Big Data

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Across
  1. 5. The accuracy and trustworthiness of data.
  2. 7. The speed at which data is generated and processed.
  3. 8. Framework that allows distributed processing of large data sets.
  4. 9. A statistical method used to predict continuous outcomes.
  5. 10. Open-source distributed computing system faster than MapReduce.
  6. 13. A group of interconnected computers working together as one system.
  7. 14. A centralized repository for storing raw, unstructured, and structured data.
Down
  1. 1. The usefulness or benefit derived from analyzing big data.
  2. 2. Refers to the meaning and context of data.
  3. 3. Extremely large data sets that can be analyzed for patterns and trends.
  4. 4. The amount of data generated and stored.
  5. 6. Programming model for processing large data sets in parallel.
  6. 7. The different types of data: structured, unstructured, semi-structured.
  7. 11. A distributed streaming platform used for real-time data pipelines.
  8. 12. A type of database that stores data in non-tabular formats.