12-Flink DataStream API Process Batch DataBounded Streaming

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Apache Flink, Apache Hadoop, HDFS, Apache YARN,Mongodb,Big Data, Realtime data process, Avro,Parquet,Apache Kafka,KSQL
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 Driven
A large number of cases
From shallow to deep
Course content is compact
Covers most of knowledge of the Apache Flink framework
Rich comprehensive cases
[Course Outline]
Apache Flink 1.17.2 Quick Start
Detailed explanation of Apache Flink 1.17.2 Job Deployment Mode
A detailed explanation of the runtime architecture of Apache Flink 1.17.2
Detailed explanation of Apache Flink 1.17.2 DataStream API and real-time application development
Detailed explanation of Apache Flink 1.17.2 Window API and real-time application development
In-depth interpretation of Apache Flink 1.17.2 Watermark-processing late and out-of-order data
Detailed explanation of Apache Flink 1.17.2 Stateful operators and Application
Detailed explanation of Apache Flink 1.17.2 Checkpoints & SavePoints & Exactly Once Semantic
I 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.