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Master Apache Spark implementation and optimization techniques on AWS cloud platform for efficient big data processing and analytics workflows.
Discover how to optimize AWS Auto Scaling with data-driven decisions, focusing on general concepts and specific ECS setups for your workloads.
Dive into Amazon Q Business's Agentic AI capabilities, exploring how it plans and executes actions across enterprise systems like Salesforce, Jira, and databases.
Discover how Amazon Route 53 Resolver DNS Firewall Advanced monitors and blocks suspicious DNS traffic, protecting against threats like DNS tunneling and Domain Generation Algorithms in real-time.
Discover how Amazon Q Developer can help you manage and troubleshoot workloads faster with hands-on demos from AWS experts Jay Busch and Rajakumar Sampathkumar.
Dive into implementing Knowledge Bases with Amazon Bedrock Agents, exploring Retrieval-Augmented Generation models and enhancing AI reasoning through external information sources.
Dive into common ECS issues, failure modes, and best practices with a live troubleshooting session featuring an AWS TAM guest who helps solve application problems.
Dive into AWS threat hunting fundamentals with practical CloudTrail and GuardDuty techniques to transform reactive security into proactive detection strategies for teams of all experience levels.
Discover how the Valkey engine in ElastiCache and MemoryDB improves performance and reduces costs, with demonstrations on implementation, migration, and integration.
Discover how to leverage OpenSearch Service's vector database capabilities to power generative AI applications, modernize search experiences, and simplify AI deployments through Amazon Bedrock integration.
Discover flexible approaches to meet GenAI needs with AWS, exploring Amazon Bedrock for serverless inferencing and SageMaker AI for serverful inferencing with greater infrastructure control.
Discover how Amazon SageMaker Unified Studio enables teams to securely discover, prepare, and collaborate on data assets while building analytics and gen AI applications through a single experience.
Explore Amazon S3 Tables architecture and benefits for managing tabular data at scale with Apache Iceberg support, improved performance, simplified security, and automatic cost management across various AWS query engines.
Discover how unified governance can transform your data and AI systems with practical steps for breaking down silos, improving data quality, and creating seamless operations that deliver faster, more reliable outcomes.
Discover how Amazon Data Firehose simplifies database change capture and replication to Apache Iceberg Tables in S3, enabling real-time streaming from PostgreSQL and MySQL sources for faster analytics with minimal performance impact.
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