20231102_AWS Ambassador Japan Meetup Event_TsutomuOkui

20231102に開催されたAWS Ambassador Japan Meetup Eventでの登壇資料です。（株式会社JSOL　奥井務）

Transcript

1. NTT DATA AWS Ambassadors Meetup 2023/11/02 Application Constructing with Serverless Architectures 〜AWS × Space Business〜 Cloud Technology & Innovation Department Enterprise Innovation Business Unit JSOL Corporation Tsutomu Okui
2. CONTENTS Self Introductions 01 Efforts in AWS × Space Business 02 2 My X Account Please Follow Me!!!
3. 1. Self Introductions Tsutomu Patrick Okui Ø Main Responsibility • Designing cloud architectures • Developing system solutions with AWS services • Consulting for customers among multiple industries Ø Space Project 3 ・Keynote speaker @SPACETIDE2023 ※Largest space related conf in Asia ・Special speaker @Japan IT week ※Largest IT conf in Japan (45,000 visited)
4. 1. Self Introductions Tsutomu Patrick Okui Ø Main Responsibility • Designing cloud architectures • Developing system solutions with AWS services • Consulting for customers among multiple industries Ø Space Project AWS × Space Business 4 ・Keynote speaker @SPACETIDE2023 ※Largest space related conf in Asia ・Special speaker @Japan IT week ※Largest IT conf in Japan (45,000 visited)
5. 2. Efforts in AWS × Space Business Considering/Providing the AWS-based data utilization platform 5 ① Intracompany utilization platform for space-related data • Bridge/connector functions to access each data of source services • Industry-specific model/aggregation functions Manufacturing Tourism marketing Distribution Prime industry ・・・・・ ② Space-related data sharing across supply chains • Data sharing related to the supply chain of the space industry • Analysis/visualization solutions combined with owned data Manufacturing Distribution Prime industry ・・・・・ Factory/plant management Crop yield forecast Sustainability report Disaster Supply-chain forecast Farm production management
6. 2. Efforts in AWS × Space Business 6 Data source Data collecting Data lake/DWH Data utilization Considering/Providing total support from space-related data We contribute for customer’s data utilization
7. 2. Efforts in AWS × Space Business 7 Space data SaaS Office system Considering/Providing total support from space-related data We contribute for customer’s data utilization ・・・・ Data source Data collecting Data lake/DWH Data utilization ・Amount of change in forecast resource ・CO2 balance
8. 2. Efforts in AWS × Space Business 8 Space data SaaS Office system Data source Data collecting Stream data Connector/Bridge Data lake/DWH Data catalog Data utilization Considering/Providing total support from space-related data We contribute for customer’s data utilization S3 EventBridge Step Functions Lambda ・・・・ SageMaker
9. 2. Efforts in AWS × Space Business 9 Space data SaaS Office system Data source Data collecting Stream data Connector/Bridge Data lake/DWH Data catalog Data utilization Considering/Providing total support from space-related data We contribute for customer’s data utilization S3 EventBridge Step Functions Lambda ・・・・ SageMaker Data Analysis by using ML services Covert the data by Serverless architectures
10. 2. Efforts in AWS × Space Business 10 Space data SaaS Office system Data source Data collecting Stream data Connector/Bridge Data lake/DWH Data lake Row data … DWH Division A schemes … Data mart Division-specific data model Data catalog Data utilization Division B schemes Analysis schemes Considering/Providing total support from space-related data We contribute for customer’s data utilization S3 EventBridge Step Functions Lambda ・・・・ SageMaker
11. 2. Efforts in AWS × Space Business 11 Space data SaaS Office system Data source Data collecting Stream data Connector/Bridge Data lake/DWH Data lake Row data … DWH Division A schemes … Data mart Division-specific data model Data catalog Data utilization BI Industry/Division/ Purpose Dashboard/ Report Templates User Division B schemes Analysis schemes Considering/Providing total support from space-related data We contribute for customer’s data utilization S3 EventBridge Step Functions Lambda ・・・・ S3 QuickSight SageMaker
12. 2. Efforts in AWS × Space Business 12 Space data SaaS Office system Data source Data collecting Stream data Connector/Bridge Data lake/DWH Data lake Row data … DWH Division A schemes … Data mart Division-specific data model Data catalog Data utilization BI Industry/Division/ Purpose Dashboard/ Report Templates User Division B schemes Analysis schemes Considering/Providing total support from space-related data We contribute for customer’s data utilization S3 EventBridge Step Functions Lambda ・・・・ S3 QuickSight SageMaker Report the summary of data by BI tools
13. 2. Efforts in AWS × Space Business 13 Space data SaaS Office system Data source Data collecting Stream data Connector/Bridge Data lake/DWH Data lake Row data … DWH Division A schemes … Data mart Division-specific data model Data catalog Data utilization BI Industry/Division/ Purpose Dashboard/ Report Templates Data Analysis/ML service AI/ML analysis template by use case User Analyst Our solution coverage Division B schemes Analysis schemes Considering/Providing total support from space-related data We contribute for customer’s data utilization S3 EventBridge Step Functions Lambda ・・・・ S3 QuickSight SageMaker SageMaker
14. 2. Efforts in AWS × Space Business 14 Space data SaaS Office system Data source Data collecting Stream data Connector/Bridge Data lake/DWH Data lake Row data … DWH Division A schemes … Data mart Division-specific data model Data catalog Data utilization BI Industry/Division/ Purpose Dashboard/ Report Templates Data Analysis/ML service AI/ML analysis template by use case User Analyst Our solution coverage Division B schemes Analysis schemes Considering/Providing total support from space-related data We contribute for customer’s data utilization S3 EventBridge Step Functions Lambda ・・・・ S3 QuickSight SageMaker SageMaker Analyze the data By analysis template
15. Summary
16. Summary ・AWS × Space = infinity
17. Summary ・AWS × Space = infinity ・See you soon in Las Vegas !!!