Online Analytical Processing (OLAP) plays a critical role in organizations as it enables the generation of insights from large datasets, helping businesses assess performance and make data-driven decisions. As companies grow, the volume of data increases significantly, presenting a real challenge for timely and efficient data analysis. In this paper, we will explore Amazon Redshift, a highly intelligent and scalable data warehouse solution designed to handle the demands of modern-day data processing. Redshift not only processes vast amounts of data efficiently but also continuously evolves to support complex analytical workloads. This research will focus on understanding the architecture and capabilities of AWS Redshift, its optimization techniques, and its best practices for scaling data analytics operations under heavy workloads.