Introduction to Big Data

Introduction to Big Data

课程
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15 时
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来源
  • 来自www.coursera.org
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  • 3 序列
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课程详情

教学大纲

  • Week 1 - Welcome
    Welcome to the Big Data Specialization! We're excited for you to get to know us and we're looking forward to learning about you!
  • Week 1 - Big Data: Why and Where
    Data -- it's been around (even digitally) for a while. What makes data "big" and where does this big data come from?
  • Week 2 - Characteristics of Big Data and Dimensions of Scalability
    You may have heard of the "Big Vs". We'll give examples and descriptions of the commonly discussed 5. But, we want to propose a 6th V and we'll ask you to practice writing Big Data questions targeting this V -- value.
  • Week 2 - Data Science: Getting Value out of Big Data
    We love science and we love computing, don't get us wrong. But the reality is we care about Big Data because it can bring value to our companies, our lives, and the world. In this module we'll introduce a 5 step process for approaching data science problems.
  • Week 3 - Foundations for Big Data Systems and Programming
    Big Data requires new programming frameworks and systems. For this course, we don't programming knowledge or experience -- but we do want to give you a grounding in some of the key concepts.
  • Week 3 - Systems: Getting Started with Hadoop
    Let's look at some details of Hadoop and MapReduce. Then we'll go "hands on" and actually perform a simple MapReduce task in the Cloudera VM. Pay attention - as we'll guide you in "learning by doing" in diagramming a MapReduce task as a Peer Review.

先决条件

没有。

讲师

Ilkay Altintas
Chief Data Science Officer
San Diego Supercomputer Center

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

编辑

加州大学圣地亚哥分校是位于加利福尼亚州圣地亚哥的一所公立赠地研究型大学。加州大学圣地亚哥分校成立于 1960 年,位于斯克里普斯海洋学研究所附近,是加州大学十个校区中最南端的一个,提供 200 多个本科和研究生学位课程,在校本科生 33,096 人,研究生 9,872 人。

加州大学圣地亚哥分校被认为是世界上最好的大学之一。多份出版物将加州大学圣地亚哥分校的生物科学系和计算机科学系评为世界前十名。

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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