As a GIS analyst in telecom specializing in Fiber-to-the-Home (FTTH) networks, I’ve spent years working with geospatial data. But this year, I set a new goal: to build robust data engineering skills…

Data Engineer Things

The post details a geospatial professional's transition into data engineering by mastering Docker fundamentals and best practices. It covers key aspects such as Docker setup, container security, resource management, and the use of Docker Compose for production-ready environments. It also highlights the importance of secure configuration and iteration in system design, using real-world examples of data pipeline implementation and containerization strategies.

From GIS to Data Engineering: Mastering Docker Fundamentals and Best Practices

Introduction: Why Expand Beyond Geospatial?

Docker Fundamentals, Setup & Best Practices