课程信息

834,848 次近期查看

学生职业成果

45%

完成这些课程后已开始新的职业生涯

39%

通过此课程获得实实在在的工作福利

11%

加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 1 门课程(共 6 门)
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17 小时
英语(English)
字幕:阿拉伯语(Arabic), 韩语, 英语(English), 印地语, 波斯语

您将获得的技能

Big DataApache HadoopMapreduceCloudera

学生职业成果

45%

完成这些课程后已开始新的职业生涯

39%

通过此课程获得实实在在的工作福利

11%

加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 1 门课程(共 6 门)
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17 小时
英语(English)
字幕:阿拉伯语(Arabic), 韩语, 英语(English), 印地语, 波斯语

提供方

加州大学圣地亚哥分校 徽标

加州大学圣地亚哥分校

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up96%(42,692 个评分)Info
1

1

完成时间为 20 分钟

Welcome

完成时间为 20 分钟
2 个视频 (总计 3 分钟), 2 个阅读材料
2 个视频
Tell us about yourself and learn about your classmates20
2 个阅读材料
By the end of this course you will be able to...2分钟
Optional: Watch this fun video about the San Diego Supercomputer Center!10分钟
完成时间为 4 小时

Big Data: Why and Where

完成时间为 4 小时
13 个视频 (总计 77 分钟), 13 个阅读材料, 1 个测验
13 个视频
Applications: What makes big data valuable11分钟
Example: Saving lives with Big Data6分钟
Example: Using Big Data to Help Patients10分钟
A Sentiment Analysis Success Story: Meltwater helping Danone1分钟
Getting Started: Where Does Big Data Come From?2分钟
Machine-Generated Data: It's Everywhere and There's a Lot!3分钟
Machine-Generated Data: Advantages4分钟
Big Data Generated By People: The Unstructured Challenge5分钟
Big Data Generated By People: How Is It Being Used?10分钟
Organization-Generated Data: Structured but often siloed7分钟
Organization-Generated Data: Benefits Come From Combining With Other Data Types4分钟
The Key: Integrating Diverse Data5分钟
13 个阅读材料
Did you know?: 25 facts about big data10分钟
Slides: What Launched the Big Data Era?10分钟
Slides: Applications: What Makes Big Data Valuable?10分钟
Slides: Saving Lives With Big Data10分钟
Slides: Using Big Data to Help Patients10分钟
Extra Resources10分钟
Slides: Machine-Generated Data: It's Everywhere and There's a Lot!10分钟
Slides: Machine-Generated Data: Advantages10分钟
Slides: Big Data Generated By People: The Unstructured Challenge10分钟
Slides: Big Data Generated By People: How is it Being Used?10分钟
Slides: Organization-Generated Big Data: Structured But Often Siloed10分钟
Slides: Organizaton-Generated Big Data: Benefits10分钟
Slides: The Key - Integrating Diverse Data10分钟
1 个练习
Why Big Data and Where Did it Come From?38分钟
2

2

完成时间为 2 小时

Characteristics of Big Data and Dimensions of Scalability

完成时间为 2 小时
7 个视频 (总计 34 分钟), 9 个阅读材料, 1 个测验
7 个视频
Characteristics of Big Data - Volume5分钟
Characteristics of Big Data - Variety5分钟
Characteristics of Big Data - Velocity6分钟
Characteristics of Big Data - Veracity6分钟
Characteristics of Big Data - Valence2分钟
The Sixth V: Value4分钟
9 个阅读材料
What does astronomical scale mean?10分钟
A Small Definition of Big Data10分钟
Slides: Getting Started - Characteristics of Big Data10分钟
Slides: Characteristics of Big Data - Volume10分钟
Slides: Characteristics of Big Data - Variety10分钟
Slides: Characteristics of Big Data - Velocity10分钟
Slides: Characteristics of Big Data - Veracity10分钟
Slides: Characteristics of Big Data - Value10分钟
Slides: Characteristics of Big Data - Valence10分钟
1 个练习
V for the V's of Big Data14分钟
完成时间为 4 小时

Data Science: Getting Value out of Big Data

完成时间为 4 小时
11 个视频 (总计 66 分钟), 12 个阅读材料, 1 个测验
11 个视频
Building a Big Data Strategy9分钟
How does big data science happen?: Five Components of Data Science9分钟
Asking the Right Questions3分钟
Steps in the Data Science Process3分钟
Step 1: Acquiring Data6分钟
Step 2-A: Exploring Data4分钟
Step 2-B: Pre-Processing Data8分钟
Step 3: Analyzing Data8分钟
Step 4: Communicating Results4分钟
Step 5: Turning Insights into Action2分钟
12 个阅读材料
Five P's of Data Science10分钟
Slides: Getting Value Out of Big Data10分钟
Slides: Building a Big Data Strategy10分钟
Slides: The Five P's of Data Science10分钟
Slides: Asking the Right Questions10分钟
Slides: Steps in the Data Science Process10分钟
Slides: Step 1 - Acquiring Data10分钟
Slides: Step 2A-Exploring Data10分钟
Slides: Step 2B-Preprocessing Data10分钟
Slides: Step 3-Data Analysis10分钟
Slides: Step 4-Communicating Results10分钟
Slides: Step 5-Turning Insights Into Action10分钟
1 个练习
Data Science 10120分钟
3

3

完成时间为 1 小时

Foundations for Big Data Systems and Programming

完成时间为 1 小时
4 个视频 (总计 19 分钟), 4 个阅读材料, 1 个测验
4 个视频
What is a Distributed File System?6分钟
Scalable Computing over the Internet4分钟
Programming Models for Big Data6分钟
4 个阅读材料
Slides: Getting Started-Why Worry About Foundations?10分钟
Slides: What is a Distributed File System?10分钟
Slides: Scalable Computing Over the Internet10分钟
Slides: Programming Models for Big Data10分钟
1 个练习
Foundations for Big Data20分钟
完成时间为 5 小时

Systems: Getting Started with Hadoop

完成时间为 5 小时
11 个视频 (总计 66 分钟), 8 个阅读材料, 3 个测验
11 个视频
The Hadoop Ecosystem: Welcome to the zoo!7分钟
The Hadoop Distributed File System: A Storage System for Big Data7分钟
YARN: A Resource Manager for Hadoop5分钟
MapReduce: Simple Programming for Big Results12分钟
When to Reconsider Hadoop?4分钟
Cloud Computing: An Important Big Data Enabler6分钟
Cloud Service Models: An Exploration of Choices4分钟
Value From Hadoop and Pre-built Hadoop Images3分钟
Copy your data into the Hadoop Distributed File System (HDFS)4分钟
Run the WordCount program5分钟
8 个阅读材料
MapReduce in the Pasta Sauce Example10分钟
Slides for Getting Started With Hadoop10分钟
Downloading and Installing the Cloudera VM Instructions (Mac)10分钟
Downloading and Installing the Cloudera VM Instructions (Windows)10分钟
FAQ10分钟
Copy your data into the Hadoop Distributed File System (HDFS) Instructions10分钟
Run the WordCount program Instructions10分钟
How do I figure out how to run Hadoop MapReduce programs?10分钟
2 个练习
Intro to Hadoop26分钟
Running Hadoop MapReduce Programs Quiz4分钟

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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....
大数据

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