Apache Flink, Apache Hadoop, HDFS, Apache YARN,Mongodb,Big Data, Realtime data process, Avro,Parquet,Apache Kafka,KSQL

What you'll learn:
Clearly to know What is Apache Flink
Apache Flink Stream API
Apache Flink Resource Provider and Deployment Mode
Apache Flink internal architecture
Apache Flink Windows and Window Operator
Apache Flink Watermarks and Strategies
Apache Flink distributed state and backend stores
Flink Job Fault Tolerance
Requirements:
Apache Hadoop (mandatory)
Java 1.8+ (mandatory)
Linux basic commands (mandatory)
Apache Kafka (Optional)
Apache Kafka Streams Framework(Optional)
Apache Maven(Optional)
Description:
      Thank you very much for enroll my course. This is a complete instructional video about Apache Flink 1.17.x. In this video, I will introduce it in great detail from shallow to deep and practice the usage details of each Apache Flink framework.      Apache Flink is a framework and distributed processing engine for stateful computation on unbounded and bounded data streams. Flink is designed to run in all common cluster environments, performing computations at memory speeds and at any scale.【Course Features】Code and cases DrivenA large number of casesFrom shallow to deepCourse content is compactCovers most of knowledge of the Apache Flink frameworkRich comprehensive cases[Course Outline]Apache Flink 1.17.2 Quick StartDetailed explanation of Apache Flink 1.17.2 Job Deployment ModeA detailed explanation of the runtime architecture of Apache Flink 1.17.2Detailed explanation of Apache Flink 1.17.2 DataStream API and real-time application developmentDetailed explanation of Apache Flink 1.17.2 Window API and real-time application developmentIn-depth interpretation of Apache Flink 1.17.2 Watermark-processing late and out-of-order dataDetailed explanation of Apache Flink 1.17.2 Stateful operators and ApplicationDetailed explanation of Apache Flink 1.17.2 Checkpoints & SavePoints & Exactly Once SemanticI hope you like this course. After studying this course, you will become an expert in Apache Flink and be able to build complex real-time event processing applications based on Apache Flink.
Who this course is for:
Big Data Engineer
Big Data Developer
Big Data Architecture

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