# Streaming Pipelines: Kafka, Postgres, Spark Integrations and Parallelism 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.

- Web page: https://learn.dataexpert.io/lesson/streaming-pipelines-day-2-lab-yt
- Program: [Boot Camp: Community Edition](https://learn.dataexpert.io/program/free-community-boot-camp)
- Module: Real-time pipelines with Flink and Kafka
- Access: Requires enrollment in Boot Camp: Community Edition
- Length: 39 min video
- Skills: ETL/ELT, Apache Spark, Postgres, Kafka
- Academy: DataExpert.io Community 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.

## Navigation

- Previous lesson: [Streaming Pipelines: Exploring Data Collection and Processing Day 2 Lecture](https://learn.dataexpert.io/lesson/streaming-pipelines-day-2-lecture-yt.md)
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