SQL for Streaming, Semi-Structured, and Operational Analytics

  • Sumit Pal


This chapter is divided into three major topics: SQL on semi-structured data, SQL on streaming data, and SQL for operational analytics on big data platforms. It covers the technologies for each of the preceding areas in which SQL can be applied in big data systems. Because of the ubiquity, ease of understanding, and available skill set of SQL, rather than designing a new way to query and access data irrespective of its origin, mode of availability, or format, SQL is being increasingly used as the way to access these data sets. New tools and frameworks are being developed today with this in mind, and at the same time, existing tools and frameworks are being morphed to ensure that they accept SQL as the lingua franca for any of these data types.


Bloom Filter Streaming Data Snapshot Isolation Continuous View Operational Workload 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Sumit Pal 2016

Authors and Affiliations

  • Sumit Pal
    • 1
  1. 1.WilmingtonUSA

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