It depends of course on the background of the people but how about some
examples ("word count") how it works in the background.
> On 01 Feb 2016, at 07:31, charles li <[email protected]> wrote:
>
>
> Apache Spark™ is a fast and general engine for large-scale data processing.
>
> it's a good profile of spark, but it's really too short for lots of people if
> then have little background in this field.
>
> ok, frankly, I'll give a tech-talk about spark later this week, and now I'm
> writing a slide about that, but I'm stuck at the first slide.
>
>
> I'm going to talk about three question about spark in the first part of my
> talk, for most of my colleagues has no background on spark, hadoop, so I want
> to talk :
>
> 1. the background of birth of spark
> 2. pros and cons of spark, or the situations that spark is going to handle,
> or why we use spark
> 3. the basic principles of spark,
> 4. the basic conceptions of spark
>
> have anyone met kinds of this problem, introduce spark to one who has no
> background on your field? and I hope you can tell me how you handle this
> problem at that time, or give some ideas about the 4 sections mentioned above.
>
>
> great thanks.
>
>
> --
> --------------------------------------
> a spark lover, a quant, a developer and a good man.
>
> http://github.com/litaotao
