reporting data access patterns.
Paolo
Inviata dal mio Windows Phone
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Da: Mike Trienis mike.trie...@orcsol.com
Inviato: 11/02/2015 05:59
A: user@spark.apache.org
Oggetto: Datastore HDFS vs Cassandra
Hi,
I am considering implement Apache Spark on top
franc.car...@rozettatech.com
Datum: Mittwoch, 11. Februar 2015 10:03
An: Paolo Platter paolo.plat...@agilelab.it
Cc: Mike Trienis mike.trie...@orcsol.com, user@spark.apache.org
user@spark.apache.org
Betreff: Re: Datastore HDFS vs Cassandra
One additional comment I would make is that you should
@spark.apache.orgmailto:user@spark.apache.org
Betreff: Re: Datastore HDFS vs Cassandra
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
. Februar 2015 10:03
An: Paolo Platter paolo.plat...@agilelab.it
Cc: Mike Trienis mike.trie...@orcsol.com, user@spark.apache.org
user@spark.apache.org
Betreff: Re: Datastore HDFS vs Cassandra
One additional comment I would make is that you should be careful with
Updates in Cassandra, it does
Trienismailto:mike.trie...@orcsol.com
Inviato: 11/02/2015 05:59
A: user@spark.apache.orgmailto:user@spark.apache.org
Oggetto: Datastore HDFS vs Cassandra
Hi,
I am considering implement Apache Spark on top of Cassandra database after
listing to related talk and reading through the slides from
