t;> Happy hacking
>>
>> Chris
>>
>> Von: Franc Carter
>> Datum: Mittwoch, 11. Februar 2015 10:03
>> An: Paolo Platter
>> Cc: Mike Trienis , "user@spark.apache.org" <
>> user@spark.apache.org>
>> Betreff: Re: Datastore HDFS v
>
> Happy hacking
>
> Chris
>
> Von: Franc Carter
> Datum: Mittwoch, 11. Februar 2015 10:03
> An: Paolo Platter
> Cc: Mike Trienis , "user@spark.apache.org" <
> user@spark.apache.org>
> Betreff: Re: Datastore HDFS vs Cassandra
>
>
> One a
:franc.car...@rozettatech.com>>
Datum: Mittwoch, 11. Februar 2015 10:03
An: Paolo Platter mailto:paolo.plat...@agilelab.it>>
Cc: Mike Trienis mailto:mike.trie...@orcsol.com>>,
"user@spark.apache.org<mailto:user@spark.apache.org>"
mailto:user@spark.apache.org>>
Betreff
One additional comment I would make is that you should be careful with
Updates in Cassandra, it does support them but large amounts of Updates
(i.e changing existing keys) tends to cause fragmentation. If you are
(mostly) adding new keys (e.g new records in the the time series) then
Cassandra can b
