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1、Unlocking the Power of Data with a Semantic Layer,Kieran ODriscollDirector of Business Development,2,3,How organizations used to do Business Intelligence,Multiple data platforms drive high operational costs.,Disparate tools slow down cross-team productivity.,Inconsistent KPIs reduce trust in the dat
2、a.,Unnecessary data movement adds latency.,INCONSISTENCY,INEFFICIENCY,LACK OF TRUST,Marketing,Finance,Sales,Data Science,SEMANTIC LAYER,CLOUD DATA WAREHOUSE,SEMANTIC LAYER,SEMANTIC LAYER,SEMANTIC LAYER,CLOUD DATA LAKE,OLAP CUBE,IMPORT,EXTRACT,COPY/PASTE,How organizations used to do Business Intellig
3、ence,4,Sales,Marketing,Finance,Data Team,“Traditional”Analytics Organization,Sales,Marketing,Finance,Data Team,“Data Mesh”Analytics Organization,5,The data mesh is an approach to building a decentralized analytics architecture where business domains are responsible for their data giving ownership to
4、 the group thats closest to and best understands the data.Four Key Principles:Domain-Oriented Decentralized Data OwnershipData as a ProductSelf-Serve Data Infrastructure as a PlatformFederated Computational Governance,Data Mesh,6,Interoperability and IntegrationData Silos,InconsistencyGovernance and
5、 StandardizationBalancing actTechnical ComplexityShifting existing architectureCultural and Organizational ChangesBuy in,upskilling,Data Mesh-Challenges,7,Simplify your Data Mesh Journey,8,Open,collaborative and performant platform for all workloads.,Consistent a compliant view of data across tools.
6、,Teams make data driven decisions at scale.,Single place to create,share and govern data assets.,CONSISTENCY,ACCURACY,TRUST,Marketing,Finance,Sales,Data Science,UNIVERSAL SEMANTIC LAYER,ENTERPRISE DATA PLATFORM,How does a Semantic Layer fit with“Data Mesh”/Data as a Product?,9,AtScale:The Semantic M