https://github.com/ahmetfurkandemir/data-engineering-project-with-hdfs-and-kafka

Data Engineering Project with Hadoop HDFS and Kafka
https://github.com/ahmetfurkandemir/data-engineering-project-with-hdfs-and-kafka

data data-engineer data-engineering data-engineering-pipeline docker docker-compose hadoop hadoop-filesystem hadoop-hdfs hdfs hdfs-client hdfs-dfs kafka kafka-consumer kafka-producer kafka-ui kafkaui pipline python python-hdfs-client

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Data Engineering Project with Hadoop HDFS and Kafka

• Host: GitHub
• URL: https://github.com/ahmetfurkandemir/data-engineering-project-with-hdfs-and-kafka
• Owner: AhmetFurkanDEMIR
• License: mit
• Created: 2023-11-04T12:35:07.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-11-04T12:56:14.000Z (about 1 year ago)
• Last Synced: 2024-05-07T18:17:01.277Z (9 months ago)
• Topics: data, data-engineer, data-engineering, data-engineering-pipeline, docker, docker-compose, hadoop, hadoop-filesystem, hadoop-hdfs, hdfs, hdfs-client, hdfs-dfs, kafka, kafka-consumer, kafka-producer, kafka-ui, kafkaui, pipline, python, python-hdfs-client
• Language: Python
• Homepage:
• Size: 3.46 MB
• Stars: 8
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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![](https://img.shields.io/badge/Amazon_AWS-FF9900?style=for-the-badge&logo=amazonaws&logoColor=white) ![](https://img.shields.io/badge/Ubuntu-E95420?style=for-the-badge&logo=ubuntu&logoColor=white) ![](https://img.shields.io/badge/Python-FFD43B?style=for-the-badge&logo=python&logoColor=blue) ![](https://img.shields.io/badge/Docker-2CA5E0?style=for-the-badge&logo=docker&logoColor=white) ![](https://img.shields.io/badge/Apache_Kafka-231F20?style=for-the-badge&logo=apache-kafka&logoColor=white)

# Data Engineering Project with HDFS and Kafka

![](/images/map.png)

A project to create a data pipeline with data taken from Hepsiburada data engineering case study.

* [docker-compose.yml](/docker-compose.yml)

* [config-hadoop](/config-hadoop)

* [Producer](/docker/producer/)

    

    * [Dockerfile](/docker/producer/Dockerfile) 

    * [HB data](/docker/producer/hb-data.json)

    * [Kafka producer](/docker/producer/kafka_producer.py)

    * [requirements](/docker/producer/requirements.txt)

* [Consumer](/docker/consumer/)

    * [Dockerfile](/docker/consumer/Dockerfile) 

    * [Kafka consumer](/docker/consumer/kafka_consumer.py)

    * [requirements](/docker/consumer/requirements.txt)

    * [HDFS](/docker/consumer/hdfs.py)

### Steps

Open an Ubuntu machine via AWS EC2 for the project.

![](/images/instance.png)

Open the necessary ports on the machine through the firewall.

![](/images/ingress.png)

You also need to open the necessary ports with the operating system.

```bash

sudo ufw allow 9870

sudo ufw allow 8080

sudo ufw allow 8088

```

Then, stand up the docker images.

```bash

docker-compose up --build

```

One minute after the images stand up, data begins to be written to the Kafka topic and activity begins in the data pipeline.

Data from Kafka topic. IP:8080 or [0.0.0.0:8080](http://0.0.0.0:8080)

![](/images/kafka_ui.png)

Hadoop HDFS interface. IP:9870 or [0.0.0.0:9870](http://0.0.0.0:9870)

![](/images/hdfs_datanode.png)

Data from HDFS. IP:9870 or [0.0.0.0:9870](http://0.0.0.0:9870)

![](/images/hdfs_data.png)

Hadoop cluster interface. IP:8088 or [0.0.0.0:8088](http://0.0.0.0:8088)

![](/images/hadoop.png)

[Ahmet Furkan Demir](https://ahmetfurkandemir.com/)