现代数据栈是指组成云原生数据平台的一组技术，通常用于降低运行传统数据平台的复杂性，组件通常包括云数据仓库、数据集成服务、ELT 数据转换工具、BI 层和反向 ETL 工具。现代数据栈在海外方兴未艾，尤其是在美国，有很多创业公司和投资机构在这个领域布局。国内也有一些企业开始尝试使用现代数据栈，但还存在一些差距和挑战，比如云上数据安全合规、云成本控制、云上数据治理等。其应用挑战或门槛主要在于技术选型和集成的难度，以及应对数据分析的速度、质量和价值等方面的更高要求。在未来，现代数据栈将向着多模数据支持、模块化、协作优化、智能化等方向演进。
为推动国内现代数据栈技术普及与发展，DataFun将于10月28日9:00-17:00举办DataFunSummit2023：现代数据栈技术峰会，设立海量数据采集与集成论坛、数据仓库论坛、数据治理与资产管理论坛、大规模数据查询与分析论坛、DataOps 论坛、BI 智能分析论坛，欢迎广大从业者参与交流。
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