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Do You Have Big Data? (Most Likely!)


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The meaning of Big Data, the hot buzzword of 2012, is still a mystery to many in the field. This session walks you through many scenarios in which companies are leveraging Big Data Tools. We discuss the sources of data that are often involved in Big Data solutions and how those sources provide additional insight for an organization. In this session, we explore concrete examples and demos of various data sets and determine whether or not they are Big Data. With each example, once we've come to a conclusion of the type of data it is, we explore when and why to choose a schema on write solution (traditional SQL/PDW) or a schema on read solution (Hadoop).

Published in: Technology
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Do You Have Big Data? (Most Likely!)

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  2. 2. “Big data is a collection of data sets so large and complex that it becomes awkward to work with using on-hand database management tools. Difficulties include capture, storage, search, sharing, analysis, and visualization.” – Wikipedia
  3. 3. Continued VOLUME (Size) VARIETY (Structure) VELOCITY (Speed)
  4. 4. Continued
  5. 5. Continued
  6. 6. Responding to New Questions How do I optimize my services based on patterns of weather, traffic, etc.? What’s the social sentiment of my product? How do I better predict future outcomes?
  7. 7. Distributed Storage (HDFS) Distributed Processing (Map Reduce) ODBC World’s Data (Azure Data Marketplace) Windows Azure Storage
  8. 8. ServerServer ServerServer RUNTIME
  9. 9. HadoopData Analytics
  10. 10. Machine Learning Graph Processing Distributed Compute Extract Load Transform Predictive Analysis
  11. 11. c
  12. 12. Frequent Item Sets – Market Basket Analysis
  13. 13. Finding Similar or Complimentary Items
  14. 14. en-us.aspx using-microsoft-s-familiar-bi-tools-with-hadoop.aspx
  15. 15.