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Section 1: The basics of working with big data 1
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Section 1: The basics of working with big data 30 minLecture1.1
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Section 2: Web and social networks 1
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Section 2: Web and social networks 30 minLecture2.1
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Section 3: Clustering big data 1
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Section 3: Clustering big data 30 minLecture3.1
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Section 4: Google web search 1
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Section 4: Google web search 30 minLecture4.1
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Section 5: Parallel and distributed computing using MapReduce 1
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Section 5: Parallel and distributed computing using MapReduce 30 minLecture5.1
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Section 6: Computing similar documents in big data 1
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Section 6: Computing similar documents in big data 30 minLecture6.1
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Section 7: Products frequently bought together in stores 1
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Section 7: Products frequently bought together in stores 30 minLecture7.1
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Section 8: Movie and music recommendations 1
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Section 8: Movie and music recommendations 30 minLecture8.1
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Section 9: Google's AdWordsTM System 1
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Section 9: Google’s AdWordsTM System 30 minLecture9.1
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Section 10: Mining rapidly arriving data streams 1
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Section 10: Mining rapidly arriving data streams 30 minLecture10.1
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