Hadoop has forever changed the way we deal with data. Its ability to support parallel processing across disparate and massive data volumes means information that traditionally was beyond an organization’s ability to even attempt to store, let alone analyze, can now be a vital source of insight. From unstructured log files to never-ending clickstream records, Hadoop makes leveraging this data a reality in a scalable and economic way. However, being able to store and access big data is only part of the problem. You still need to make sense of it.