JDBC is the driver used to access a database with Java. Greenplum has a full working JDBC implementation.
In this short article we'll see how to use it.
With an announce on the forum, Greenplum staff has spoke out about the new version of their Database Management System.
I can't resist to blog about some of its new features.
In the [previous article](https://blog.2ndquadrant.com/en/2011/12/a-greenplum-41-handbook.html) we have seen how to install Greenplum on multiple nodes.
After installation steps, we must init the entire system.
Let's see how.
One of the main advantages using Greenplum is that it gains power when it uses multiple nodes.
Horizontal scalability is a main feature of Greenplum.
Here is a compact handbook to install a multi-node Data Warehouse environment with Greenplum.
The fifth edition of the Italian PGDay went well beyond our initial expectations. We had about 75 participants, a total of 95 people including staff and speakers.As I said during the event, rather than PGDay Italy, this should be named PGDay for Italian speakers given the presence of staff from Switzerland (Canton Ticino). Participants came from 12 regions: all regions but Val d'Aosta in the north/centre area, but also from Southern Italy (Naples and Calabria).
Greenplum does not officially support Ubuntu Server 11.10 as underlying operating system.
However, I needed to install it on the most recent Ubuntu server just to perform some tests and evaluate it.
Through this article, we are going to complete the MapReduce job started in the [previous article](https://blog.2ndquadrant.com/en/2011/10/mapreduce-in-greenplum.html).
We have a remote datasource, served by a gpfdist server. We need to import the data in a Greenplum database, while performing some ETL manipulation during the import.
It is possible to accomplish this goal with a simple transformation in a few steps using Kettle.
Mapreduce is a very trendy software framework. It has been introduced by Google (TM) in 2004.
It is a large topic, and it is not possible to cover all of its aspetcs in a single blog article.
This is a simple introduction to the _mapreduce_ usage in Greenplum 4.1.