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 explores 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 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

This course is offered by the Teradata Education Network. To enroll online, click the Training URL link below to go to the TEN site and Log in. If you're not a member click browse, select your region, and search on the Course Number. Or to enroll by phone, call the Enrollment Center at 1-937-242-4460. Note: You must be a member to register for a course.

Audience: Database Administrator, Designer/Architect, Application Developer, Data Analyst

Course number:50373
Training URL:
Format:Recorded webcast
Credit hours:0.50