Apache Flink Fundamentals

• Experience with Java or Scala

Audience

• Developers
• Architects
• Data engineers
• Analytics professionals
• Technical managers

Apache Flink is an open-source framework for scalable stream and batch data processing.

This instructor-led, live training (online or onsite) introduces the principles and approaches behind distributed stream and batch data processing, and walks participants through the creation of a real-time, data streaming application in Apache Flink.

By the end of this training, participants will be able to:

• Set up an environment for developing data analysis applications.
• Understand how Apache Flink's graph-processing library (Gelly) works.
• Package, execute, and monitor Flink-based, fault-tolerant, data streaming applications.
• Manage diverse workloads.
• Perform advanced analytics.
• Set up a multi-node Flink cluster.
• Measure and optimize performance.
• Integrate Flink with different Big Data systems.
• Compare Flink capabilities with those of other big data processing frameworks.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

Installing and Configuring Apache Flink

Overview of Flink Architecture

Developing Data Streaming Applications in Flink

Managing Diverse Workloads

Performing Advanced Analytics

Setting up a Multi-Node Flink Cluster

Mastering Flink DataStream API

Understanding Flink Libraries

Integrating Flink with Other Big Data Tools

Testing and Troubleshooting

Summary and Next Steps