Lokální instruktorem vedené Apache Flink školení České republice.
Reference
Recalling/reviewing keypoints of the topics discussed.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Kurz: Building Stream Processing Applications with Kafka Streams
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Roxane Santiago - SMS Global Technologies Inc.
Kurz: Building Stream Processing Applications with Kafka Streams
The lab exercises. Applying the theory from the first day in subsequent days.
Dell
Kurz: A Practical Introduction to Stream Processing
The trainer was passionate and well-known what he said I appreciate his help and answers all our questions and suggested cases.
Kurz: A Practical Introduction to Stream Processing
The trainer was passionate and well-known what he said I appreciate his help and answers all our questions and suggested cases.
Kurz: A Practical Introduction to Stream Processing
Apache Flink Návrh Školení
This instructor-led, live training 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.
- Package, execute, and monitor Flink-based, fault-tolerant, data streaming applications.
- Manage diverse workloads.
- Perform advanced analytics using Flink ML.
- 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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