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Next generation" data acquisition technologies are allowing scientists to collect exponentially more data at a lower cost. These trends are broadly impacting many scientific fields, including genomics, astronomy, and neuroscience. We can attack the problem caused by exponential data growth by applying horizontally scalable techniques from current analytics systems to accelerate scientific processing pipelines. In this paper, we describe ADAM, an example genomics pipeline that leverages thedoi:10.1145/2723372.2742787 dblp:conf/sigmod/NothaftMDZLYKAH15 fatcat:nokfli3y4fe6zi6avrluhncvau