KNIME

This week we do some data classification using KNIME. ...
4 個閱讀材料, 1 個測驗
4 個閱讀材料
Review: Classification Using Decision Tree in KNIME10分鐘
Review: Interpreting a Decision Tree in KNIME10分鐘
Workflow Overview for Building a Decision Tree in KNIME20分鐘
Description of combined_data.csv5分鐘
3
完成時間為 5 小時

Clustering with Spark

This week we do some clustering with Spark. ...
2 個閱讀材料, 1 個測驗
2 個閱讀材料
Informing business strategies based on client base5分鐘
Practice with PySpark MLlib Clustering30分鐘
4
完成時間為 4 小時

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 個閱讀材料, 1 個測驗
2 個閱讀材料
Understanding the Simulated Chat Data Generated by the Scripts10分鐘
Graph Analytics of Catch the Pink Flamingo Chat Data Using Neo4j
4.4
58 個審閱Chevron Right

25%

完成這些課程後已開始新的職業生涯

29%

通過此課程獲得實實在在的工作福利

18%

加薪或升職

熱門審閱

創建者 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

創建者 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!!!

講師

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Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
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Amarnath Gupta

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

關於 加州大学圣地亚哥分校

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

關於 大数据 專項課程

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....
大数据

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