The success of Apache Spark is bringing developers to Scala. For big data, the JVM uses memory inefficiently, causing significant GC challenges. Spark's Project Tungsten fixes these problems with custom data layouts and code generation. Dean Wampler gives an overview of Spark, explaining ongoing improvements and what we should do to improve Scala and the JVM for big data.