Approaching the data pipeline architecture
Before we get into the details of the individual components that will go into the architecture, it is helpful to get a 10,000 ft view of what we’re trying to do.
A common mistake when starting a new data engineering project is to try and do everything at once, creating a solution that covers all use cases. A better approach is to identify an initial, specific use case and start the project while focusing on that one outcome, but keeping the bigger picture in mind.
This can be a significant challenge, and yet it is really important to get this balance right. While you need to focus on an achievable outcome that can be completed within a reasonable time frame, you also need to ensure that you build within a framework that can be used for future projects. If each business unit tackles the challenge of data analytics independently, with no corporation-wide analytics initiative, it will be difficult to unlock the value of corporation...
