Terminologies of Big Data Life Cycle

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Across
  1. 3. Graphical representation of data
  2. 4. – Assumed idea to be tested
  3. 6. – Launching model into production
  4. 9. Removing noise or inconsistencies
  5. 10. A mathematical data representation
Down
  1. 1. Create predictive or descriptive models
  2. 2. – Person invested in project outcome
  3. 5. Deploy model into real-world use
  4. 7. Decide tools and techniques
  5. 8. – Raw facts used for analysis
  6. 11. First phase: understand business problem