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IBM TechSoftware 2011 - IMT10 - Streams

IBM TechSoftware 2011 - IMT10 - Streams-2025

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The document discusses IBM's InfoSphere Streams, a platform designed for real-time data analysis and processing. It highlights the increasing volume of data generated globally and the need for advanced analytics to handle this influx. The content covers various applications of InfoSphere Streams in sectors like finance, healthcare, and environmental monitoring, emphasizing its capabilities in managing high-velocity data streams and providing rapid responses to events. Additionally, it outlines the development environment, programming model, and toolkits available for users to create efficient streaming applications.

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We have answers to the most popular questions from our customers. If you can't find an answer to your question, please contact us.

What is the open source streaming technology that underpins IBM Event Automation event streams?

Built on open source Apache Kafka, IBM Event Streams is an event-streaming platform that helps you build smart applications that can react to events as they happen.

Which technology can be used to perform event stream processing?

Event Driven Architecture Apache Flink. Apache Kafka. Complex Event Processing (CEP) Data Pipeline. Directed Acyclic Graph (DAG) Event Stream Processing. Publish/Subscribe. Real-Time Stream Processing.

What are event streaming platforms?

Event streaming is a type of data processing where data is continuously generated, collected, and processed in real time. This approach contrasts with traditional batch processing, which handles data in discrete chunks at set intervals.

What are IBM streams?

IBM Streams is a software platform that enables the development and execution of applications that process information in data streams. IBM Streams enables continuous and fast analysis of massive volumes of moving data to help improve the speed of business insight and decision making.

Is Kafka used for event streaming?

In the world of event streaming, Kafka and Flink are two of the most recognizable technologies in use today. Apache Kafka is where your event streams live. Each event gets pushed into a Kafka topic where it can be consumed by any downstream systems interested in reacting to those events.