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RDBMS Meets Hadoop: Integrating, Re-Architecting, and Transitioning

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Abstract

Recently, I was at the Strata + Hadoop World Conference, chatting with a senior executive of a major food corporation who used a relational solution for storing all its data. I asked him casually if they were thinking about using a Big Data solution, and his response was: “We already did and it’s too slow!” I was amazed and checked the facts again. This corporation had even availed of the consulting services of a major Hadoop vendor and yet was still not able to harness the power of Big Data.

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Notes

  1. 1.

    www.seas.upenn.edu/∼zives/03f/cis550/codd.pdf “A Relational Model of Data for Large Shared Data Banks”

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© 2016 Bhushan Lakhe

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Lakhe, B. (2016). RDBMS Meets Hadoop: Integrating, Re-Architecting, and Transitioning. In: Practical Hadoop Migration. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-1287-5_1

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