This document provides tips and tricks for using Apache Spark. It discusses both the benefits of Spark, such as its developer-friendly API and performance advantages over MapReduce, as well as challenges, such as unstable APIs and the difficulty of distributed systems. It provides recommendations for optimizing Spark applications, including choosing the right data structures, partitioning strategies, and debugging and monitoring techniques. It also briefly compares Spark to other streaming frameworks like Storm, Heron, Flink, and Kafka.