Examples of using 的数据仓库 in Chinese and their translations into English
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译者注：作者在本文详细介绍了五个技巧来管理你的MySQL数据仓库，从而确保重要的业务数据得到充分的保护。
Incorporate these five tips into managing your MySQL data warehouse and you will ensure that important business 然而，从这些多维模型的数据仓库中提取复杂深度信息的能力是非常有限的。
However, extracting sophisticated insights from these data warehouses of multidimensional models is very limited.成本当然是一个因素，因为Hadoop的部署成本比传统的数据仓库要低10到100倍。
Costs were certainly a factor, as Hadoop can be 10 to 100 times less expensive to deploy than conventional data warehousing.AmazonRedshift允许AWS客户构建PB级的数据仓库，使来自各种内部和外部源的数据得以整合。
Amazon Redshift allows AWS customers to build petabyte-scale data warehouses that unify 构建专用于分析的数据仓库时，工程师会优先考虑能够解答大多数问题的核心业务指标。
When an engineer builds a data warehouse specifically for analysis, they prioritize the core business metrics that answer the majority of questions.Gartner并没有忽视这个事实：在大多数企业组织，传统的数据仓库使用场合仍是分析工具的基础。
Gartner doesn't overlook the fact that traditional data warehousing use cases remain the basis for analytics in a majority of organizations.Teradata的动态数据仓库(ADW)一直为客户提供90%到100%的利用率。
Teradata's Active Data Warehouses(ADW) have been providing customers with 90 to 100 percent utilization for years.一个有效的现代数据仓库将支持多级、基于角色的访问控制(RBAC)。
An effective, modern data warehouse will support multilevel, role-based access control(RBAC).在加入Snapdeal之前，他曾作为中央数据库团队的一员，负责管理ReckittBenckiser（RB）全球业务应用的数据仓库。
Prior to Snapdeal, he was part of central database team, managing the data warehouses for global business applications of Reckitt Benckiser(RB).虽然这花费了一段时间来实现，但用户表示Microsoft基于云的数据仓库的发布还是很及时的。
While it has taken a while to achieve, viewers said this release of a Microsoft cloud-based data warehouse is still timely.SAPBW/4HANA：更简单、更快速、更灵活的数据仓库.
We all know what SAP BW/4HANA brings to the table- a simpler, faster, and more flexible data warehouse.Hive1.2也带来了改进的SQL的兼容性，使组织利用它更容易的把从现有的数据仓库通过ETL工具进行转移。
Hive 1.2 also brought improved SQL compliance, making it easier for organizations to use it to off-load ETL jobs from their existing data warehouses.在过去的几年中，许多公司已花费数百万美元，建立企业范围的数据仓库。
In the last several years, many firms have spent millions of dollars in building enterprise wide data warehouses.第三部分涉及数据治理、数据可视化、信息生命周期管理、数据科学家，以及适合大数据的数据仓库。
Part 3 deals with MaorKleider**是快速、简单、经济高效的数据仓库AmazonRedshift的高级产品经理。
Maor Kleider is a Senior Product Manager for Amazon Redshift, a fast, simple and cost-effective data warehouse.和流行的商业数据仓库不同，Dynamo将数据一致性和reconciliation逻辑开放给了开发者。
Unlike popular commercial data stores, Dynamo exposes 几乎每一家公司的数据仓库是由结构化的信息构成。
And in nearly every corporation, the data warehouse is made up exclusively of structured information.立即从为MicrosoftDynamics构建的数据仓库着手，并使用JetAnalytics将生成自定义项的速度提高80%。
Start instantly with a data warehouse made for Microsoft Dynamics and build customizations 80% faster 您可以把EssentialPIM作为您的数据仓库，但您绝对不会在信息的海洋中淹没。
EssentialPIM can become your data silo but will never let you drown in information.相反，未来的数据仓库将不得不与许多不同的数据源合作。
Instead, the data warehouse of 
