Spring for Apache Hadoop simplifies developing Apache Hadoop by providing a unified configuration model and easy to use APIs for using HDFS, MapReduce, Pig, and Hive. It also provides integration with other Spring ecosystem project such as Spring Integration and Spring Batch enabling you to develop solutions for big data ingest/export and Hadoop workflow orchestration.
Check out the book from O'Reilly Media Spring Data: Modern Data Access for Enterprise Java that contains several chapters on using Spring for Apache Hadoop. Sample code for the book is also available on github here.
Spring for Apache Hadoop supports a number of Apache releases as well as commercial distributions from Pivotal, Hortonworks and Cloudera.
The supported distros varies by release version, see wiki page for details.
Also, see the wiki page for Maven build details.
The continuous integration builds for most supported versions can be seen here.