The Importance of Late Binding for Big Data Analytics

In this video from the 2013 XLDB conference at SLAC, Stephen Brobst from Teradata presents: The Importance of Late Binding for Big Data Analytics.

The term “Big Data” is very often associated with high volume data. However, the “bigness” of the data is the least interesting aspect of big data analytics. The true value and innovation in big data analytics comes from the ability to extract value from non-traditional data that does not necessarily fit cleanly into a relational model. This gives rise to a new approach for acquisition of data into an analytic repository using “NoETL” techniques whereby structure is not added to the data at load time – but rather at query time using a late binding style of data access.

You can check out more talks from the XLDB conference at YouTube.