此课程适用人群: This course is intended for practitioners. We introduce a wide range of Big Data technologies and frameworks that are very commonly used across computer industry. We assume you are familiar with some programming language (such as Python or Java), and are now interested to take your knowledge to the next step by leveraging "frameworks" that do much of the heavy lifting involved in distributed Big Data systems. Most of the code snippets introduced in the lectures can be read as pseudocode.


制作方:   伊利诺伊大学香槟分校

  • Reza Farivar

    教学方:    Reza Farivar, Data Engineering Manager at Capital One, Adjunct Research Assistant Professor of Computer Science

    Department of Computer Science

  • Roy H. Campbell

    教学方:    Roy H. Campbell, Professor of Computer Science

    Department of Computer Science
Basic Info
Course 4 of 6 in the Cloud Computing Specialization.
CommitmentThere is about 3-4 hours of video lectures per week. Each week's quiz takes about 30 minutes.
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.1 stars
Average User Rating 4.1See what learners said
授课大纲

常见问题解答
运作方式
课程作业
课程作业

每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

来自同学的帮助
来自同学的帮助

与其他成千上万的学生相联系,对想法进行辩论,讨论课程材料,并寻求帮助来掌握概念。

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制作方
伊利诺伊大学香槟分校
价格
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评分和审阅
已评分 4.1,总共 5 个 44 评分

Better understanding of latest technology

good practical materials which help to better understand the theories from previous courses

A very good course, with interesting topics about Big Data, Cloud Computing and MapReduce paradigm with real application examples.

good things to learn about real world big problems