Introduction To Big Data and Hadoop

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Across
  1. 2. A big data platform built on top of Apache Hadoop (Infosphere).
  2. 8. A cloud-based IBM platform for storing and processing big data.
  3. 10. A type of data with some structure, but less rigid than structured data.
  4. 11. A collection of open-source projects built on top of Hadoop.
  5. 12. The process of collecting, storing, and analyzing big data for insights.
  6. 13. Tools like grep, awk, sed, and sort used for data analysis.
  7. 15. A type of data with no defined structure, like text or images.
  8. 18. A distributed computing platform within the Hadoop ecosystem.
Down
  1. 1. A type of data organized in a fixed format, like a database.
  2. 3. A combination of Doug Cutting's son's toy and wife's teddy bear (Hadoop's name origin).
  3. 4. A framework allowing existing UNIX tools to process data with Hadoop.
  4. 5. A software framework popular for storing and processing big data.
  5. 6. A term describing large and complex datasets beyond traditional tools.
  6. 7. A distributed file system used for storing big data across clusters.
  7. 9. A company's strategy for utilizing big data for its benefit.
  8. 14. A cloud-based data visualization tool for Infosphere BigInsights.
  9. 16. A programming model used for parallel processing in Hadoop.
  10. 17. A common UNIX tool used for searching text patterns in files.