Simple demo of some features of the Esper Complex Event Processing (CEP) engine.
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Updated
Apr 9, 2021 - Java
Simple demo of some features of the Esper Complex Event Processing (CEP) engine.
This project demonstrates real-world big data engineering practices using Apache Spark (PySpark). It covers the entire data pipeline — from ingestion, transformation, and validation to exploration and reporting. Ideal for data engineers and analysts looking to gain practical experience with Spark, Airflow, and data lake design.
Process of scheduled data extraction, transform and load is done using Apache Airflow and PySpark
Github Analytics: A small scale end-to-end data engineering project with near real-time data update
Pipeline ETL automatizado (DataOps) que extrae, procesa y visualiza ofertas de empleo tecnológico en Chile usando Node.js, Python, PostgreSQL y Streamlit.
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