To compete in today’s environment, businesses must address ever-expanding data volumes and the increasing need to quickly analyze data regardless of its quantity. As the business need to answer critical questions grows, many IT organizations are facing tightening budgets and an overly complex expansion of data silos. As data sprawl escalates, organizations accumulate more and larger databases, typically on a wide variety of database platforms and gear, making provisioning and data management even more difficult imperatives. To achieve scalability, speed, and cost effective- ness—as well as speed of deployment, governance, and manageability—companies are looking to new architectures and innovative solutions.

当前竞争环境下，商业发展必须适应不断扩大的数据量和不断提高的数据分析速度要求，无论其数量处于何种水平。随着响应关键问题的业务需求的增长，许多IT机构正面临预算紧张和过度复杂的数据库扩展问题。数据扩展日益发展的同时，IT机构在各种数据库平台和设备上积累起数量更多、规模更大的数据库，提高了配置和数据管理的难度。为实现可扩展性、速度和成本效益、配置速度、操控和可管理性，各公司纷纷寻求新的架构和创新解决方案广州翻译公司。

The Dell and Greenplum Data Cloud Solution weaves Greenplum database software and Dell hardware together into a flexible, high-performance, scalable data fabric. It allows business analysts to provision their own marts and warehouses by themselves using a powerful web interface. It also provides data collaboration features that encourage analysts to work together, maximizing the value of the available data. By freeing analysts to self-serve, the Data Cloud allows IT personnel to focus on preparing machines to deploy into the cloud. As more and more of an organization’s data is moved into the Data Cloud, and as data volumes change over time, the Data Cloud’s provisioning features allow for easy, elastic expansion and contraction of the cloud at any time. The parallelism inherent in the underlying database and the robust resources provided by the cluster of machines ensure performance that far exceeds traditional approaches to business intelligence and analytics.

戴尔和Greenplum数据云解决方案融合了Greenplum数据库软件和戴尔硬件技术，实现灵活性、高性能、可扩展的数据解决方案。通过上述方案，商业分析师可使用强大的网络接口对市场和仓储情况进行独立分析。该方案还具备数据协作功能，鼓励分析师协同合作，充分发挥可用数据的价值。通过实现分析师的自助操作，数据云技术使IT人员能够专注于将数据云融入硬件设备。随着越来越多的机构数据传输至数据云和数据量的不断变化，数据云的配置功能可随时轻松灵活地实现数据云的扩展与收缩。基本数据库的内在并行性和设备集群提供的海量资源可确保其性能远高于商业智能化分析的传统方法。

The Data Cloud Solution from Dell and Greenplum leverages an innovative architecture that neither proprietary hard- ware-based solutions nor general-purpose databases can match. The scalability, speed, and flexibility of Greenplum’s Massively Parallel Processing (MPP) database architecture are a perfect match for the storage density, power, and ef- ficiency of Dell’s C-Series servers. Greenplum Database’s shared-nothing MPP architecture distributes data across a cluster of C-Series servers, effectively locating the data as close as possible to the actual compute power. The database’s parallel query optimizer divides the work for any given query, load, or other database operation among all of the individual machines. Because the data resides right next to the abundant processing power of the C-Series servers, and every server in the cluster works on every query and load operation, the disk I/O bottleneck that plagues many business intelligence implementations is eliminated. Performance skyrockets to levels that are typically between 10 and 100 times faster than that of traditional database platforms.