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Building Blocks to Enable Data as a Service (DaaS) Within a Global Enterprise

机译:构建块,以使数据成为全局企业中的服务(DAAS)

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摘要

Data as a service (DaaS), an operational model for decentralized data management and governance, removes the burden of data management from data consumers. It is especially popular in companies that monetize their data or want to build an internal marketplace to encourage data sharing. But DaaS can also contribute to more proximate goals, such as improved data access, improved user experience, and increased data security. This experience report proposes building blocks for new DaaS models, which can be provided to various consumer groups within the enterprise to manage in a distributed fashion, without creating redundant data marts. It leverages modern and emerging technologies such as big data, cloud computing, and distributed query processing engines. These guidelines can be useful for practitioners who wish to systematically improve the quality of models, services, and software applications that rely on accurate and timely data.
机译:作为服务(DAAS)的数据,分散数据管理和治理的操作模型,消除了数据管理的数据管理的负担。在将其数据中批准或想要建立内部市场以鼓励数据共享的公司特别受欢迎。但DAA也可以为更近的目标提供贡献,例如改进的数据访问,改进的用户体验和增加的数据安全性。此经验报告提出了新DAAS模型的构建块,可以为企业内的各种消费类别提供,以便以分布式方式管理,而不会创建冗余数据集市。它利用了现代和新兴技术,如大数据,云计算和分布式查询处理引擎。这些准则对于希望系统地提高依赖准确和及时数据的模型,服务和软件应用程序质量的从业者可以有用。

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