# Processing data with Apache Flink  (Day 2 Lab)

> In this lab, we delve into data processing capabilities of Flink. We will explore components like Kafka, Postgres, and Spark, witnessing how they collaborate in efficient data pipelines. The concept of parallelism and its impact on Flink jobs will be demystified. Throughout the session, we will hig…

- Web page: https://www.dataexpert.io/lesson/flink-streaming-day-2-lab-v4
- Program: [Data Engineering Mastery Course](https://www.dataexpert.io/program/data-engineering-mastery-course)
- Module: Week 5: Kafka-Flink Streaming Pipelines
- Access: Requires enrollment in Data Engineering Mastery Course
- Length: 23 min video
- Skills: Python, ETL/ELT, Apache Spark, Airflow, Cloud Platforms, AWS, Flink
- Academy: DataExpert.io Academy

## About this lesson

In this lab, we delve into data processing capabilities of Flink. We will explore components like Kafka, Postgres, and Spark, witnessing how they collaborate in efficient data pipelines. The concept of parallelism and its impact on Flink jobs will be demystified. Throughout the session, we will highlight key features and considerations for managing sizable Flink pipelines. To top it off, we will run a live popularity contest, showcasing Flink in action. Gain a swift understanding of Flink capabilities and optimization strategies in this hands-on lab.[Recorded June 6th, 2024]

## Navigation

- Previous lesson: [Spark Fundamentals (Day 1 Lecture)](https://www.dataexpert.io/lesson/spark-batch-day-1-lecture-v4.md)
- Next lesson: [Kafka Fundamentals, consumer APIs with Confluent (Day 1 Lab)](https://www.dataexpert.io/lesson/flink-streaming-day-1-lab-v4.md)