Apache Spark is a rapidly growing and highly popular open source project that was Initially developed at the University of California, Berkeley’s AMPLab, starting in 2009. Spark is a next-generation, cluster-computing, runtime processing environment and development framework for in-memory advanced analytics. It continues to deepen open source platforms in the big data arena by leveraging and extending Apache Hadoop framework investments into machine learning, streaming data, SQL and graph analytics use cases. This slideshow presentation provides a crisp, ten-point summary of what every data analytics professional should know about Spark. Hungry for more information on Spark? Learn more about Spark today at BigDataUniversity.com