AWS Workshop
  • About
  • Immersion Day
    • 2025.06 - EKS
    • 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
Powered by GitBook
On this page
  • 교육 목표
  • Agenda
  • 교육 자료

Was this helpful?

  1. Immersion Day

2022.12 - Data Analytics

Previous2022.12 - 광주소프트웨어마이스터고등학교NextGetting started

Last updated 2 years ago

Was this helpful?

교육 목표

  • 실시간 데이터를 활용한 사용사례 소개

  • 실시간으로 빅데이터를 처리하는 방법에 대한 이해

  • AWS Kinesis로 실시간으로 유입되는 데이터 처리 및 분석 실습

Agenda

시간
내용

13:30 - 13:45

교육 소개 및 환경 설정

13:45 - 14:30

- Real-Time Analytics with Kinesis

14:30 - 15:30

- 실시간 스트리밍 데이터 수집

15:30 - 16:30

- 람다 함수로 데이터 변환

- S3에 데이터 적재 - Amazon Athena로 S3에 적재된 데이터 분석

16:30 - 17:30

- 실시간 스트리밍 데이터 분석 및 통계 - OpenSearch로 데이터 시각화

17:30 - 17:45

Wrap-up 및 Q&A

교육 자료

  • 원본 자료 -

https://catalog.us-east-1.prod.workshops.aws/workshops/2300137e-f2ac-4eb9-a4ac-3d25026b235f/en-US
Amazon Kinesis 이론
Kinesis Data Stream 실습
Kinesis Data Firehose 실습
Kinesis Data Analytics 실습