Video description
Data streaming and event-driven architectures are inherently flexible and scalable, allowing organizations to build systems that manage large amounts of data based on actual business usage and needs and to work with that data in real-time. Moving data from system to system is vital for becoming a data-led organization and harnessing the power of data for machine learning, but migrating existing architectures and building new architectures to support big data are the real hard parts of software architecture.
Whether you're examining the viability of these concepts or trying to make the most of an ongoing migration, these sessions offer expert guidance on maximizing their value to your organization.
What you'll learn and how you can apply it
Learn how events work and best practices for modeling and implementing them
Learn how to implement event-driven architectures using cloud-based services
Understand which choices to prioritize to get to a state of flow architecture
This live course is for you because...
You work on your company's architecture or are an aspiring architect who wants to learn how to design for the demands of machine-learning systems.
You want to learn how to implement event-driven style architectures to make resilient, customer-first solutions.
Recommended follow-up
Read Software Architecture: The Hard Parts (book)
Watch Foundations of Data Mesh (on-demand course)
Read Data Mesh (book)
Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.

https://rapidgator.net/file/66ba661fbd567daa591430625b44c1d7/Software_Architecture_Superstream_Streaming_and_Event-Driven_Architecture_for_Data-Driven_Systems.rar.html