In some areas, big data tools, such as Hadoop and HBase, overlap with relational databases and data warehouses. Putting the hyperbole aside, how should you choose when both systems provide analytic value?
This session will explore the clear differentiators between Hadoop and the data warehouse, helping you decide when to use which software for a task. Then it gets murky because multiple requirements must be considered before making a choice about where to host an analytic task. Digging into those requirements helps shine some light on the best decision. We'll examine Hadoop as the repository and refinery, the data warehouse for integrated data, and then delve into use cases. Some of the use cases include temporary data, sand boxes, consumer churn and recommendation engines. The session ends with a quick look at Teradata Aster.
Note: This was a 2013 Teradata Partners Conference session.
Presenter: Dan Graham – Teradata Corporation