Course Overview
This 2-day course provides participants with the skills needed to leverage Spring Cloud Data Flow for real-time and batch data extraction, processing, and ingestion. You will get hands-on experience with installation and administration of Spring Cloud Data Flow; usage of the Spring Cloud Data Flow shell; creating, configuring, and deploying 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
Course Objectives
By the end of the course, you should be able to meet the following objectives:
• Spring Cloud Data Flow and the associated technologies used for processing data streams and batches
• How to install Spring Cloud Data Flow
• Spring Cloud Data Flow architecture
• How to create and leverage Spring Cloud Data Flow Streams
• How to create custom Spring Cloud Data Flow Stream applications by using Spring Boot and Spring Cloud Stream
• How to create and leverage Spring Cloud Data Flow Tasks by using Spring Cloud Task and Spring Batch
• Spring Cloud Data Flow analytics using counters and gauges
Pre-Requisite
Who Should Attend
• Developers and architects interested in using Spring Cloud Data Flow for handling their data processing use-cases.
• Teams who want to migrate existing Spring Integration or Spring Batch projects to Spring Cloud Data Flow.
Related Certification Exam
N/A
Course Modules
1. Introduction
• What is Data Ingestion?
• What is Spring Cloud Data Flow?
• When to use Spring Cloud Data Flow
2. Architecture
• Spring Boot and Data Microservices
• Spring Cloud Data Flow Components
3. Introduction to Streams
• Overview
• Stream App Starters
• Sources, Sinks, Processors
• Examples
• Taps
• Custom Sources and Sinks
4. Spring Cloud Stream
• Main Concepts
• Application Model
• Binders, Configuration, Content Type and Transformation
• Defining, Deploying & Managing Streams
• Testing
5. Using Docker
• Running Spring Cloud Data Flow using Docker containers
6. Using the Dashboard
• Dataflow UI
• Grafana Integration
7. Spring Batch
• Main Concepts
• Jobs, Steps and the Job Repository
• Item Readers, Processors and Writers
• Examples
8. Spring Cloud Task
• Main Concepts
• Creating Tasks
• Managing Tasks
• Triggering Tasks from Streams
9. Analytics
• Counters
• Discover available metrics via RES
