Hi Nirmallya,
You can try using Kundera (https://github.com/impetus-opensource/Kundera), a
JPA 2.1 compliant Object-Datastore Mapping Library for major NoSql datastores.
It also supports Polyglot persistence out-of-the-box.
Quick start ->
https://github.com/impetus-opensource/Kundera/wiki/Ge
Spark's core module uses this connector to read data from Cassandra and
create RDD's or DataFrames in its workspace (In memory/on disc, depending
on the spark configurations). Then transformations or queries are applied
on RDD's or DataFrames respectively. The end results are stored back into
Cassa
On Tuesday, 17 March 2015 22:42:30 UTC+5:30, Chhavi Gangwal wrote:
>
> Hi All,
>
> We are happy to announce Kundera-2.16 release.
>
> Kundera is a JPA 2.1 compliant, polyglot object-datastore mapping library
> for NoSQL datastores. The idea behind Kundera is to make working with NoSQL
> dat