We use the solution for data pipeline by modernizing the traditional ETL jobs done through advanced streaming. Another use case is building the g2g streaming platform, which facilitates data exchange between various ministries. It functions basically as a data integration application. A third use case involves fraud detection. By integrating with existing fraud detection software like Safer Payments, IBM Streams can access real-time event streams and enable internal actions based on fraud indicators. This makes it a valuable tool for the banking and financial sectors.
What is Streaming Analytics? Streaming analytics, also known as event stream processing (ESP), refers to the analyzing and processing of large volumes of data through the use of continuous queries. Traditionally, data is moved in batches. While batch processing may be an efficient method for handling huge pools of data, it is not suitable for time-sensitive, “in-motion” data that could otherwise be streamed, since that data can expire by the time it is processed. By using streaming...
We use the solution for data pipeline by modernizing the traditional ETL jobs done through advanced streaming. Another use case is building the g2g streaming platform, which facilitates data exchange between various ministries. It functions basically as a data integration application. A third use case involves fraud detection. By integrating with existing fraud detection software like Safer Payments, IBM Streams can access real-time event streams and enable internal actions based on fraud indicators. This makes it a valuable tool for the banking and financial sectors.