“Big data” is big, and tools to work with it are also big — in that they’re both numerous, and are growing in popularity and sophistication. One of the latest technologies aimed at making big data accessible and easier to analyze is Apache Spark — which operates in memory, is highly parallel, working with a number of programming languages (including Java, Scala, and Python), uses a variety of back ends, and can be queried using familiar tools such as SQL. In this talk, Spark developers Reynold Xin and Aaron Davidson introduce Spark, and describe what it can do for you and your organization.