Redefining Data Engineering with AI
by Ashok Singamaneni, Sarath Chandra Bandaru, Phani Vemuri, Aditya Chaturvedi
Chapter 3. Planning with Intent
Imagine there is an outdoor event planned for a friend’s reunion. The idea might have originated from one person, and someone else might be organizing it. But the intent is to have a reunion. With the same intent, an invitation needs to be designed, and various aspects of what goes in it need to be decided. For example: the date, venue, time, and number of guests. Having gathered all the information, the invitation must be drafted and sent to the required parties. If it’s a wedding instead of a reunion, the intent changes, and hence the invitation design, date, venue, time, and number of guests. So the intent is fundamental to any plan’s success. Planning with intent is not just about planning tasks; it is about explicitly aligning every decision with a clear purpose, outcome, or goal.
The same analogy applies to any data engineering project. Intent and requirements play a crucial role in shaping assumptions, design choices, and technology decisions for any use case. As ...
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