Without design principles, swimming in circles in a big data lake can make your arms tired. Fortunately, the data lake concept has evolved so that best practices have emerged. This Checklist Report discusses what your enterprise should consider before diving into a data lake project, no matter if it’s your first, second, or even third major data lake project. Presumably, adherence to these principles will become second nature to the data lake team and they will even improve upon them at some point.
Based on real data lake deployments, you will learn:
The role of a data lake in a modern data architecture
Data lake use cases—some that will surprise you
The 10 checklist items that are essential for evaluating your data lake strategy