In this completed 4 part series, John Webster provides tips on managing big data in an organization. First article covers how big data analytics differs from traditional data warehousing and introduce the distributed compute cluster as a foundation to big data analytics. Next, John looks at storage in distributed computing and takes a deeper look into how Hadoop creates and uses a storage layer. After that, John examines a three-stage storage model that incorporates NAS and SAN with Hadoop’s storage layer. Finally, John evaluates Hadoop as a storage device by using some of the same decision points a storage administrator would use to evaluate a storage array.