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Building a streaming data platform with Amazon Managed Streaming for Apache Kafka and Amazon Kinesis

Many organizations trying to build streaming analytics architectures from their real-time data sources often struggle with finding the right architectural patterns that work for them. In addition, streaming data analysis also require unique skills and having a good understanding of stream processing concepts like window, time, and state can be complex. This session covers the process of building a streaming data platform with AWS solutions including Amazon Managed Streaming for Apache Kafka and Amazon Kinesis. We dive deep into the architecture and capabilities of these services and demonstrate how they can be used to build a highly scalable, fault-tolerant, and performant data streaming solution. Learn the key concepts such as data ingestion, stream processing, data storage, and data analytics, and get practical insights on best practices and use cases. By the end of the session, walk away with the knowledge of how to build a streaming data platform to manage large volumes of real-time data and unlock valuable insights for your organization. Download slides », Download demo »

Speaker: Masudur Rahaman Sayem, Senior Streaming Solutions Architect, AWS