Overview
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Explore how to design resilient and scalable data architectures on AWS by moving beyond traditional relational databases in this one-hour conference talk. Walk through real-world scenarios and dive deep into the strengths, trade-offs, and ideal use cases for AWS services including DynamoDB, Redshift, OpenSearch, Keyspaces, and other data storage solutions. Learn to evaluate different datastores for various requirements such as high write throughput, low-latency access, and complex analytics workloads. Gain a practical decision-making framework that will help you choose the most appropriate datastore for specific use cases and architectural needs. Discover how to leverage AWS's diverse data platform offerings to build robust, scalable systems that can handle modern application demands while maintaining performance and reliability.
Syllabus
Beyond Relational: Designing Resilient, Scalable Data Platforms on AWS
Taught by
AWS Events