This document discusses new directions for Apache Spark in 2015, including improved interfaces for data science, external data sources, and machine learning pipelines. It also summarizes Spark's growth in 2014 with over 500 contributors, 370,000 lines of code, and 500 production deployments. The author proposes that Spark will become a unified engine for all data sources, workloads, and environments.