This document discusses big data in education and its importance. It defines big data as large datasets that are difficult to store, manage, and analyze using typical database tools due to their size. While big data is often defined by its size, what matters more is what is done with the data. The document advocates understanding how big data can be applied to learning to provide valuable insights into what works well and how to replicate successes. It discusses moving from simply collecting data to making connections with data through analytics and mashing up different data sources. The benefits of learning analytics and academic analytics are noted. Examples of potential big data demonstrations and directions are also provided.