https://github.com/muneeb706/data-engineering-samples

Respository that contains sample data engineering tasks
https://github.com/muneeb706/data-engineering-samples

kafka pymongo pyspark python

Last synced: 24 days ago
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Respository that contains sample data engineering tasks

• Host: GitHub
• URL: https://github.com/muneeb706/data-engineering-samples
• Owner: muneeb706
• Created: 2024-07-28T00:36:23.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-08-05T01:04:01.000Z (3 months ago)
• Last Synced: 2024-08-05T02:55:07.482Z (3 months ago)
• Topics: kafka, pymongo, pyspark, python
• Language: Python
• Homepage:
• Size: 27.3 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Engineering Samples

Contains sample implementation of data engineering tasks.

- [How to Shard Streaming Data with Apache Kafka](https://github.com/muneeb706/data-engineering-samples/tree/main/streaming/multiple_shards)

    1. Set up a Kafka cluster on your local machine and run it on port 9092 ([Quickstart guide](https://kafka.apache.org/quickstart)).

    2. Create a shard topic with multiple partitions `python kafka_admin.py`

    3. Run the producer to send messages to partitions of the topic `python producer.py`

    5. Run consumers to consume data from each partition e-g `python consumers/part_1_consumer.py`

    6. Monitor partition assignment `python monitor.py`

- [How to build patient profile by aggregating data from various sources using PySpark](https://github.com/muneeb706/data-engineering-samples/tree/main/map_reduce/build_patient_profile)

    This project demonstrate how to reads patient data from multiple CSV files, combine and process the data using PySpark, and save the resulting patient profiles to a MongoDB collection for further analysis and querying.

    1. Install Requirements `pip install -r requirements.txt`.

    2. Generate sample data `python data_generator.py`

    3. Run script to read, aggregate, and save data to MongoDB using PySpark `python read_data_spark.py`. Data will be saved in db (medical_db.patient).

    5. Run script to read and print data for patient with given patient_id e-g `python read_data_mongo.py --patient_id=patient_99`