What is the translation of " GRAPH DATA " in Chinese?

• 图数据
• 图形数据
• 图表数据
• graph data

Examples of using Graph data in English and their translations into Chinese

You can access graph data through either a web interface or a GUI.
你可以通过任何一个Web界面或GUI访问图形数据。

Applying mathematical techniques, such as a graph data model, works well.
应用数学技术，例如图形数据模型，效果更好。

Or it doesn't do XML, graph data or CSVs and other kinds of formats as well.
或者对于XML,图形数据，CSV以及其他格式类型也力不从心。

In this article, we will focus on Spark GraphX for analyzing the graph data.
在该文中，我们将聚焦于用SparkGraphX来分析图数据。

You can also click on the the graph data points to see the source data..
您也可以单击图表数据点来查看源数据。

Graph data visualization tools include D3. js, Linkurious and GraphLab Canvas.
图数据可视化工具包括D3.js、Linkurious和GraphLabCanvas。

Thus there is a growing interest in developing analytics and management techniques for graph data.
因此，人们对为图形数据开发分析和管理技术的兴趣越来越大。

Graph data can be used with a lot of learning tasks contain a lot rich relation data among elements.
图形数据可以与很多学习任务一起使用，在元素之间包含很多丰富的关联数据。

NET, Perl The database platform supports document store and graph data models in a single database.
NET,Perl数据库平台在一个单一数据内支持文档存储和图数据模型。

This survey is a structured, comprehensive overview of the state-of-the-art methods for summarizing graph data.
这项调查是一个结构化的，全面的概述了最先进的方法，以总结图形数据。

Similarly, a service that stores social graph data should probably use a graph database, such as Neo4j.
类似地，存储社交图数据的服务应该可以使用图数据库，例如Neo4j。

The main goal of the use cases in our sample application is to determine graph data statistics such as:.
在我们的应用样例中用到一些用户案例，它们的主要目标在于确定图数据的统计数据，譬如：.

His main research interests include: graph data management, big data computing technology, bioinformatics, etc.
主要研究方向包括：图数据管理、大数据计算技术、生物信息学等。

Google MapReduce was purpose-built for crawling and analyzing the world's largest graph data structure- the internet.
GoogleMapReduce的设计初衷是分析世界上最大的数据图谱--互联网。

Graph data models are about the connected data and relationships between different entities in the data model.
图数据模型是关于在数据模型中不同的实体之间的连接和关系的。

When I talk about types of data, you should imagine unstructured data, graph data, images, videos, voices, and so on.
当讨论数据类型是，需要想象非结构化数据，图数据，图片，视频，语音等等。

For example, Open Graph Data is a metadata protocol that Facebook invented to provide richer metadata for websites.
例如，OpenGraphData是Facebook发明的元数据协议，用于为网站提供更丰富的元数据。

You can also create a mixed chart that overlays two chart types within the same figure, and graph data in a 2D scatter chart.
您也可以创建线柱混合图以在同一个插图中使两种图表类型重叠，以及用2D散点图给数据建立图形。

GraphFrames simplify the graph data analytics pipeline and optimize the queries across both graph and relational data..
GraphFrames简化了图数据分析管道，优化了对图数据和关系数据的查询。

In addition to Map and Reduce operations, it supports SQL queries, streaming data, machine learning and graph data processing.
除了Map和Reduce操作之外，它还支持SQL查询，流数据，机器学习和图表数据处理。

First, let's look at what graph data is and why it's critical to process this type of data in enterprise big data applications.
首先，让我们来看看什么是图数据，并了解在企业大数据应用中处理这类数据为何如此关键。

For a few more interesting questions about this data structure, please practice on Graph Data Structures training module(no login is required).
有关此数据结构的一些有趣问题，请练习GraphDataStructures培训模块（无需登录）。

Traditional systems store all graph data in DRAM, which makes them fast at processing the data but also expensive and power-hungry.
传统的系统把所有图形数据都储存在DRAM里，因此它们处理速度快，但是价格昂贵、耗能多。

Start by understanding the type of data you need to analyze first- is it event data, financial data, graph data or something else?
从了解你需要分析的数据类型开始――你要的是事件数据、财务数据、图表数据还是其他东西?

In this visualization, we show three graph data structures: Adjacency Matrix, Adjacency List, and Edge List- each with its own strengths and weaknesses.
在此可视化中，我们显示了三个图形数据结构：邻接矩阵，邻接列表和边缘列表-每个都有自己的优点和缺点。

However, certain core assumptions of MapReduce are at fundamental odds with analyzing networks of people, telecommunications equipment, documents and other graph data structures.
然而，MapReduce的一些核心假设是基本由人、电信设备、文件和其他图标数据组成的网络结构的基本概率。

Graph data processing techniques are getting a lot of attention lately because they can solve problems like fraud detection and develop recommendation engines.
图数据处理技术最近受到了很多关注，因为可以用它来解决许多问题，包括欺诈检测和开发推荐引擎等。

MarkLogic is considered a multi-model NoSQL database for its ability to store, manage, and search JSON and XML documents and graph data(RDF triples).
MarkLogicMarkLogic提供企业NoSQL数据库，被认为是一个多模型NoSQL数据库，因为它能够存储，管理和搜索JSON和XML文档和图形数据(RDF三元组)。

You will explore graph theory, the graph data structure, and GraphQL types before learning hands-on how to build a schema for a photo-sharing application.
你将先后探索图论、图数据结构和GraphQL类型，之后在实际项目中学习如何为照片共享应用构建schema。

Microsoft Graph data connect is now generally available as a feature in Workplace Analytics and as a standalone SKU for independent software vendors(ISVs).
MicrosoftGraph数据连接服务目前已经作为WorkplaceAnalytics中的一项功能正式发布，同时也作为一项独立单品提供给独立软件开发商（ISV）。