Like many other scientific disciplines, astronomy has witnessed a tremendous growth over the past two decades. As a result, astronomers have become very efficient at creating massive datasets that describe the properties of our nearby universe. Given its primarily visual focus, and its potential to address fundamental questions about humanity, astronomy is in the unique position to be an ideal testbed for algorithms and techniques that address "big data" problems. As a result, the astronomical community, in coordination with all NASA data centers, is trying to cope with "big data" by making use of novel approaches to data mining, data visualization, and data distribution.
Here I will present two applications that showcase how astronomers are tackling the problems associated with the wealth of data at their disposal. First I will describe how GPUs, coupled with clever image processing and Mathematica, are helping the search for extraterrestrial planets. Then I will show how citizen science is changing the social fabric of astronomy and redefining what scientific questions can be addressed by large datasets.