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How to get started with data streaming? 10 proven use cases
Where should you start with data streaming? This 34-page Confluent guide presents ten practical use cases across industries, from finance and telecommunications to manufacturing, energy, and healthcare. Each chapter combines an explanation of the concept with an architecture diagram and concrete implementation examples, so you can read the entire guide or choose the area most relevant to your projects.
Download the guideWhat you will learn from the guide:
- how real-time data powers AI: from detecting fraud during payment processing and predictive maintenance to a chatbot handling flight booking changes,
- how to integrate legacy systems, including mainframes, with cloud applications without interrupting ongoing operations,
- how to reduce the load on your SIEM system and lower security monitoring costs,
- how to build reusable data products and event-driven microservices,
- how to replicate data between data centers and clouds, and connect OT and IT in IoT projects,
- how to enforce governance, compliance, and data sovereignty in flight, and support ESG reporting.
If you work with data, IT architecture, technology strategy, or AI implementation in your organization, this guide is for you.
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