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Apache Flink Fundamentals

28 Hours
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.
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Testimonials(2)

Sufficient hands on, trainer is knowledgable

Chris Tan
Course - A Practical Introduction to Stream Processing

Recalling/reviewing keypoints of the topics discussed.

Paolo Angelo Gaton - SMS Global Technologies Inc.
Course - Building Stream Processing Applications with Kafka Streams

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