What is the translation of " 数据湖是 " in English?

• data lake is

Examples of using 数据湖是 in Chinese and their translations into English

数据湖是一种大型数据存储库和处理引擎。
A data lake is a large storage repository and processing engine.

狄克逊说：“有人问数据湖是什么时，我告诉他们，它就是你以前在磁带上拥有的东西。
When people ask what a data lake is, I tell them it's what you used to have on tape.

数据湖是物联网实施的王冠之宝，这是所有结果、分析和商业价值所在。
The data lake is crown jewel of an IoT implementation; this is where all the results, analytics and business value go.

数据湖是一个概念，而Hadoop是用于实现这个概念的技术。
A data lake is a concept, and Hadoop is a technology to implement the concept.

数据湖是以其自然格式存储的数据的系统或存储库，通常是对象blob或文件。
A data lake is a system or repository of data stored in its natural format, usually object blobs or files.

数据湖是个庞大的数据存储库，从不同来源收集数据，并以自然状态存储起来。
Data Lakes is a huge data repositories that collect data from different sources and is stored in its natural state.

元数据一再出现，它是确保数据湖是可行战略而不是数据墓地的关键。
Metadata repeatedly emerged as the key to ensuring data lakes are a viable strategy rather than a data graveyard.

事实上数据湖是为大数据分析而设计的，更重要的是，它是为基于实时分析的实时操作而设计的。
In fact, data lakes are designed for big data analytics if you want and, more important than ever, for real-time actions based on real-time analytics.

与数据仓库不同，数据湖是所有数据（包括结构化和非结构化数据）的中央存储库。
Unlike a data warehouse, a data lake is a centralized repository for all data, including structured and unstructured.

什么是“数据湖”?
What is this“data lake” thing?

了解更多：什么是数据湖？?
Explainer: What is a data lake?

数据湖策略是数据自由化运动的一部分。
The data lake strategy is part of a greater movement toward data liberalization.

而这只是数据湖管理难题的一部分。
And that's just one piece of the data lake management puzzle.

这是数据湖与数据仓库的最大区别。
This is the main difference between data lake and data warehouse.

Jean-FrançoisWassong：数据湖通常是多个成分的集合。
Jean-François Wassong: A data lake is generally a collection of multiple components.

数据湖的核心原则是存储原始的，未经改变的数据。
A core tenet of the data lake is the storage of raw, unaltered data.

洞察数据湖，当他们是恰当的时候的好处，以及如何实施他们。
Gain insight into data lakes, their benefits, when they are appropriate, and how to operationalize them.

数据湖仍将反映的是使用它的数据科学家。
The data lake will be used by data scientists.

一个数据沼泽是一个劣化的数据湖，用户无法访问，或是没什么价值。[1][2].
A data swamp is a deteriorated data lake that is either inaccessible to its intended users or is providing little value.[3][4].

如果您的数据湖变成了数据沼泽，那么是时候采取措施了.
If your data lake turned into a data swamp, it might be time to take the next….

企业发现，构建数据湖的价值是有限的，因为他们可以通过使用更简单的云技术来进行数据挖掘。
Enterprises are now seeing that there is limited value in building data lakes, as they can perform data mining by using simpler cloud technologies.

数据湖和数据仓库是品牌可以收集和管理所有数据的两种方式，但两者之间的区别是什么？与从业者交谈，了解他们如何区分这两者。?
Data lakes and data warehouses are two ways that a brand can collect and manage all that data, but what's the difference between the two?

数据湖：数据湖是一个相对原始状态的大型收集数据存储库的术语。
Data lake: Data lake is a term for a large repository of collected data in a relatively raw state.

然而，根据Aberdeen的调查，只有三分之一的企业的数据湖是建立在开源的基于Hadoop的技术之上。
However, according to Aberdeen's research, only about one-third of organizations with a data lake currently implemented have built it on open-source Hadoop-based technology.

但是至少数据都进到数据湖，是不是看起来很美好。
Getting data into the data lake, doesn't seem to be a problem.

数据湖是一个集中式存储库，允许您以任意规模存储所有结构化和非结构化数据。
A data lake is a centralized repository that allows you to store all your structured and unstructured data on a scalable basis.

创建数据驱动的未来的愿望催生了庞大的数据湖，即使是最有经验的数据科学家也可以淹没其中。
An aspiration to create a data-driven future has resulted in massive data lakes, where even the most experienced data scientists can drown in.