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Section 1: The basics of working with big data
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Lecture1.1
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Section 2: Web and social networks
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Lecture2.1
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Section 3: Clustering big data
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Lecture3.1
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Section 4: Google web search
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Lecture4.1
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Section 5: Parallel and distributed computing using MapReduce
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Lecture5.1
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Section 6: Computing similar documents in big data
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Lecture6.1
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Section 7: Products frequently bought together in stores
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Lecture7.1
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Section 8: Movie and music recommendations
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Lecture8.1
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Section 9: Google's AdWordsTM System
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Lecture9.1
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Section 10: Mining rapidly arriving data streams
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Lecture10.1
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