This image illustrates the main components and steps involved in working with Big Data. The process begins with data collection from various sources such as websites, mobile devices, applications, sensors, and social media platforms. These sources contribute to the volume, velocity, and variety of data that are hallmarks of big data systems (IBM, 2024). Once gathered, this data is stored in cloud-based systems, enabling scalability and real-time access to information across distributed environments. From there, data analysis and machine learning tools are used to uncover trends, correlations, and actionable insights. These insights are often shared through data visualization platforms to help businesses interpret the information more clearly and respond with agility. Cloud technology plays a crucial role at every stage, providing the infrastructure necessary to manage and process massive datasets efficiently and securely (Google Cloud, 2024).