Foundations of Data Engineering with Python
- Introduction to data engineering principles using Python.
- Data manipulation and transformation with pandas and NumPy.
- Building basic ETL pipelines with Python libraries.
Big Data Processing with Python
- Utilizing Python libraries like PySpark for distributed computing.
- Handling large-scale data processing with Dask and other Python-based tools.
- Introduction to parallel processing and optimization techniques.
Real-time Data Processing with Python
- Streaming data processing using Python frameworks like Kafka-Python.
- Building real-time data pipelines with Python’s asyncio module.
- Implementing event-driven architectures for continuous data processing.
Data Pipeline Orchestration with Python
- Workflow management with Python-based tools like Luigi or Apache Airflow.
- Designing and scheduling complex data workflows using Python scripts.
- Deployment and monitoring of data pipelines using Python monitoring libraries.
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