Data Warehouse, Data Lake, or Data Lakehouse, which one to choose?

This is one of the most common questions that's been asked by many data professionals!! The answer lies in many factors, but in this article, we will see some key factors that will help us assess the right solution.

Below are some key factors that we need to consider before we choose any solution

The size of the data being collected , the diversity of the data formats and types , speed at which data is being generated, produced, created, or refreshed ,the quality and accuracy of data , how much value the organization will gain from analyzing the data and the people directly or indirectly consuming the data

Unified Architecture for Data Warehouse, Data Lake, and Data Lakehouse

Below is a unified data architecture that covers the three approaches for the implementation of a data platform solution for diverse needs.

Now let's look at the each solution and see what its sutiable for