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  • Big Data Fundamentals
CoursesInformation TechnologyBig Data Fundamentals
  • Section 1: The basics of working with big data 1

    • Lecture1.1
      Section 1: The basics of working with big data 30 min
  • Section 2: Web and social networks 1

    • Lecture2.1
      Section 2: Web and social networks 30 min
  • Section 3: Clustering big data 1

    • Lecture3.1
      Section 3: Clustering big data 30 min
  • Section 4: Google web search 1

    • Lecture4.1
      Section 4: Google web search 30 min
  • Section 5: Parallel and distributed computing using MapReduce 1

    • Lecture5.1
      Section 5: Parallel and distributed computing using MapReduce 30 min
  • Section 6: Computing similar documents in big data 1

    • Lecture6.1
      Section 6: Computing similar documents in big data 30 min
  • Section 7: Products frequently bought together in stores 1

    • Lecture7.1
      Section 7: Products frequently bought together in stores 30 min
  • Section 8: Movie and music recommendations 1

    • Lecture8.1
      Section 8: Movie and music recommendations 30 min
  • Section 9: Google's AdWordsTM System 1

    • Lecture9.1
      Section 9: Google’s AdWordsTM System 30 min
  • Section 10: Mining rapidly arriving data streams 1

    • Lecture10.1
      Section 10: Mining rapidly arriving data streams 30 min
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