# Apache Flink Streaming - Mastering Streaming and Real-Time Data Processing with Apache Flink (Day 1 Lecture)

> This comprehensive video presentation explores the concepts of streaming and real-time data processing, distinguishing between low latency and high latency and elucidating their impact on data processing. The discussion encompasses the differences between real-time and near real-time processing, em…

- Web page: https://www.dataexpert.io/lesson/infra-flink-streaming-day-1-lecture-v3
- Program: [Data Engineering Boot Camp V2 Combined Track](https://www.dataexpert.io/program/data-engineering-boot-camp-v2-combined-track)
- Module: Week 3: Streaming Pipelines with Apache Flink
- Access: Requires enrollment in Data Engineering Boot Camp V2 Combined Track
- Length: 1 h video
- Skills: Data Modeling, ETL/ELT, Apache Spark, Kafka, Flink
- Academy: DataExpert.io Academy

## About this lesson

This comprehensive video presentation explores the concepts of streaming and real-time data processing, distinguishing between low latency and high latency and elucidating their impact on data processing. The discussion encompasses the differences between real-time and near real-time processing, emphasizing the necessity of clear communication with stakeholders. Challenges and considerations in working with streaming data, such as out-of-order events and late-arriving data, are addressed. Additionally, the importance of fault tolerance and its relation to data recovery is touched upon. The video serves as a valuable resource for data engineers and anyone interested in gaining insights into the intricacies of streaming and real-time data processing. [Recorded on Nov 28th]

## Navigation

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