Introduction to Big Data and Hadoop

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Across
  1. 2. The term used to describe large volumes of complex data
  2. 5. Resource management layer of Hadoop.
  3. 6. Coordination service for distributed applications.
  4. 7. Tool for collecting, aggregating, and moving large amounts of log data.
  5. 10. A characteristic of Big Data relating to size of data.
  6. 13. A spreadsheet-like interface for analyzing data in Infosphere.
  7. 15. Organization that supports the development of Hadoop.
  8. 16. A group of linked computers that work together.
  9. 17. A characteristic of Big Data relating to speed of data generation.
  10. 18. Type of software license under which Hadoop is released.
  11. 20. High-level platform for creating MapReduce programs used with Hadoop.
Down
  1. 1. Technique in Hadoop for processing real-time data.
  2. 3. Programming model used for processing large datasets.
  3. 4. An open-source framework for distributed storage and processing.
  4. 8. IBM’s platform for big data analytics.
  5. 9. Workflow scheduler system to manage Hadoop jobs.
  6. 11. Data that does not have a predefined data model.
  7. 12. A characteristic of Big Data referring to data quality and trust.
  8. 14. Data warehouse software that facilitates reading, writing, and managing large datasets.
  9. 19. Operating system with powerful command-line tools used for analysis.