Udemy - Apache Flink with Scala 3

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Udemy - Apache Flink with Scala 3 (Size: 1 MB)
  1. Deployment on Kubernetes.mp4 58.3 MB
  1. Flink Pipeline.mp4 39.7 MB
  1. Introduction to Timely Streaming.mp4 22.1 MB
  1. Prerequisites.mp4 8.2 MB
  10. Handling Time with Multiple Streams.mp4 19.8 MB
  10. Hands-on Low Level APIs Part One.mp4 31.2 MB
  11. Hands-on Low Level APIs Part Two.mp4 16 MB
  11. Hands-on Window Join.mp4 32.7 MB
  12. Data Transformation II Handling Multiple Streams.mp4 8.5 MB
  12. Stateful Streaming.mp4 26.8 MB
  13. Hands-on Handling Multiple Streams.mp4 38.8 MB
  13. State Types.mp4 18.1 MB
  14. Hands-on Value State.mp4 38.7 MB
  14. Side Output.mp4 9.6 MB
  15. Hands-on List State.mp4 32.3 MB
  15. Hands-on Side Output.mp4 31.1 MB
  16. Checkpoints.mp4 15.8 MB
  16. Output.mp4 22.2 MB
  17. Hands-on Checkpoint.mp4 37.9 MB
  17. Hands-on Integration with Kafka.mp4 72.2 MB
  2. Data Source.mp4 9.7 MB
  2. Introduction.mp4 17.4 MB
  2. Windows I Window Assigners.mp4 22.8 MB
  3. Hands-on Data Source Part One.mp4 27.8 MB
  3. Hands-on Handling events with Processing Time.mp4 25 MB
  3. Why Flink.mp4 18.1 MB
  4. Flink Cluster and Life Cycle.mp4 22.4 MB
  4. Hands-on Data Source Part Two.mp4 9.6 MB
  4. Hands-on Handling events with Event Time.mp4 13 MB
  5. Hands-on Data Source Part Three.mp4 24.6 MB
  5. Windows II Window Lifecycle.mp4 29.7 MB
  6. Kafka Source.mp4 29.9 MB
  6. Windows III Window Functions.mp4 36.2 MB
  7. Data Transformation.mp4 26.3 MB
  7. Hands-on Tumbling Window.mp4 40.9 MB
  8. Hands-on Data Transformation.mp4 15.6 MB
  8. Hands-on Sliding Window.mp4 20.8 MB
  9. Hands-on Global Window.mp4 31.2 MB
  9. Low Level APIs.mp4 13.1 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 41 total files

Description


Apache Flink with Scala 3

https://DevCourseWeb.com

Published 4/2024
Created by Jing Cao
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 39 Lectures ( 2h 40m ) | Size: 1 GB

Your all-in-one learning source for Apache Flink!

What you'll learn:
Learn Flink's basic and advanced concepts and architecture each followed by hands-on exercises in Scala 3
Learn how Flink handles stream processing, distributed and stateful computation
Learn to handle event time processing using Flink's watermarks mechanism and window operation
Learn to integrate Flink version 1.17 with Kafka and Kubernetes using Scala 3
Learn to write stateful applications using Flink's key concepts including checkpoint mechanism, map state, list state and value state
Learn Flink's deployment modes and deploy your own Flink application on Kubernetes

Requirements:
Basic understanding of functional programming languages such as Scala

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