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Compare AWS storage services — Amazon EBS, EFS, FSx, S3, Snow Family, Storage Gateway — and pick the right option for migration, hybrid, backup and data protection scenarios.
AWS 도구를 활용해 이질적인 고객 데이터를 통합하고 실행 가능한 데이터로 처리하는 서버리스 분석을 다룹니다.
분리된 애플리케이션의 통합 방식을 선택하고 구성 요소를 오케스트레이션하는 방법을 소개합니다.
從隔離、存取控制、命名空間、記憶體管理與安全通訊等面向,深入探討容器安全與風險評定。
Aprende los fundamentos de las aplicaciones desacopladas y a elegir métodos de integración como API, colas, temas y buses de eventos.
Amazon Athenaの概要と基本的な実装手順を学び、AWSマネジメントコンソールでSQLクエリを実行するデモを行います。
Découvrez comment utiliser AWS IAM pour authentifier et autoriser des services, gérer les politiques et créer utilisateurs et groupes.
Pelajari dasar arsitektur aplikasi terpisah dan cara memilih integrasi melalui API, antrean, topik, atau event bus.
Scopri come Amazon SageMaker supporta pipeline, notebook e istanze di machine learning, dall’addestramento alla valutazione e all’ottimizzazione automatica dei modelli.
Kurze Einführung in Amazon DynamoDB als Schlüssel-Wert- und Dokumentendatenbank mit Überblick über Funktionen, Anwendungsfälle und Abrechnung.
Grundlagen der Cloud-Beschaffung: AWS-Einkaufsstrategien, Partnerauswahl und Stakeholdergespräche wirksam gestalten.
온프레미스와 클라우드 직무를 비교하고 Infrastructure as Code가 클라우드 조직의 책임과 역량을 어떻게 바꾸는지 살펴봅니다.
Scopri le sfide dell'inferenza del machine learning e come affrontarle con AWS Inferentia, Amazon EC2 Inf1 e AWS Neuron.
Pengenalan singkat Amazon QLDB sebagai layanan basis data grafik AWS, mencakup fitur inti, cara kerja, kasus penggunaan, dan tagihan.
Panoramica dei concetti, della terminologia e della pipeline del machine learning, con introduzione al deep learning e alle categorie di algoritmi.
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