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Heading towards big data building a better data warehouse for more data, more speed, and more users

机译:走向大数据,构建更好的数据仓库以获取更多数据,更快速度和更多用户

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As a new company, GLOBALFOUNDRIES is aggressively agile and looking at ways to not just mimic existing semiconductor manufacturing data management but to leverage new technologies and advances in data management without sacrificing performance or scalability. Being a global technology company that relies on the understanding of data, it is important to centralize the visibility and control of this information, bringing it to the engineers and customers as they need it. Currently, the factories are employing the best practices and data architectures combined with business intelligence analysis and reporting tools. However, the expected growth in data over the next several years and the need to deliver more complex data integration for analysis will easily stress the traditional tools beyond the limits of the traditional data infrastructure. The manufacturing systems vendors need to offer new solutions based on Big Data concepts to reach the new level of information processing that work well with other vendor offerings. In this paper, we will show where we are and where we are heading to manage the increasing needs for handling larger amounts of data with faster as well as secure access for more users.
机译:作为一家新公司,GLOBALFOUNDRIES积极进取,并在寻求不仅模仿现有半导体制造数据管理,而且在不牺牲性能或可扩展性的前提下,利用新技术和数据管理进步的方法。作为一家依靠数据理解的全球技术公司,重要的是集中化这些信息的可见性和控制力,并根据需要将其提供给工程师和客户。当前,工厂正在采用最佳实践和数据架构以及商业智能分析和报告工具。但是,未来几年数据的预期增长以及需要提供更复杂的数据集成以进行分析的需求,很容易使传统工具超出传统数据基础架构的限制。制造系统供应商需要提供基于大数据概念的新解决方案,以达到与其他供应商产品良好配合的信息处理的新水平。在本文中,我们将展示我们的现状和发展方向,以管理越来越多的需求,以更快的速度处理安全的数据并为更多用户提供安全访问。

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