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AWSエッジコンピューティングデバイスSnowconeの機能、利点、ユースケースを学ぶ。エッジでのコンピューティング、データ転送、ストレージの課題に対処する方法を解説。技術仕様や料金モデルも紹介。
Aprenda a extrair, catalogar, consultar e visualizar dados de revisões do AWS Well-Architected Framework usando serviços como Lambda, Glue, Athena e QuickSight para criar relatórios personalizados.
Hands-on troubleshooting of API Gateway with Lambda proxy integration, focusing on identifying and fixing configuration issues to achieve desired API response and status code.
Explore how cloud technology benefits healthcare, enhancing patient care, data security, and innovation while reducing administrative burdens and ensuring regulatory compliance.
نظرة شاملة على خدمات الحوسبة في AWS، تغطي الفئات الرئيسية وكيفية اختيار الخيار الأمثل لكل حالة استخدام، مع التركيز على المزايا والاعتبارات الرئيسية.
Discover AWS tools for developing, running, and modernizing .NET applications. Learn about IDE toolkits, libraries, and migration tools to enhance your .NET development on AWS.
เรียนรู้การสร้างฟังก์ชัน Lambda และแอปพลิเคชันแบบไม่ต้องใช้เซิร์ฟเวอร์ ครอบคลุมการทำงาน การเขียนโค้ด การกำหนดค่า การติดตั้งใช้งาน การทดสอบ และการแก้ไขปัญหา
Amazon EFS 솔루션의 설계와 배포를 학습합니다. 가용성, 성능, AWS 통합을 고려한 아키텍처 구축과 파일 시스템 설정, 연결, 비용 최적화 방법을 다룹니다.
探索 Amazon Aurora 数据库的并行查询功能,了解如何优化大型数据集的查询性能,并学习识别适合使用并行查询的场景。
Explore o Amazon Aurora com consulta paralela para melhorar o desempenho de cargas de trabalho analíticas em grandes conjuntos de dados, aprendendo quando e como aplicá-la para obter os maiores benefícios.
Amazon Aurora의 병렬 쿼리 기능을 활용해 대규모 데이터셋에서 빠른 분석 성능을 경험하고, 워크로드 최적화 방법을 학습하는 실습형 교육
Amazon Auroraのパラレルクエリ機能を活用し、大規模な航空データセットに対する高速なクエリ処理と分析を学ぶ実践的なハンズオンラボ。パフォーマンス最適化技術を習得。
Explora las consultas paralelas en Amazon Aurora para mejorar el rendimiento de cargas de trabajo analíticas en grandes conjuntos de datos. Aprende cuándo aplicarlas y cómo obtener el máximo beneficio en bases de datos relacionales en la nube.
AWSへの移行を効率化・加速化するMigration Hubの特徴と利点を学び、移行の各フェーズでのツールの活用方法を習得する実践的なコース。
Learn serverless architecture with AWS Lambda, SNS, and SQS in a 1-hour lab from Amazon Web Services.
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