Explore a comprehensive conference talk from Spring I/O 2017 that delves into harnessing the power of Apache Spark and Apache Cassandra within Spring applications. Learn about the advantages of these cutting-edge data analysis tools and their integration with Spring frameworks. Discover how Spark, a cluster-computing framework, enables rapid processing of large datasets using distributed in-memory computations and functional programming. Gain insights into Cassandra, a highly scalable and fault-tolerant decentralized datastore used by major tech companies. Understand the synergy between Spark and Cassandra, and how they can be leveraged in Spring applications. Explore code examples, learn about potential pitfalls and their solutions, and see real-world applications of these technologies. The talk covers topics such as Spark's modules, Cassandra's architecture, data modeling, and integration with Spring XD and Data. Get practical advice on cluster design, resource management, and common data pipeline patterns. Witness demonstrations of Spark and Cassandra in action within a Spring application, including configuration, coding practices, and deployment considerations. Read more