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Data science bingo

Exercise and reference answers

Clues and terms
  1. Clue
    Extensive datasets needing a scalable architecture.
    Item
    Big data
  2. Clue
    Getting useful knowledge from data by forming and testing ideas.
    Item
    Data science
  3. Clue
    A practitioner spanning business, domain, analysis and engineering.
    Item
    Data scientist
  4. Clue
    The discipline of building scalable data-intensive systems.
    Item
    Engineering
  5. Clue
    Processing the data where it already sits.
    Item
    Data locality
  6. Clue
    Scaling by making one machine more powerful.
    Item
    Vertical
  7. Clue
    Scaling by adding machines to the collection.
    Item
    Horizontal
  8. Clue
    Whether the data suits the use it is being put to.
    Item
    Veracity
  9. Clue
    The data form the relational model handled historically.
    Item
    Structured
Instructions
Read each clue and tap the term it describes.

Explanation

_Source: NIST Special Publication 1500-1r2, 'NIST Big Data Interoperability Framework: Volume 1, Definitions'_
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