One way to analyze and visualize real-time streaming data in Tableau is by using Tableau's Web Data Connector (WDC) feature. WDC allows you to connect to streaming data sources, such as APIs or web sockets, and pull in the data directly into Tableau for analysis and visualization. You can then create live dashboards that update in real-time as the data changes.

Another approach is to use Tableau's Tableau Server or Tableau Online in conjunction with a data streaming platform like Apache Kafka or Amazon Kinesis. These platforms can receive and process real-time streaming data, and then Tableau can connect to them as a data source using its built-in connectors. This allows you to build real-time dashboards and reports based on the streaming data.

Additionally, Tableau's Data Engine, known as Hyper, can process and analyze large volumes of data at incredible speeds, making it suitable for real-time analytics. By leveraging Hyper's in-memory technology, you can connect Tableau to a streaming data source and perform near-instantaneous analysis and visualizations on the data.