The Key to AI-Ready Data: Metadata
What is context engineering, and why is it so important to the success of analytics engineers and AI implementation?
To succeed as an analytics engineer, you need strong technical skills and even better business understanding and communication skills. This is because of all of the context that comes with data.
Data without a deep understanding of the who, what, why, and how won’t help you get the right answers to help drive revenue, scale your business, and make the be…
Keep reading with a 7-day free trial
Subscribe to Learn Analytics Engineering to keep reading this post and get 7 days of free access to the full post archives.

