Data Preparation

Data preparation in big data analytics is the process of cleaning, organizing, and transforming raw data into a usable format for analysis. This involves removing inaccuracies, filling in missing information, and ensuring data from different sources is consistent. The goal is to create a high-quality dataset that can reveal meaningful insights when analyzed. Think of it like preparing ingredients before cooking—properly prepared data leads to better analysis and more reliable results, helping businesses make informed decisions based on accurate information.