在國防部編織數據網格.pdf

1、Weaving the Data Mesh in the Department of DefenseDatabricks20231_DAIS_Title_SlideCDAO Mandate“The CDAO.will lead and oversee DoDs strategy development and policy formulation for data,analytics,and AI;work to break down barriers to data and AI adoption within appropriate DoD institutional processes;

2、and create enabling digital infrastructure and services that support Components development and deployment of data,analytics,AI,and digital-enabled solutions.”-Deputy Secretary of Defense Kathleen Hicks,1 Feb 2022CDAO MandateCDAOs FY23 Big Plays1_DAIS_Title_SlideEstablishing the MeshData Mesh Princi

3、plesReference:https:/ Data Mesh provides a common core for data teams to perform their functions at scale across a highly diverse yet integrated organization,in which Data Domains support a federated data architecture while maintaining centralized governance and standardized operations.Establish Dat

4、a Product Quality Feedback LoopsAn Army data user,such as an analyst,tracks the deliveries from the supplier to the overseas locations.They query different stores for supply chain data to generate analytical reports and present to management for optimal decision making.Requires quality and trusted d

5、ata.Data Mesh Enables Analytics&AILeadership,Policy,and Enterprise capabilities required for quality data at scaleCURRENT STATEData SourcesUnstructured DataBusiness DataSensorsWarfighting DataDatabases(Commercial and DoD)PlatformsFUTURE STATEEnterprise Platforms withConnected sources and sensors mad

6、eInteroperable through Enterprise Capabilities andAugmented by Enterprise Services&Digital TalentFounded on Data Mesh principalsEnterprise Services&SupportDoDs Roadmap to Data Mesh requires Quality Data and:1.A community of empowered Data LeadersMaturing cross-Component data governance to promote sh

7、aringImplementing data stewardship at echelonEmpowering CDOs with resources and organizational alignment2.Policy to drive effective managementTechnical approaches to implement Data Strategy-(VAULTIS)Issuance updates to reduce new dark data sources-no new badGuidance after experimentation,shaped by e

8、nterprise data architects3.Select implementation of Enterprise CapabilitiesPromoting interoperability through enterprise servicesAccelerating agile development with common libraries and repositoriesEnabling practitioners and developers with modern collaboration tools1_DAIS_Title_SlideDoD Data Domain

9、s andData ProductsData DomainsDomain driven design defines a Data Domain as“a sphere of knowledge,influence,or activity.”Established organically to meet business and mission objectives.Aligned to business or mission organizations closest to the data.May align to the source of the data or its main co

10、nsumers.Curate and serve Data Products to meet the business and mission objectives.What is a Data Product?A Data Product is designed to meet the specific business and mission needs of user groups.These products are understandable,high-quality,secure,easy to access and made available to through a wel

11、l-defined interface.Logistics Data DomainShipments Data ProductAir CargoOcean CargoLand CargoSupply Data ProductMunitionsFuelMedicalFoodData LakesERPs/CRMsObject StoresSecure Data InterfaceDatabase/TablesDatabase/TablesBucketsRDBMS(Applications)Database/TablesDashboardsMission ApplicationsNotebooks/

12、AI ModelsCargoAgentsWarehouseManagerCOPCommandLeaderPersonnel Data DomainRecruiting Data ProductProfilesOnboardingPostingsRecruitingAnalystMeasure the Impacts of a Good Data Product RelevanceHigh-quality dataScalabilityPerformanceData products should be intuitive to understand,easy to access,and sec

13、ure.Insights provided should be relevant and allow users to make data-driven decisions rapidly.Data used must be accurate,reliable,known,trusted and up-to-date.Should be designed to scale easily with the increasing volume,variety,and velocity of data.Deliver fast and consistent performance,so users

14、can access insights quickly.UsabilityDiscoverabilityData is easy for users to find and interoperate across the data domains of the DoD1_DAIS_Title_SlideStrategic OutcomesData Mesh Architecture EstablishedCDAO provides strategic enterprise services to manage data ontology models,convey data quality m

15、etrics and share metadata through the federated data catalog.With these services,Data Domains within the DoD Data Mesh can streamline sharing Data Products on a scaled data architecture while maintaining centralized governance and standard operations.LegendOntologyData QualityFederated Data CatalogW

16、hat Does Success Look Like?Operational Strategic Decision Advantage and Situational AwarenessSelf-service InfrastructureAir/Space/IC SensorsAir PlatformsEdge and cloud enabled C2/Battle management systemsTactical Data Links&Comms NetworksAir Force/Space ForceArmyNavy/USMCService C2/Combat SystemsSer

17、vice C2/Combat SystemsService C2/Combat SystemsShared Data,Tools,and ApplicationsLand/Air/IC SensorsLand/Air PlatformsEdge and cloud enabled C2/Battle management systemsTactical Data Links&Comms NetworksMaritime PlatformsEdge and cloud enabled C2/Battle management systemsTactical Data Links&Comms NetworksAir/Maritime/ICSensorsOFFICE OF THE SECRETARY OF DEFENSECHIEF DIGITAL AND AI OFFICE