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Event Processing with IBM Event Automation
Define and detect business scenarios in real-time


Define and detect business scenarios in real-time

WatsonWorks Products
IBM Storage Software
IBM® Event Automation touts a scalable, low-code event stream processing platform that helps you automate and act on data in real-time. Event processing works with any Kafka implementation, and also any other kind of event broker that implements the Kafka Protocol.
#Event-Processing-IBM-Event-Automation
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Overview:

Simplify Apache Flink with low-code: Build and instantly test stream processing flows for anything that implements the Kafka Protocol

IBM Event Automation touts a scalable, low-code event stream processing platform that helps you automate and act on data in real-time. It also enables you to filter, aggregate, transform and join streams of events with assistance and validation at each step.

Translate raw data to relevant events

Connect the dots between disparate events and respond to new trends, threats and opportunities in real-time. IBM Event Automation gives you the ability to put events into context and get the insights you need before it’s too late.

Empower users across the board

Process events for real-time intelligence without the technical bottleneck. IBM Event Automation empowers users from all teams to make event processing easy with a drag and drop, low-code interface for Apache Flink.

Experiment and iterate quickly

Drive confidence in scaling event-driven initiatives through the platform's experiment and practice functionalities. IBM Event Automation helps to quickly test new ideas, expand into new use cases and accelerate your time to value.

Features:

How event processing works

low code

Use low-code authoring canvas

The visual editor allows you to easily process your events by applying a sequence of operations to your sources. This helps you to quickly and efficiently define the scenarios you need to detect and respond to. Tutorials and in-context assistance allow any team member to easily get up to speed and start contributing.

Assisted Processing

Apply processing operations with assistance

The system allows you to combine and join events from multiple event sources and filter to remove irrelevant events from your stream. Likewise, it allows you to aggregate events to summarize values over different windows of time and transform events to perform calculations that use fields within the event to derive new information.

Testing and Results

Test your flow and see results instantly

IBM Event Automation allows users to back test against historical events. If something does not look right, you can quickly iterate on it, make edits and re-run the flow. After that, you can immediately inspect the results to assess if they meet your goals.

Automate and Act

Automate and act (slack notifications, automation software, etc.)

Event automation enables the use of event flows that you’ve built to trigger automations, feed business dashboards and send notifications to systems or relevant stakeholders across the organization.

Benefits:

Specifications:

Pricing Notes:

WatsonWorks Products
IBM Storage Software
IBM® Event Automation touts a scalable, low-code event stream processing platform that helps you automate and act on data in real-time. Event processing works with any Kafka implementation, and also any other kind of event broker that implements the Kafka Protocol.
#Event-Processing-IBM-Event-Automation
Our Price: Request a Quote