• views: 119
• date: 20 November 2024
• posted by: AD-TEAM

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 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.
Who this course is for:
Big Data Engineer
Big Data Developer
Big Data Architecture

More Info




   
   
   

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