数据网最佳实践.pptx

1、Data Mesh Best Practices,About me,20+years of data and engineering experienceArchitect,builder,speakerFocused on the maturation,and modernization of dataAWS Data HeroFounder of Data FuturesFather of 4(3 boys,1 girl).always building:welding/fabrication/machining/wiring/engineering/programming,Why do

2、I care about Data Mesh,Im a software engineer first,but my superpower is data engineeringMaturing of data engineering system architecture and culture,Data Maturity,Adopting Data Mesh principles can actually bring Data Engineering to similar Maturity as other well engineered software products.Event B

3、ased Microservice,be better to dataAND data,be better,Data Mesh,Composable data architecture of data products with decentralized ownership and development.,https:/,Crash course on data mesh4 principles,Domain Driven Ownership,Organization and Culture-decentralized ownership Federated Development,Dat

4、a Organization Maturity Levels,Central-central data team,middle man,a difficult/near impossible jobEmbedded-centrally managed engineers align/embed with product/outcome teamsFederated-central teams develop tools,product/outcome teams execute,2.Data as a Product,Apply“Data Product Think”.Data is not

5、an afterthought.Data is not what comes out of the tailpipe.Data is a non-functional/functional requirement for all products REQUIRES long term thinking and organizational alignment,Data Product Think,What are my analytic requirements?How will i measure the success of this feature/product?What are th

6、e requirements of my data,both within my domain/team,and that of my customers?How can I robustly share my data model as fully as possible?,Organizational Alignment,Reward system,based on MetricsExisting precedence to leveragetech debtinfrastructuredevex,3.Self Service Data Platform,Data should be:ea