These are infrastructures, platforms, or software hosted by external providers and delivered to users over the internet. Leading providers such as AWS and Microsoft Azure offer a wide range of cloud services, including computing, analytics, storage, and more.

Organizations can choose a tailored mix of resources to meet their specific requirements, build distributed databases, analyze large volumes of data, and much more. Additionally, cloud services allow businesses to store, share, and process data without investing in or maintaining costly in-house servers.

As the volume and complexity of big data continue to grow, many companies struggle to fully leverage their insights. Cloud services provide convenient, on-demand access to a shared pool of configurable computing resources, enabling faster data processing, scalable infrastructure, and integrated analytics. By adopting cloud solutions, organizations can reduce costs, boost efficiency, and enhance security and compliance.

Big data processing and analytics are central to unlocking the full potential of cloud services. By establishing a distributed infrastructure, all data is integrated into a single, unified system for easier processing and analysis. Such a setup typically includes automation tools for resource management, backup, scaling, and other governance features, ensuring seamless data management.

Within this distributed environment, data is processed, analyzed, and visualized—all within one architecture. This approach eliminates data silos, consolidates information in one location, and delivers substantial processing power and storage capacity for advanced data analysis and machine learning.