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Discover how EarthScope leverages AWS to revolutionize earthquake early warning systems through real-time GNSS data processing, enabling faster disaster detection and response for critical infrastructure protection.
Discover how Amazon Q Developer's AI-powered assistant enhances AWS application development through interactive coding, architecture insights, and automated transformations.
Discover how zero-ETL capabilities streamline data integration from enterprise apps like Salesforce into Amazon SageMaker Lakehouse and Redshift, automating extraction for enhanced analytics and ML solutions.
Dive into Netflix's large-scale data migration journey from Apache Hive to Apache Iceberg, exploring custom tooling, security features, and innovative solutions for managing exabyte-scale data lakes.
Master prompt engineering techniques for LLMs using Claude 2 on Amazon Bedrock, covering best practices, format selection, and API parameter tuning for enhanced accuracy and performance.
Master Amazon S3 storage optimization strategies to balance cost and performance, from data lake analytics to ML training workloads, while discovering features that reduce costs and enhance performance.
Discover how BMW Group developed an advanced AI voice assistant for vehicles, combining cloud and offline capabilities to create a natural, branded in-car experience using AWS technology.
Discover how generative AI tools are revolutionizing software development, boosting productivity through task automation, and enhancing collaboration, with real-world examples from organizations like FINRA.
Discover how to build generative AI applications by combining AWS Amplify, Amazon Q, and Bedrock for intelligent search, summarization, and chatbot features in full-stack development.
Discover how BBVA built a global data platform powering data lake and mesh architectures, focusing on migration strategies, security controls, and automated tools for multi-region deployment using AWS services.
Master Amazon SageMaker's MLOps tools for streamlining generative AI workflows, from training to deployment. Learn to automate processes, govern models at scale, and implement efficient ML pipelines using latest capabilities.
Explore high availability and disaster recovery design patterns for Amazon Aurora, featuring Multi-AZ deployments, Global Database, and RDS Proxy to build resilient applications at global scale.
Discover how Amazon ECS and AWS App Runner streamline container orchestration, accelerate production deployments, and enable scalable platform building through seamless AWS service integration and real-world examples.
Discover the latest AWS compute innovations, from advanced instance types to containers and serverless technologies, transforming how applications run in cloud, on-premises, and edge environments.
Discover how Netflix leverages Apache Iceberg and Maestro for efficient incremental data processing, reducing compute costs while maintaining data accuracy and managing late-arriving data at scale.
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