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data.(2)Large amount of online course resources are also provided to students, including course video, technical literature, ppt, programming guide, and so on.4. Content outline of the courseChapter(Section)ContentLearning hours1The basic concept of bidata。 the relationship between bigdata, cloud puting and the Internet of Things.22The architecture and ecosystem of Hadoop43The basic principles and programming method of HDFS44The basic principles and programming method of HBase45The concept and principle of NoSQL46The concept and principle of cloud database27The distributed parallel programming model, namely MapReduce48To discuss more about Hadoop29The basic principle and programming method of Spark410The application of bigdata in the Internet field, namely remending system.2Total325. Assessmentmethods and requirementsThe course involves homework and closedbook examination.The final score includes two parts, ., homework(50%) and final examination(50%).Ziyu Lin. Principles and Applications of Big Data TechnologyBig Data Conception(The first edition), Storage, Processing, Analysis and Application. The POSTS amp。 TELECOM PRESS, Aug, 2015.Tom White. Hadoop: The Definitive Guide (3rd edition). The O’REILLY PRESS, May 2012.Filled out by: Ziyu Lin Approved by: Date: Nov, 20167 / 7