AWS Workshop
  • About
  • Immersion Day
    • 2025.05 - Generative AI
    • 2025.03 - Generative AI
    • 2025.02 - ECS
    • 2024.09 - EKS
    • 2024.07 - Security
    • 2024.05 - ECS
    • 2024.01 - Generative AI
    • 2023.10 - Security
    • 2023.08 - MSK
    • 2023.06 - DevOps
    • 2023.04 - AI/ML
    • 2023.02 - EKS
    • 2023.01 - General
    • 2022.12 - 광주소프트웨어마이스터고등학교
    • 2022.12 - Data Analytics
      • Getting started
        • Create a Kinesis Data Stream
      • Produce data to Kinesis Data Streams
        • Cofigure AWS Cloud 9 IDE
        • Using the Amazon SDK with Kinesis
          • Working with the SDK
        • Using the Kinesis Producer Library
          • A Simple Producer
          • Error Analysis and Resiliency
          • CloudWatch Metrics from the Kinesis Producer Library
      • Lambda with Kinesis Data Firehose
        • Overview
        • Create Glue Table
        • Create Kinesis Data Firehose Delivery Stream
        • Stream the data and validate output
      • Clean, Aggregate, and Enrich Events with Kinesis Data Analytics
        • Setup Kinesis Data Analytics Studio
        • Stream the data and validate output
    • 2022.11 - General
    • 2022.10 - EKS
    • 2022.09 - General
    • 2022.08 - 큐피스트
    • 2022.08 - Security
    • 2022.07 - General
    • 2022.06 - Serverless
    • 2022.05 - EKS
    • 2022.05 - 백패커
    • 2022.05 - General
    • 2022.04 - DevOps
    • 2022.04 - Data Analytics
      • Getting started
        • Create a Kinesis Data Stream
      • Produce data to Kinesis Data Streams
        • Cofigure AWS Cloud 9 IDE
        • Using the Amazon SDK with Kinesis
          • Working with the SDK
        • Using the Kinesis Producer Library
          • A Simple Producer
          • Error Analysis and Resiliency
          • CloudWatch Metrics from the Kinesis Producer Library
      • Lambda with Kinesis Data Firehose
        • Overview
        • Create Glue Table
        • Create Kinesis Data Firehose Delivery Stream
        • Stream the data and validate output
      • Clean, Aggregate, and Enrich Events with Kinesis Data Analytics
        • Setup Kinesis Data Analytics Studio
        • Stream the data and validate output
    • 2022.03 - General
    • 2022.02 - AI/ML
    • 2022.01 - General
    • 2021.12 - Container
    • 2021.11 - General
    • 2021.10 - General
  • Seminar
    • 2024.07 - 동국대 특강
    • 2024.06 - Generative AI
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  • 교육 자료

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  1. Immersion Day

2022.07 - General

Previous2022.08 - SecurityNext2022.06 - Serverless

Last updated 2 years ago

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Agenda

시간

내용

13:00 - 13:10

교육 소개 및 환경 설정

13:10 - 13:40

RDS 이론

13:50 - 14:50

14:50 - 15:20

S3 이론

15:30 - 16:50

16:50 - 17:00

Wrap up 및 Q&A

교육 자료

RDS 실습
S3 실습