Every model you build can hit a wall when the data won’t fit in your computer’s memory. This chapter shows you how to knock that wall down. You’ll learn to scale the techniques you already know using clever packages, parallel computing, and distributed systems. That way you can extract meaning from really large datasets without losing statistical rigor.