BigData Project For Global Terrorism Database

Made by : Ines Achour / Safa Laabidi / Amal Sammari

In this project we made a pipeline to process the Global Terrorism Database (GTD) from Kaggle.

link : [https://www.kaggle.com/datasets/START-UMD/gtd].

The pipeline includes batch and stream processing that's why it's based on the Lambda Architecture.

Architecure

1-Data Ingestion

• Kafka

2-Data Processing

• Streaming : Spark Streaming
• Batch : Hadoop MapReduce

3-Data Storage

• Streaming : MongoDB
• Batch : HDFS (data before processing) & MongoDB (data after processing)

4- Data Visualization

• Dashboarding : MongoDB Charts

Other

Project Folders

1- No Kafka And No MongoDB

• GlobalTerrorism_Stream
• GlobalTerrorism_Batch

2- Kafka Without MongoDB

• GlobalTerrorism_Kafka_Stream

3- Kafka And MongoDB

• GlobalTerrorism_Kafka_Batch : append the sent data from Kafka to the database csv file
• GlobalTerrorism_Batch_MongoDB : launch the batch process on the csv database and save the result in MongoDB database
• GlobalTerrorism_Kafka_MongoDB : receive streaming data, process them and save result in MongoDB database

Visualization : https://charts.mongodb.com/charts-globalterrorism-inmsa/public/dashboards/bcd6aeb2-f6f9-4aee-bbab-38f7e0b60851