Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.
This repo provides examples of Flink integration with Azure, like Azure Kubernetes, Azure SQL Server, Azure Data Factory, etc.
Outline the examples in the repository.
| Example | Description | Pipeline Status |
|---|---|---|
| Flink Streaming Examples | Examples for Flink Streaming, including custom source & sink | |
| Flink Stream Batch Unified Examples | Examples for Flink Stream Batch Unified Connector | |
| Flink History Server | Examples for Flink History Server | |
| Flink CDC SQL Server Examples | Examples for Flink CDC SQL Server Connector | |
| Flink on Native Azure Kubernetes | Examples for Flink Job on Native Azure Kubernetes | |
| Flink Azure Data Factory Cloud Native Extension | Flink Azure Data Factory Cloud Native Extension | |
| Flink Deep Learning Tensorflow | Flink Online & Offline Training, Tensorflow Integration |
Basic:
- Git
- Java Development Kit (JDK) 1.8
- Apache Maven and install a Maven binary archive
- Azure CLI
Azure:
- Azure Container Registry
- Azure Kubernetes
- Azure SQL Server
- Azure Data Factory
- Azure Data Lake Storage Gen2
- Azure Blob Storage NFS Support
- Azure Storage Fuse
Flink:
Deep Learning:
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