流数据 - 翻译成英语

• streaming data
• stream data

在 中文 中使用 流数据 的示例及其翻译为 英语

他指出，流数据的交互式查询正成为大数据分析组合的一部分。
He noted that interactive queries of streaming data are becoming part of the big data analytics mix.

虽然流数据解决方案对IT行业来说并不陌生，但在网络领域属于一种创新。
Although a streaming data solution is not new to the IT industry, it is an innovation in the networking space.

在某种意义上，这正是分析流数据的挑战，这些数据以滔滔之势向我们涌来，不曾停歇。
In a sense, that's the challenge of analyzing streaming data, which comes at us in a torrent and never lets up.

它是一个用来描述海量实时流数据的收集、可用性和处理的术语。
It is a term that used to describe the collection, availability, and processing of streaming data in real-time of huge volumes.

报告称，“流数据分析类型的深度和广度至关重要。
According to the report,“depth and breadth of analytics types on streaming data are critical.

它是稳定且高可用的，提供了一个简单，灵活和基友流数据的可感知编程模型。
It's designed to be reliable and highly available and it provides a simple, flexible, and intuitive programming model based on streaming data flows.

在使用这种背景下，我们可以创建一个代表从TCP源流数据的离散流（DStream），指定主机名（hostname）（例如localhost）和端口（例如9999）。
Using this context, we can create a DStream that represents streaming data from a TCP source, specified as hostname(e.g. localhost) and port(e.g. 9999).

除了简单的map和reduce操作，Spark还支持SQL查询，流数据，还有诸如机器学习和开箱即用的图形算法之类的复杂分析。
In addition to“map” and“reduce” operations, Spark also supports SQL queries, streaming data, and complex analytics such as machine learning and graph algorithms.

此外，他们无法应对当今面临的挑战，其中包括非结构化数据，物联网(IoT)，流数据，以及数字转型相结合的其他技术。
Plus, they can't meet today's challenges for accommodating unstructured data, the Internet of Things(IoT), streaming data and other technologies integral to digital transformation.

其他住户收入流数据.
Data on other household income flows.

一个面向AWS上的流数据的平台。
A platform for streaming data on AWS.

JoeWalnes想展示WebSocket推动的实时的流数据。
Joe Walnes wanted to show real time streaming data pushed over a WebSocket.

Kafka常用于实时流数据架构并提供实时分析。
Kafka is often used in real-time streaming data architectures to provide real-time analytics.

Kafka经常用于实时流数据架构，提供实时分析。
Kafka is often used in real-time streaming data architectures to provide real-time analytics.

高效地在边缘收集和管理所有形式的流数据。
Efficiently collect and manage all forms of streaming data at the edge.

选择AIOps平台，能够支持广泛的历史和流数据类型.
Select AIOps platforms capable of supporting a broad range of historical and streaming data types.

Kafka经常用于实时流数据架构，提供实时分析。
Kafka is usually used in real-time streaming data architectures to deliver real-time analytics.

Storm适合于实时流数据处理，实时性方面做得极好.
Storm Suitable for real-time streaming data processing, excellent in real-time performance.

为了解决这些问题，Yelp构建了实时流数据平台。
To solve these problems, Yelp built a real-time streaming data platform.

Kafka经常用于实时流数据架构，用于提供实时分析。
Kafka is often used in real-time streaming data architectures to provide real-time analytics.