Which of the following is a common tool used for data processing and analysis in Big Data?

Apache Flink is a prominent tool used for data processing and analysis in the realm of Big Data due to its capabilities in handling stream and batch processing seamlessly. It is specifically designed to manage large-scale data processing and offers real-time analytics, which is integral in modern data workflows. Flink supports complex event processing and is highly scalable to accommodate vast datasets that are typical in Big Data applications.

While other tools like Microsoft Excel, Oracle Database, and Tableau may have functionalities that can handle data analysis to varying extents, they are not primarily focused on the specific demands of Big Data processing in the same way Flink is. For instance, Excel is more suitable for smaller datasets and lacks the ability to manage real-time data streams effectively. Oracle Database has capabilities for handling large volumes of data but is not optimized for the distributed processing that Flink excels at. Tableau is a powerful visualization tool that allows for the analysis and visualization of data rather than being a primary data processing engine.

Thus, Apache Flink's architecture and design make it a more appropriate choice for Big Data processing and analysis compared to the other options provided.