Hadoop For SQL Folks: Architecture, MapReduce and Powering IoT

  • Comments posted to this topic are about the item Hadoop For SQL Folks: Architecture, MapReduce and Powering IoT

    Frank Banin
    BI and Advanced Analytics Professional.

  • Very good technical overview of Hadoop. Thanks.

    Note to editor: I spotted numerous grammar errors and what appears to be missing words. For example, "the content of the text file is splitted into 3 blocks ". 'splitted' is not correct, use 'split'.

  • I agree. The numerous grammar errors mar an otherwise excellent article.

  • andycao (8/6/2015)


    I agree. The numerous grammar errors mar an otherwise excellent article.

    I could not finish the article due to the horrible grammar and punctuation. It distracted me to the point where I could not follow the content.

  • In trying to convey substance it is very easy to ignore grammar. I will be cognizant of that the next time. I appreciate the feedback.

    Frank Banin
    BI and Advanced Analytics Professional.

  • I enjoyed this article immensely and look forward to the next in the series.

    I thought initially that "well vexed in Java" was a typo but on reflection I think you are correct. Certainly when you compare Java to Python or Scala it seems a lot of trouble.

    Yarn (yet another resource negotiator) is quite important as it allows workloads to be protected from other hungry processes. Yarn labels allow certain worker nodes to be dedicated to particular apps. This is very important when there are applications that are licences on the number of worker nodes in the cluster dedicated to the app.

    Oracle licence ODI (Oracle equivalent of SSIS) on the number of cores in the entire cluster. Even those not dedicated to data processing.

  • Excellent article. Are you going to write more articles about Hadoop?

    I am very interested in PolyBase, SSIS with Hadoop.

  • I think that in figure 3 you mean "name nodes" instead of "name none".

    Anyway, great article.

  • Thanks for the continued in depth look at Hadoop

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