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Spring Cloud Data Flow Developer
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Spring Cloud Data Flow Developer Introduction
Welcome to our “Spring Cloud Data Flow Developer” training, a pivotal program for those aiming to master data processing and orchestration in microservices environments. This two-day course is designed to provide foundational knowledge and practical skills essential for working with data microservices on various platforms.
Embark on an educational journey exploring the functionalities of a cloud-native framework tailored for data microservices. Our curriculum offers a deep dive into leveraging this technology for diverse data operations, including both real-time and batch processes. Gain hands-on experience in crucial areas such as installation, administration, stream and task management, and effective scaling strategies.
Course Highlights
- Develop a thorough understanding of data stream processing within this framework.
- Practical training in setting up and managing environments.
- Techniques for customizing, deploying, and scaling data streams and tasks.
- Insights into developing custom modules and applications with Spring Boot and Cloud Stream.
- Integration of complementary technologies for optimal data management.
- Analytical skills development using counters and gauges.
Prerequisites
- Basic Spring knowledge or Core Spring course completion.
- Comfort with basic OS command-line operations.
- Fundamental Java development skills, including Apache Maven usage.
Audience
- Developers and architects seeking proficiency in data processing using this framework.
- Professionals transitioning existing Spring Integration or Batch projects to this new environment.
Spring Cloud Data Flow Developer Course Outline
Introduction
- What is Data Ingestion?
- What is Spring Cloud Data Flow?
- When to use it
Architecture
- Spring Boot and Data Microservices.
- SCDF Components.
Introduction to Streams
- Overview
- Stream App Starters.
- Sources, Sinks, Processors.
- Examples
- Taps
- Custom Sources and Sinks.
Spring Cloud Stream
- Main Concepts.
- Application Model.
- Binders, Configuration, Content-Type, and Transformation.
- Defining, Deploying and managing Streams.
Using Docker
- Running Spring Cloud Data Flow using Docker containers.
Using the Dashboard
- Dataflow UI.
- Grafana Integration.
Spring Batch
- Main Concepts.
- Jobs, Steps, and the Job Repository.
- Item Readers, Processors, and Writers.
- Examples
Spring Cloud Task
- Main Concepts.
- Creating Tasks.
- Managing Tasks.
- Triggering Tasks from Streams.
Analytics
- Counters
- Discover available metrics via RES.
$1600.00
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2 Days Course |