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This list relates to the semester Semester 1 2019 which ended on 23/06/2019
  1. Hadoop: the definitive guide - Tom White c2009 (electronic resource)

    Book Required

  2. Mining of Massive Datasets - Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman 2014

    Book Required

  3. Learning Spark : lightening fast data analysis - Holden Karau 2015 (electronic resource)

    Book Recommended

  4. Advanced analytics with Spark : patterns for learning from data at scale - Sandy Ryza, Uri Laserson, Sean Owen, Josh Wills 2017 (electronic resource)

    Book Recommended

  5. Programming Pig - Alan Gates, Daniel Dai 2016 (electronic resource)

    Book Recommended

  6. Machine learning with Spark : develop intelligent machine learning systems with Spark 2.x - Rajdeep Dua, Nick Pentreath, Manpreet Singh Ghotra 2017 (electronic resource)

    Book Recommended

  7. Past Central Exam Papers 1 item
    1. Past Central Exam Papers

      Webpage  Follow the link and search for past exam papers by course code.