Introduction to Big Data and Hadoop

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Across
  1. 3. A shell-based environment used for early big data analysis.
  2. 4. Large and complex datasets that traditional data-processing systems can't handle.
  3. 7. Software foundation that supports open-source Hadoop.
  4. 10. Big Data can be categorized as structured, semi-structured, and ___.
  5. 11. BIG DATA STRATEGY IBM’s strategy related to massive data management.
  6. 14. A visual and spreadsheet-like tool in IBM Infosphere BigInsights.
  7. 16. Data that is organized into rows and columns.
  8. 18. This term refers to the method of distributing data across multiple systems in Hadoop.
  9. 20. Company behind the Infosphere BigInsights platform.
Down
  1. 1. IBM's big data platform that includes BigInsights and BigSheets.
  2. 2. ANALYTICS A broader term referring to the analysis of massive datasets.
  3. 5. The process of extracting useful information from large datasets.
  4. 6. A feature of Hadoop that allows users to write MapReduce programs in languages other than Java.
  5. 8. The primary open-source framework used for processing big data.
  6. 9. TOOLS Early method of analyzing big data before Hadoop became popular.
  7. 12. Apache Hadoop consists mainly of HDFS and ___.
  8. 13. OF HADOOP This comes before the advent of Hadoop.
  9. 15. ECOSYSTEM This Hadoop-related term refers to its collection of supporting tools and services.
  10. 17. Semi-structured data format often used in web technologies.
  11. 19. DATA Used to refer to various formats like text, audio, video in Big Data.