课程信息

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第 4 门课程(共 6 门)
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完成时间大约为19 小时
英语(English)
字幕:英语(English), 韩语

您将获得的技能

GraphsDistributed ComputingBig DataMachine Learning
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 4 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19 小时
英语(English)
字幕:英语(English), 韩语

提供方

伊利诺伊大学香槟分校 徽标

伊利诺伊大学香槟分校

立即开始攻读硕士学位

此 课程 隶属于 伊利诺伊大学香槟分校 提供的 100% 在线 Master in Computer Science。如果您被录取参加全部课程,您的课程将计入您的学位学习进程。

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 3 小时

Course Orientation

完成时间为 3 小时
1 个视频 (总计 26 分钟), 4 个阅读材料, 1 个测验
4 个阅读材料
Syllabus10分钟
About the Discussion Forums10分钟
Updating Your Profile10分钟
Social Media10分钟
1 个练习
Orientation Quiz10分钟
完成时间为 2 小时

Module 1: Spark, Hortonworks, HDFS, CAP

完成时间为 2 小时
13 个视频 (总计 108 分钟), 1 个阅读材料, 1 个测验
13 个视频
1.1.2 Apache Spark11分钟
1.1.3 Spark Example: Log Mining9分钟
1.1.4 Spark Example: Logistic Regression7分钟
1.1.5 RDD Fault Tolerance4分钟
1.1.6 Interactive Spark4分钟
1.1.7 Spark Implementation4分钟
1.2.1 Introduction to Distros3分钟
1.2.2 Hortonworks23分钟
1.2.3 Cloudera CDH2分钟
1.2.4 MapR Distro2分钟
1.3.1 HDFS Introduction15分钟
1.3.2 YARN and MESOS9分钟
1 个阅读材料
Module 1 Overview10分钟
1 个练习
Module 1 Quiz30分钟
2

2

完成时间为 6 小时

Module 2: Large Scale Data Storage

完成时间为 6 小时
24 个视频 (总计 303 分钟), 1 个阅读材料, 1 个测验
24 个视频
2.1.1 Introduction to MapReduce with Spark3分钟
2.1.2 MapReduce: Motivation15分钟
2.1.3 MapReduce Programming Model with Spark9分钟
2.1.4 MapReduce Example: Word Count9分钟
2.1.5 MapReduce Example: Pi Estimation & Image Smoothing15分钟
2.1.6 MapReduce Example: Page Rank13分钟
2.1.7 MapReduce Summary4分钟
2.2.1 Eventual Consistency – Part 110分钟
2.2.2 Eventual Consistency – Part 220分钟
2.2.3 Consistency Trade-Offs4分钟
2.2.4 ACID and BASE19分钟
2.2.5 Zookeeper and Paxos: Introduction10分钟
2.2.6 Paxos17分钟
2.2.7 Zookeeper16分钟
2.3.1 Cassandra Introduction27分钟
2.3.2 Redis7分钟
2.3.3 Redis Demonstration14分钟
2.4.1 HBase Usage API15分钟
2.4.2 HBase Internals - Part 117分钟
2.4.3 HBase Internals - Part 29分钟
2.4.4 Spark SQL8分钟
2.5.5 Spark SQL Demo8分钟
2.5.1 Kafka17分钟
1 个阅读材料
Module 2 Overview10分钟
1 个练习
Module 2 Quiz30分钟
3

3

完成时间为 4 小时

Module 3: Streaming Systems

完成时间为 4 小时
18 个视频 (总计 216 分钟), 1 个阅读材料, 1 个测验
18 个视频
3.1.1 Streaming Introduction9分钟
3.1.2 "Big Data Pipelines: The Rise of Real-Time"7分钟
3.1.3 Storm Introduction: Protocol Buffers & Thrift15分钟
3.1.4 A Storm Word Count Example3分钟
3.1.5 Writing the Storm Word Count Example10分钟
3.1.6 Storm Usage at Yahoo3分钟
3.2.1 Anchoring and Spout Replay17分钟
3.2.2 Trident: Exactly Once Processing10分钟
3.3.1 Inside Apache Storm9分钟
3.3.2 The Structure of a Storm Cluster4分钟
3.3.3 Using Thrift in Storm10分钟
3.3.4 How Storm Schedulers Work12分钟
3.3.5 Scaling Storm to 4000 Nodes14分钟
3.3.6 Q&A with Bobby Evans (Yahoo) on Storm32分钟
3.4.1 Spark Streaming18分钟
3.4.2 Lambda and Kappa Architecture4分钟
3.4.3 Streaming Ecosystem24分钟
1 个阅读材料
Module 3 Overview10分钟
1 个练习
Module 3 Quiz30分钟
4

4

完成时间为 4 小时

Module 4: Graph Processing and Machine Learning

完成时间为 4 小时
18 个视频 (总计 173 分钟), 1 个阅读材料, 1 个测验
18 个视频
4.1.2 Pregel - Part 17分钟
4.1.3 Pregel - Part 211分钟
4.1.4 Pregel - Part 36分钟
4.1.5 Giraph Introduction6分钟
4.1.6 Giraph Example4分钟
4.1.7 Spark GraphX15分钟
4.2.1 Big Data Machine Learning Introduction13分钟
4.2.2 Mahout: Introduction8分钟
4.2.3 Mahout kmeans5分钟
4.2.4 Mahout: Naïve Bayes9分钟
4.2.5 Mahout: fpm6分钟
4.2.6 Spark Naïve Bayes2分钟
4.2.7 Spark fpm2分钟
4.2.8 Spark ML/MLlib11分钟
4.2.9 Introduction to Deep Learning20分钟
4.2.10 Deep Neural Network Systems17分钟
4.3.1 Closing Remarks1分钟
1 个阅读材料
Module 4 Overview10分钟
1 个练习
Module 4 Quiz30分钟

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关于 云计算 专项课程

The Cloud Computing Specialization takes you on a tour through cloud computing systems. We start in in the middle layer with Cloud Computing Concepts covering core distributed systems concepts used inside clouds, move to the upper layer of Cloud Applications and finally to the lower layer of Cloud Networking. We conclude with a project that allows you to apply the skills you've learned throughout the courses. The first four courses in this Specialization form the lecture component of courses in our online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization....
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