Show Me How: Build Streaming Data Pipelines for Real-Time Data Warehousing | Register Today
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.