- Apache Flink Tutorial
- Apache Flink - Home
- Apache Flink - Big Data Platform
- Batch vs Real-time Processing
- Apache Flink - Introduction
- Apache Flink - Architecture
- Apache Flink - System Requirements
- Apache Flink - Setup/Installation
- Apache Flink - API Concepts
- Apache Flink - Table API and SQL
- Creating a Flink Application
- Apache Flink - Running a Flink Program
- Apache Flink - Libraries
- Apache Flink - Machine Learning
- Apache Flink - Use Cases
- Apache Flink - Flink vs Spark vs Hadoop
- Apache Flink - Conclusion
- Apache Flink Resources
- Apache Flink - Quick Guide
- Apache Flink - Useful Resources
- Apache Flink - Discussion
Apache Flink Tutorial
Apache Flink is the open source, native analytic database for Apache Hadoop. It is shipped by vendors such as Cloudera, MapR, Oracle, and Amazon. The examples provided in this tutorial have been developing using Cloudera Apache Flink.
Audience
This tutorial is intended for those who want to learn Apache Flink. Apache Flink is used to process huge volumes of data at lightning-fast speed using traditional SQL knowledge.
Prerequisites
To make the most of this tutorial, you should have a good understanding of the basics of Hadoop and HDFS commands. It is also recommended to have a basic knowledge of SQL before going through this tutorial.
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