Apache Spark is a leading platform that provides scalable and fast stream processing, but still requires smart design to achieve maximum efficiency. This course helps developers use best practices and validated design patterns to implement stream processing in Apache Spark. Instructor Kumaran Ponnambalam shows how to set up your environment and then walks through four design patterns and real-world use cases: streaming analytics, alerts and thresholds, leaderboards, and real- predictions. In chapter six, he introduces a start-to-finish project that shows how to go from design to executed job using Spark, Apache Kafka, MariaDB, and Redis. By the end of the course, you'll understand all the capabilities of this powerful platform and be able to incorporate it in your own data eeering solutions.

Streaming opportunities and challenges

Setting up the environment

Steaming analytics with Spark

Monitoring alerts and thresholds with Spark

Creating leaderboards with Spark

Generating real- predictions with Spark

Hands-on Spark streaming project



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