Data Preparing: Raw data is inherently messy and necessitates cleansing and pre-processing just before analysis. This phase includes tasks like figuring out and handling lacking values, correcting inconsistencies, formatting data right into a constant construction, and most likely eradicating outliers.Data lakehouses merge the very best components