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Data and Analytics: Engineer services {Ans: Engineer Data in relational or big data design patterns Develop ETL Pipelines Implement low latency data streams and microservices}Data and Analytics Trends {Ans: Continuous Analytics Data fabric Beyond Visualization Data Products over Data Programs Data Transparency}Value add service areas: Data Management {Ans: Governance Frameworks Master & Meta Data Data Security and Quality}Data and Analytics Services {Ans: Strategy Integrate Engineering Analytics}Guiding Principles of Data Mesh {Ans: Decentralized domain ownership Data as a product Self service Data platform Federated computational governance}Value added services areas for Data and analytics {Ans: Enterprise Analytics Data Engineering Data Management Cloud Platforms}