DATA ENGINEERING FOR REAL-TIME ANALYTICS: TURNING DATA INTO INSTANT INSIGHTS

Abstract

This article explores the transformative impact of real-time analytics across industries driven by advances in data engineering. It examines the key components of real-time analytics systems, including data ingestion, stream processing, in-memory storage, and visualization tools. The article demonstrates how real-time analytics enables personalized user experiences, optimized operations, and data-driven decision-making through case studies of American subscription video streaming services and American multinational retail corporations. The benefits of rapid insights, improved customer experiences, operational efficiencies, and competitive advantages are discussed. While highlighting the tremendous potential, the article also addresses challenges in implementing real-time analytics, such as managing data volume and velocity, ensuring data quality, system scalability, security and privacy concerns, skill gaps, and integration complexities.