“Big Data” has become one of the most talked-about topics in the IT world, as organizations increasingly look to mine and analyze large data sets in search of trends, patterns and other insights that can provide competitive advantages. But storing and managing big data is a complicated process involving a mix of data warehousing and data management technologies.

In the second installment of a two-part video series, industry expert Wayne Eckerson provides an overview of data warehouse architectures for storing big data. Visitors who attend the classroom will learn:

• How to evaluate whether data architectures can handle big data
• How to distinguish between software-only solutions, appliances and file-based systems, such as Hadoop and NoSQL
• Next-generation data warehousing architecture that brings analytics out from the shadows into a mainstream endeavor supported by the IT department
• And more