Feature Engineering
Data professionals give careful consideration to all of the variables (columns, features) in their dataset. Machine learning professionals […]
engineering
Data Science Hierarchy of Needs
In 2017, Monica Rogati published the hierarchy of needs diagram in an article that showed where AI and […]
Data Engineering Life Cycle
The data engineering life cycle (lifecycle) helps us to look at the bigger picture. It’s tempting to dive […]
Data Pipelines Introduction
Data pipelines are sets of processes that move and transform data from different sources to a specific destination, […]
History of Data Engineering
In the early 2010s, we had huge increases in data volumes, velocity, and variety leading to the term […]
Data Engineering Introduction
Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data. It’s about […]
Rapid Application Development (RAD) Introduction
Software engineering’s objectives are to develop useful software on time and on budget. However, it is not realistic […]
Software Low-Level Design Introduction
Rod Stephens in his book Beginning Software Engineering divides software design into two parts: high-level and low-level design. […]
Software Engineering Introduction
What is software engineering? According to the book Beginning Software Engineering published by Wrox (a Wiley brand) in […]