Subject: Masking username in Spark with regexp_replace and reverse functions

Thanks guys.

All the analysis on windowing functions are done using the authentic names.
I only randomize names for the reporting purposes. So the figures tend to
be correct.

I agree with you Jorn that masking one name is not enough and one can
identify the row through transaction dates and the amount paid. Also most
tools these days tokenize the name and account numbers not realising that
certain information like mobile numbers are unique IDs.

In this case it is just a case study but for real world it will require
professional tools and approach.

Thanks again.

Dr Mich Talebzadeh

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On Sun, 17 Mar 2019 at 09:50, Jörn Franke <[EMAIL PROTECTED]> wrote: