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White Paper

From IoT to Effective Analytics— The Full Journey

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From data collection at scale to data processing in the Cloud or at the Edge—IoT architectures and data can provide enormous advantages through useful business and operational insights. At the same time however, their real-time nature introduces several technical challenges that require proper experience in the field in order to be dealt with adequately.

This paper introduces a blueprint for the customer journey from zero to hero with IoT data, devices management, real-time analytics and machine learning (ML) both in the cloud and at the edge. It also highlights the natural evolution of companies towards being more IoT- and data-driven, the role of Kafka as one of the key technologies, the possibilities it opens for them, and the challenges they will face. This journey is about way more than just collecting data—it’s just as much about the approach and mindset that guides this transformation.

Additional Resources

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Confluent Cloud Demo

Join us for a live demo of Confluent Cloud, the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka
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Kafka Microservices

In this online talk series, learn key concepts, use cases and best practices to harness the power of real-time streams for microservices architectures
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e-book: Microservices Customer Stories

See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices