When designing a data architecture, it is crucial to create a model that considers the integration of all parts in a comprehensive manner. While the first process may be time-consuming, it will ultimately result in significant time and effort savings on future implementations, hence reducing frustration. It is imperative to conceptualize big data as a strategic approach rather than a singular undertaking.
Effective design concepts are essential when developing or improving an environment to facilitate big data, encompassing storage, analytics, reporting, and applications. The environment should encompass hardware, infrastructure software, operational software, management software, well-defined application programming interfaces (APIs), and software developer tools.
Your architecture must be capable of meeting all the fundamental needs.
- Capture
- Integrate
- Organize
- Analyze
- Act
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