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5 Big Data Recruitment Myths Busted
Executive Grapevine | Executive Grapevine International Ltd

5 Big Data Recruitment Myths Busted


Big Data is a term that can’t be escaped these days. Whatever it is you need to know – if your data is big enough then you’ll find the answer. Yet it remains a term shrouded in confusion with many in the recruitment sector secretly skeptical as to what Big Data can help them achieve.

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Comments (1)

  • John
    Mon, 22 Jun 2015 11:30pm BST
    it will be interesting to see if any of the big data technologies bring applied to recruitment such as wolf talent actually speed up hiring. Big data and analytics is something which has been discussed for the past couple of years but as yet hasn't proved to work.
  • Mich Talebzadeh
    Mich Talebzadeh
    Sun, 22 Feb 2015 9:57pm GMT

    I have talked about Big data in my blog https://talebzadehmich.wordpress.com/

    I agree with most points raised here. Big Data is nowadays a vogue of the Month or the year. I recall around 10 years ago Linux was in the same category as well. Anyway we have got used to these trends. Bottom line Big Data is a trendy term these days and if you don’t know about it and you are in I.T. then you are missing the buzz.

    Big Data has come about due to massive explosion of unstructured data from social media. Traditionally over the past 20-30 years the bulk of data used in many industries including Financial sector is stored in relational databases in structured format. Yes the one with tables and columns, primary keys, indexes, third normal form and stuff that originated by Dr Codd in 1980. Before that they were hierarchical and network databases but we won’t go into that. The current estimate is that around 20-30% of available data is stored in structured format and the rest are unstructured. Unstructured refers to piece of data that either does not have a pre-defined data model or is not organized in a pre-defined manner. So if you are coming from relational database management background like myself, you may be correctly asking yourself, why we need all this when we have reliable, time tested relational databases (RDBMS)? The answer is something that probably you already know. In short not every data fits into a structured mold and the unstructured data accounts for 70% of the data!

    Also Big Data relying on Hadoop distributed file system (HDFS) can take advantages of cheap commodity hardware to horizontally spread data on various boxes akin to a server farm. In contract, most relational databases are based on vertical scaling (meaning being on the same physical hardware).

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