企业数据仓库 英语是什么意思 - 英语翻译

• enterprise data warehouse
• enterprise data warehouses

在 中文 中使用 企业数据仓库 的示例及其翻译为 英语

非易失性：存储在企业数据仓库中的信息不会改变。
Non-volatile: Information stored in the enterprise data warehouse does not change.

企业数据仓库.
Enterprise Data Warehouses.

企业数据仓库.
The Enterprise Data Warehouse.

Hdfs企业数据仓库.
HDFS Enterprise Data Warehouses.

Hadoop仍未成长为企业数据仓库标准.
Hadoop is not yet the standard for enterprise data warehouses.

企业正逐步由昂贵的大型机与企业数据仓库平台转向Hadoop多核心服务器。
Organizations are slowly shifting from expensive mainframe and enterprise data warehouse platforms to Hadoop-based multi-core servers.

BigQuery是Google推出的可扩展性强、成本低廉的无服务器企业数据仓库，可让您的所有数据分析人员更加高效地工作。
BigQuery is Google's serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive.

支持小型数据市场到大型企业数据仓库，同时通过加强数据压缩降低了存储需求。
It supports small data marts to large enterprise data warehouses while reducing storage needs with enhanced data compression.

廉价的数据仓库替代方案：数据集市可以作为开发企业数据仓库的廉价替代方案，所需的数据集更小。
Inexpensive data warehouse alternative- Data marts can be an inexpensive alternative to developing an enterprise data warehouse, where required data sets are smaller.

数据仓库，也称为企业数据仓库(EDW)，是用于分析的高度并行的SQL或NoSQL数据库。
Data warehouses, also called enterprise data warehouses(EDW), are highly parallel SQL or NoSQL databases designed for analysis.

企业数据仓库可以在传统的大型机上实现，如UNIX超级服务器或并行结构平台。
An enterprise data warehouse may be accomplished on traditional mainframes, UNIX super servers, or parallel architecture platforms.

现今企业数据仓库和关系型数据库擅长处理结构化数据，并且可以存储大量的数据。
Today's enterprise data warehouses and relational databases are good at processing structured data and can store large amounts of data..

企业数据仓库可以在传统的大型机上实现，如UNIX超级服务器或并行结构平台。
An enterprise data warehouse may be implemented on traditional mainframes, computer superservers, or parallel architecture platforms.

此外，Attunity还提供AttunityCompose，一种数据仓库自动化软件，用于设计，生成和填充企业数据仓库和数据集市；.
In addition, it offers Attunity Compose, a data warehouse automation software to design, generate, and populate enterprise data warehouses and data marts;

企业正逐步由昂贵的大型机与企业数据仓库平台转向Hadoop多核心服务器。
Companies are moving from expensive mainframe and enterprise data warehouse platforms into Hadoop based multi-core servers.

BigQuery是一种企业数据仓库，它通过使用Google基础架构的强大处理能力实现超快速SQL查询，从而解决此问题。
BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure.

企业数据仓库通常是由事务系统中封装的数据提供的，其中只有最近的数据是必需的。
The enterprise data warehouse is usually fed with encapsulated data from a transactional system, where only recent data is essential.

必须注意的是，尽管企业数据仓库不再作为一个单独的组件，但仍然是很重要的一部分。
It is important to note that while the Enterprise Data Warehouse is no longer the sole component, it is a very important part.

这使得企业能够继续使用其当前的BI/分析工具与企业数据仓库生态系统。
This allows companies to continue using their current BI/analytics tools with their enterprise data warehouse ecosystem.

这可以节省企业数据仓库的空间，同时在数据报告中提供更有意义的信息。
This saves space in the enterprise data warehouse while providing more meaningful information in data reporting.

发展企业数据仓库也提供了将位置标识码纳入到商业系统和应用的重要机会。
The development of an enterprise data warehouse also provides a key opportunity to incorporate location identifiers into business systems and applications.

要理解为什么数据湖已成为流行的这种方法与企业数据仓库的对比是很有帮助的(EDW)。
To understand why data lakes have become popular it's helpful to contrast this approach with the enterprise data warehouse(EDW).

操作系统-这层包含数据模型，企业数据仓库，技术平台等。
Operational Systems- This layer contains the data models, enterprise data repository, technological platforms etc.

由Snowflake等公司定义的第二代云数据仓库已经永远改变了企业数据仓库的经济性。
The second-generation cloud data-warehouses, a generation defined by the likes of Snowflake, have changed the economics of enterprise data warehouses forever.

由Snowflake等公司定义的第二代云数据仓库已经永远改变了企业数据仓库的经济性。
These cloud data warehouses, a generation defined by Snowflake and similar services, has changed the economics of enterprise data warehouses forever.

的企业数据仓库.
The Enterprise Data Warehouse.

传统的企业数据仓库(EDW)已不再可行。
Traditional enterprise data warehouses(EDWs) are no longer viable.

BigQuery是无服务器，完全托管和低成本的企业数据仓库。
BigQuery is serverless, fully managed and low-cost enterprise data warehouse.

他们的BI和分析应用的核心环境驻留一个传统的企业数据仓库。
At the heart of their BI and Analytics environment resides a traditional enterprise data warehouse.

包含性能指标的用户体验数据托管在GoogleBigQuery上，后者是一个企业数据仓库。
The user experience data which includes performance metrics are hosted on Google BigQuery, which is an enterprise data warehouse.