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Spring Cloud Data Flow :: Learn how to build, deploy and launch streaming and batch data pipelines using Spring Cloud Data Flow

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Getting Started with Spring Cloud Data Flow

This guide walks you through an overview of Spring Cloud Data Flow and the process of orchestrating an event-driven streaming and short-lived batch data pipelines.

What is Spring Cloud Data Flow?

A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes. You can learn more about the Spring Cloud Data Flow from the Microsite, documentation, and samples.

Furthermore, you can read Spring Cloud Data Flow’s architecture and the building blocks to familiarize yourself.

Spring Cloud Data Flow and Pre-built Streaming Applications

In the following guide, you will create and deploy a streaming data pipeline using pre-built applications.

Spring Cloud Data Flow and Custom Streaming Applications

In the following guide, you will create and deploy a streaming data pipeline using custom applications.

Spring Cloud Data Flow and Simple Task

In the following guide, we demonstrate how to register a Spring Cloud Task application with Data Flow, create a Task definition, and launch the Task definition on Cloud Foundry, Kubernetes, and your local machine.

Spring Cloud Data Flow and Batch Jobs

In the following guide, we demonstrate how to register a Spring Batch application with Data Flow, create a task definition, and launch the task definition on Cloud Foundry, Kubernetes, and your local machine.

Spring Cloud Data Flow and Composed Task

In the following guide, we demonstrate how to orchestrate a Composed Task with a combination of both a simple task and a batch job application.

Summary

Congratulations! You have completed Spring Cloud Data Flow’s high-level overview, and you were able to build, deploy, and launch streaming and batch data pipelines in Cloud Foundry, Kubernetes, and Local.

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Spring Cloud Data Flow :: Learn how to build, deploy and launch streaming and batch data pipelines using Spring Cloud Data Flow

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