大数据项目 英语是什么意思 - 英语翻译

• big data project
• big data projects
• big data initiatives

在 中文 中使用 大数据项目 的示例及其翻译为 英语

的机构表示，他们目前的架构无法支持大数据项目。
And 57 percent said their current enterprise architecture cannot support big data initiatives.

典型大数据项目案例.
A typical Big Data project.

Hadoop就是开源大数据项目的一个很好的例子。
Hadoop is a high profile example of an open source Big Data project.

个“大数据项目.
A“ Big Data Project.

启动大数据项目之前需要问的5个问题.
Questions to ask before starting a Big Data project.

大数据项目不应该由IT部门孤立完成。
A Big Data project should not be done in isolation by the IT department.

下一篇：启动大数据项目之前需要问的5个问题.
Questions to ask before starting a Big Data project.

您是否具备成为大数据项目经理的专业知识？?
Do You Have the Expertise to be a Big Data Project Manager?

最初由IBM开发，SystemML现在是一个Apache大数据项目。
First developed by IBM, SystemML is now an Apache big data project.

大数据项目为什么?
Why BIG DATA Project?

MongoDB已成为各行业大数据项目的首选数据库。
MongoDB has become the database of choice for big data projects across industries.

所有大数据项目都以可行的用例开始。
Any Big Information project starts with specific use-cases.

业务人员应该深入参与大数据项目的任何阶段。
Business people must be totally involved in every stage of a big data project.

如何避免大数据项目的失败呢?
What contributes to the failure of big data projects?

云计算供应商将在进行大数据项目之前接受审核。
The Cloud vendors will be vetted before they are commissioned for Big Data projects.

业务人员应该深入参与大数据项目的任何阶段。
Business people should be deeply involved in any of the stages of big data project.

大数据项目为何失败?
Why are projects for big data failing?

这些问题将直接影响2015年大数据项目的投资范围。
These questions will direct the investment and scope of Big Data projects in 2015.

的公司采用大数据项目.
Eighty-three percent of companies have started a Big Data program.

组织通常设计大数据项目以确定哪些问题要问，而不是跟踪具体的，先前已知的需求。
Organizations typically design big data projects to determine which questions to ask, rather than to address specific, previously known requirements.

组织通常设计大数据项目以确定哪些问题要问，而不是跟踪具体的，先前已知的需求。
Big data projects are typically built to determine which questions to ask, rather than to address specific, previously known requirements.

多年来，企业一直在投资大数据项目，整合多个来源的信息，帮助企业更快、更准确地做出决策。
For years, enterprises have invested in big data initiatives, combining information from multiple sources to help their business make quicker, more accurate decisions.

换句话说，大数据项目不仅仅是收集数据，而是能够做一些事情。
In other words, a Big Data project is not just about collecting data, but being able to do something with it.

根据Garner最近的报告，60%的大数据项目将会无法通过试点和实验，并且最终被抛弃。
According to one Gartner forecast,“60 percent of big data projects will fail to go beyond piloting and experimentation, and will be abandoned.”.

Rainstor指出，“企业大数据项目将从沙盒中走出来，清晰地定义一系列商业和科技要求”。
Rainstor says"Enterprise Big Data initiatives will move out of the sandbox and define a clear set of business and technology requirements.".

根据Garner最近的报告，60%的大数据项目将会无法通过试点和实验，并且最终被抛弃。
Gartner predicts that 60% of big data projects will fail to go beyond piloting and experimentation and will be abandoned.

最后一点也很重要，从2015年起，我就在大数据项目中担任高级开发员，大量使用了Scala编程语言。
Last but not least, since 2015, I worked as a senior developer in a Big Data project that uses the Scala programming language extensively.

的受访者说，他们目前的架构无法支持大数据项目。
And 57 percent said their current enterprise architecture cannot support big data initiatives.

大数据项目需要大规模、经济实惠、高度可用且安全的存储池（通常称为“数据湖”）。
Big data projects demand large-scale, affordable, highly available, and secure storage pools that are commonly referred to as data lakes.