Spring Cloud Data Flow is a cloud-native programming and operating model for creating, orchestrating and deploying composable data microservices on modern runtimes. This three-day course provides participants with the skills needed to leverage Spring Cloud Data Flow for real-time and batch data extraction, processing, and ingestion.
The course offers hands-on experience with installation and administration of Spring Cloud Data Flow; usage of the Spring Cloud Data Flow shell; creating, configuring, deploying, and scaling streams and tasks; as well as the development of custom modules including sink, processor, and source stream applications by using Spring Boot and Spring Cloud Stream.
Instructor-led: Private (onsite) only
Developers and architects interested in using Spring Cloud Data Flow for handling their data processing use cases.
Individuals who want to migrate existing Spring Integration or Spring Batch projects to Spring Cloud Data Flow.
Basic understanding of Spring and/or completion of the Core Spring course.
Familiarity with running basic OS commands from a shell/command-prompt
Basic Java development skills, including ability to run Apache Maven commands
Basic knowledge of Cloud Foundry and Cloud Foundry CLI
Following software installed:
Java 1.8 JDK
STS IDE or any other IDE
MySQL, Redis, and RabbitMQ for local development.
Private Onsite Class
Pivotal's private classes are taught by Pivotal Certified Instructors at your training facility
or via our Live Online (virtual) platform.