Snowflake：2026构建可互操作的湖仓一体架构：面向AI领导者的数据战略研究报告（英文版）（30页）.pdf

1、BUILDING THE INTEROPERABLE LAKEHOUSEData strategies for AI leadersTable of ContentsForeword:The AI Moment Demands a Connected Architecture .3The Data Architecture Dilemma:Why Enterprises Are Stuck(or Think They Are).4Rethinking Architecture from Data Silos to the Open,Interoperable Lakehouse .6Conne

2、cting Data Without Compromise .10Streamlining for Scale with Declarative Data Engineering .13Governing with Security and Trust for the AI Era .17Architectural Patterns for the Interoperable Lakehouse .20The Business Case for the Enterprise Lakehouse .25Conclusion:The Power of the Architect .29Table

3、of Contents|2 BUILDING THE INTEROPERABLE LAKEHOUSEFOREWORDThe AI Moment Demands a Connected ArchitectureBusinesses today are confronting the AI imperative,the pressure to find measurable value and efficiencies from using AI.They are looking beyond experimentation and onto production,ultimately findi

4、ng that successful AI doesnt really start with models it starts with data.That is precisely why the key to meeting this moment with confidence has everything to do with the readiness of your data foundation.Making data AI-ready,however,entails a number of processes and considerations.It involves sta

5、ndardizing metadata,lineage tracking and quality checks across all data sources,all in an effort to make data consistently clean,curated,labeled,accessible and governed across systems.But in practice,many businesses end up with a fragmented and duplicative data estate that spans systems,clouds and r

6、egions,making it difficult to scale and near-impossible to govern.Its not unusual to see companies utilize different data warehouses,data lakes and engines,as each team or business unit builds their architecture in isolation to be standardized on their preferred stacks.This approach forces central d