This document discusses using Pig with Cassandra to perform analytics and data processing tasks. Pig allows running queries over Cassandra data and storing intermediate results in HDFS or Cassandra. Example uses include analytics, data exploration, validation, and correction. Configuration involves splitting the cluster into virtual datacenters and setting properties. Future work includes improving data type handling and adding support for secondary indexes and wide rows.