What steps can you take to create a data engineering culture and mindset for machine learning and AI?
Data engineering is the foundation of machine learning and artificial intelligence (AI) projects. It involves designing, building, and managing data pipelines and systems that can handle large and complex data sets, as well as ensuring data quality, reliability, and security. Without data engineering, machine learning and AI models cannot be trained, tested, or deployed effectively. Therefore, creating a data engineering culture and mindset is essential for any organization that wants to leverage the power of machine learning and AI. In this article, you will learn what steps you can take to create a data engineering culture and mindset for machine learning and AI.