You can access the distribution details by navigating to My Print Books(POD) > Distribution
Data pre-processing and exploration represent the foundational pillars of any successful data
engineering project, consuming approximately 70-80% of a data scientist's time according to
industry surveys. This critical phase transforms raw, often chaotic data into a structured,
analyzable format that enables meaningful insights and robust analytical models. The
significance of data pre-processing cannot be overstated, as the quality of insights derived from
any analytical endeavor is fundamentally dependent on the quality of the underlying data.
Currently there are no reviews available for this book.
Be the first one to write a review for the book Data Engineering and Foundation for Big Data.