(Oct. 1 2020) – RX-M is proud to announce its new Kubernetes for Data Scientists with Spark course, which is designed to provide working data scientists with a comprehensive introduction to Kubernetes and its use in data intensive applications. Topics include: common analytics and data processing pod design patterns, Spark scheduling, Machine Learning operations and more. Best practices are covered in class and students will leave with the information necessary to begin creating effective application manifests for sophisticated cloud native data science applications.
Enroll in on open enrollment date or contact RX-M for private training options.
RX-M is a Cloud Native training and consulting firm that provides customized open source-driven solutions at both the platform and application level, offering in-person and virtual services to customers globally. With offices in San Francisco and Miami, RX-M’s deeply experienced team consists of published open source authors, conference speakers, project contributors and committers, as well as Apache PMC members. We put our customers and their unique needs first, offering unbiased, market neutral advice and perspectives. Since our founding in 2012, RX-M has helped dozens of startups and Fortune 500 companies navigate and master a wide range of technologies, such as Kubernetes, Kafka, Cassandra, Spark and many others, while also providing advisory and tailored training services around methodologies and approaches critical to successful Cloud Native transformations, such as Agile, DevOps, SRE, CI/CD and GitOps.