面對日新月異的大數據工具,有時候很難跟上這節奏。有鑑於此,Amazon Web Services提供了廣泛而完善的雲端運算服務組合,幫助您構建、維護和部署大數據應用程式。
這場線上研討會,將為各位深入淺出介紹AWS 雲端平台提供的各種大數據選項,包括現正流行的大數據框架,如Hadoop、Spark、NoSQL數據庫等,同時透過使用案例來瞭解最佳實踐方式。最後,您將了解如何應用這些工具服務,將大數據導入您的現實應用程式中。
ChinaNetCloud talk on Operations-as-a-Service at AWS China Summit 2015 in Shanghai. Covers OaaS cases, technology, and AWS.
Given December 17th, 2015, in Shanghai, in Chinese by Yinan Gu.
With hundreds of new and sometimes disparate tools, it’s hard to keep pace. Amazon Web Services provides a broad and fully integrated portfolio of cloud computing services to help you build, secure and deploy your big data applications.
Attend this webinar to get an overview of the different big data options available in the AWS Cloud – including popular big data frameworks such as Hadoop, Spark, NoSQL databases, and more. Learn about ideal use cases, cases to avoid, performance, interfaces, and more. Finally, learn how you can build valuable applications with a real-life example.
面對日新月異的大數據工具,有時候很難跟上這節奏。有鑑於此,Amazon Web Services提供了廣泛而完善的雲端運算服務組合,幫助您構建、維護和部署大數據應用程式。
這場線上研討會,將為各位深入淺出介紹AWS 雲端平台提供的各種大數據選項,包括現正流行的大數據框架,如Hadoop、Spark、NoSQL數據庫等,同時透過使用案例來瞭解最佳實踐方式。最後,您將了解如何應用這些工具服務,將大數據導入您的現實應用程式中。
ChinaNetCloud talk on Operations-as-a-Service at AWS China Summit 2015 in Shanghai. Covers OaaS cases, technology, and AWS.
Given December 17th, 2015, in Shanghai, in Chinese by Yinan Gu.
With hundreds of new and sometimes disparate tools, it’s hard to keep pace. Amazon Web Services provides a broad and fully integrated portfolio of cloud computing services to help you build, secure and deploy your big data applications.
Attend this webinar to get an overview of the different big data options available in the AWS Cloud – including popular big data frameworks such as Hadoop, Spark, NoSQL databases, and more. Learn about ideal use cases, cases to avoid, performance, interfaces, and more. Finally, learn how you can build valuable applications with a real-life example.
Key Points:
AWS Security Overview:
AWS prioritizes security as fundamental, providing robust infrastructure and services.
Trusted by international organizations, including the U.S. Department of Defense, GE, and pharmaceutical companies like AstraZeneca.
Shared Responsibility Model:
AWS follows the Share Responsibility Model, where AWS manages security of the cloud infrastructure, while customers are responsible for security in the cloud.
Responsibilities vary depending on the service used, with AWS handling foundational security.
Security Services:
IAM (Identity and Access Management) for controlling user access and permissions.
Detection and monitoring tools like CloudTrail, CloudWatch, GuardDuty, and Inspector for threat detection and prevention.
Data protection through encryption using services like KMS (Key Management Service) and ACM (Certificate Manager).
Infrastructure Protection:
DDoS protection with Shield Standard and advanced features with Shield Advanced.
Network controls using Security Groups and NACLs (Network Access Control Lists).
WAF (Web Application Firewall) for protecting against Layer 7 attacks.
Additional Security Services:
Trusted Advisor for cost-effectiveness, performance, and security recommendations.
AWS Detective for in-depth investigation of security events.
Compliance reports for various standards (SOC, PCI DSS, ISO, GDPR) to ensure regulatory adherence.
AWS Contributions to Community:
AWS provides a secure and reliable cloud computing environment, contributing to the overall cybersecurity landscape.
Shared best practices and security models that empower organizations to enhance their security posture.
Continuous innovation and updates in security services to address evolving threats, benefiting the broader community.
1. Amazon FinSpace Overview
2. FSI Problem to be solved
3. FinSpace Users and Groups
4. FinSpace Data Organization
5. FinSpace Hands-on
6. FinSpace Pricing
7. FinSpace Supported Regions
1. The three service models of cloud computing
2. Conversational AI and Chatbots: Amazon Lex
3. What is the function of Chabot
4. Hands-on Lab: Build your own chatbot
5. Deploy to Facebook Messenger
AWS_Educate_Ambassador_Day_TAIWAN_Track_B - Build a Telegram Chatbot using AW...土撥 JIE
1. Introduction of Chatbot
2. The relationship of API and HTTP
3. Amazon API Gateway
4. AWS Lambda
5. The concept of Serverless
6. Build a Telegram Chatbot using AWS Serverless Services
20. $ scp -i <PEM file directory> <FILE to transfer> <user>@<host
IP>:<DIRECTORY to save file>
Example:
scp -i aws-cloud-computing-fintech.pem text.txt ec2-
user@34.228.116.159:~
SCP in Local
24. • Amazon EC2 with Load Balancer / Auto Scaling / Elastic IP
• Amazon EC2 Windows Interface
• Amazon EC2 with different programming language
• Amazon EC2 running Cron Jobs on Linux
• Manage user accounts on your Amazon Linux Instance
• Launch an instance using Image
其它學習資源…
25. 作業 2: Build a Website using Amazon EC2 with LAMP
截止日期: 2021-03-29 上課前
評分標準:
• Web Server 4%
• Database
Server 4%
• Description 2%
說明:
在完成第 2 堂雲端服務課程後,藉由 Linux 2 虛
擬機完成安裝,並成功啟動網頁伺服器與資料庫
伺服器的功能。
*** 別忘了過程中說明與解釋您的操作步驟。