Data-Engineering
5 posts
Geohash: When Clever Isn't Always Smart
A deep dive into the limitations of the Geohash algorithm, including boundary issues, non-uniform cell sizes, and common implementation mistakes to avoid.
Data Engineering Podcast
Hear insights on the Data Engineering Podcast discussing predictive maintenance, industrial IoT data challenges, and essential data engineering best practices.
Tendencies of Data Engineers and Scientists
Explore the relationship dynamics and challenges between data engineering and data science teams, including their approaches, collaboration, and best practices.
Common Data Pitfalls for Recurring Machine Learning Systems
Explore common data pitfalls in recurring machine learning systems, including new categories, data format changes, sending issues, deduplication, and updates.
Data Science vs. Data Engineering
Understanding the fundamental differences between data science and data engineering through the lens of methodology rather than tools