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Accelerate insights from real-time streaming data at scale with databases, analytics and ML

Processing streaming data can be complex, especially if you need to react in real-time. Join this session to learn how you can to easily collect, process, and analyze real-time, streaming data at scale so you can get timely insights and react quickly to new information. We explain the common streaming data use cases and how to implement AWS solutions including analytics, data warehousing, serverless and ML for your data analytics. We demonstrate via use case scenarios including how to detect online transaction fraud in near-real time. We show how you can apply this approach to various data streaming and event-driven architectures, depending on the desired outcome and actions to take to prevent fraud. Download slides », Download demo »

Arun Balaji, Principal Prototyping Engineer, AWS India
Gopalakrishnan Subramanian, Principal Database Specialist Solutions Architect, AWS India