I'd highly recommend looking at using Spark instead of Hadoop if you need
to run batch analytics over your Cassandra data - it integrates much
better, has more flexibility and will be faster/more efficient. You'll save
yourself a lot of time and hassle.

If you really need to use Hadoop for batch analytics, you should take a
look at using this approach to ETL your Cassandra backups to HDFS:
https://www.youtube.com/watch?v=eY5oSZnwmJg
The main benefits of this approach is that it is fast, scalable and has
little to no performance impact on your Cassandra cluster. Once the data is
in HDFS you can run your Hadoop jobs over it. The downside is that it isn't
open-source (AFAIK), so you'd have to build it yourself.

On Sun, 22 Oct 2017 at 20:41 Lutaya Shafiq Holmes <lutayasha...@gmail.com>
wrote:

> I would like to get some help on Integrating Casssandra with Hadoop,
>
> How do I get started with this Process
>
> --
> Lutaaya Shafiq
> Web: www.ronzag.com | i...@ronzag.com
> Mobile: +256702772721 <+256%20702%20772721> | +256783564130
> <+256%20783%20564130>
> Twitter: @lutayashafiq
> Skype: lutaya5
> Blog: lutayashafiq.com
> http://www.fourcornersalliancegroup.com/?a=shafiqholmes
>
> "The most beautiful people we have known are those who have known defeat,
> known suffering, known struggle, known loss and have found their way out of
> the depths. These persons have an appreciation, a sensitivity and an
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> deep loving concern. Beautiful people do not just happen." - *Elisabeth
> Kubler-Ross*
>
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*Justin Cameron*Senior Software Engineer


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