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Vincent Granville

R for Big Data in One Picture


This picture covers the following topics:

  1. Basic stack

  2. Integrated platforms

  3. Visualization

  4. Data formats

  5. Large & out-of-memory data

  6. Hadoop

  7. Glue

  8. As backend

  9. GPU

  10. in-database analytics

  11. Parallel

  12. Efficiency

  13. Packages

Some opinions expressed in this article may be those of a guest author and not necessarily Analytikus. Staff authors are listed in http://www.datasciencecentral.com/profiles/blogs/r-for-big-data-in-one-picture

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