The Apache Pig community released Pig 0.13. earlier this month. Pig uses a simple scripting language to perform complex transformations on data stored in Apache Hadoop. The Pig community has been working diligently to prepare Pig to take advantage of the DAG processing capabilities in Apache Tez. We also improved usability and performance.
This blog post summarizes the progress we’ve made.
Support for Backends Other Than MapReduce
We made the Pig 0.13 architecture more general to support multiple backends beyond just MapReduce, while maintaining backward compatibility.…