Insightful applications employ machine learning and large-scale data processing to improve with longevity and popularity. Most of the applications you can’t live without today are insightful, and most applications you’ll be excited about developing tomorrow will be insightful as well. And, you'll want to deploy those applications on a contemporary container platform with a great developer workflow like OpenShift. Insightful applications pose new challenges for developers, and in this hands-on lab, we'll show you how to navigate them confidently. You'll learn how to develop an insightful application on OpenShift with Apache Spark using Red Hat products and community projects. We’ll cover why Apache Spark is a good fit for microservice architectures, a crash course in Apache Spark and some essential data science techniques, how to deploy Apache Spark as part of an OpenShift application, how to integrate Spark pipelines with other Red Hat storage and middleware products, and build a data-driven application. Come with some familiarity with Python, and learn from Red Hat engineers and data scientists who are focused on bringing insightful applications to OpenShift, developing new analytic approaches, and contributing to the key community projects that make this all possible.