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new c925667 [INLONG-2103] update the definition of Apache InLong (#250)
c925667 is described below
commit c9256670c0e01e255c1c74dbb063208b0951bc84
Author: dockerzhang <[email protected]>
AuthorDate: Wed Jan 5 11:02:22 2022 +0800
[INLONG-2103] update the definition of Apache InLong (#250)
Co-authored-by: dockerzhang <[email protected]>
---
blog/apache-inlong-0.12.0.md | 4 ++--
docs/introduction.md | 2 +-
docs/modules/manager/overview.md | 2 +-
docs/quick_start/pulsar_example.md | 2 +-
i18n/zh-CN/docusaurus-plugin-content-blog/apache-inlong-0.12.0.md | 4 ++--
i18n/zh-CN/docusaurus-plugin-content-docs/current/introduction.md | 2 +-
.../current/modules/manager/overview.md | 2 +-
.../docusaurus-plugin-content-docs/version-0.12.0/introduction.md | 2 +-
.../version-0.12.0/modules/manager/overview.md | 2 +-
src/pages/Home/config.json | 4 ++--
versioned_docs/version-0.12.0/modules/manager/overview.md | 2 +-
versioned_docs/version-0.12.0/quick_start/pulsar_example.md | 2 +-
12 files changed, 15 insertions(+), 15 deletions(-)
diff --git a/blog/apache-inlong-0.12.0.md b/blog/apache-inlong-0.12.0.md
index e9e7ace..ab14e53 100644
--- a/blog/apache-inlong-0.12.0.md
+++ b/blog/apache-inlong-0.12.0.md
@@ -5,7 +5,7 @@ sidebar_position: 1
InLong: the sacred animal in Chinese myths stories, draws rivers into the sea,
as a metaphor for the InLong system to provide data access capabilities.
-Apache InLong is a one-stop data ingestion platform that provides automatic,
secure and reliable data transmission capabilities. InLong supports both batch
and stream data processing at the same time, which offers great power to build
data analysis, modeling and other real-time applications based on streaming
data.
+Apache InLong is a one-stop data integration framework that provides
automatic, secure and reliable data transmission capabilities. InLong supports
both batch and stream data processing at the same time, which offers great
power to build data analysis, modeling and other real-time applications based
on streaming data.
The 0.12.0-incubating just released mainly includes the following:
- Provide automatic, safe, reliable and high-performance data transmission
capabilities, while supporting batch and streaming
- Refactor the document structure of the official website to facilitate users
to consult related documents based on the main line
@@ -17,7 +17,7 @@ This version closed about 120+ issues, including four major
features and 35 impr
### Apache InLong(incubating) Introduction
-[Apache InLong](https://inlong.apache.org) is a one-stop data access platform
donated by Tencent to the Apache community. It provides automatic, safe,
reliable, and high-performance data transmission capabilities to facilitate
the construction of streaming-based data analysis, modeling, and
applications.
+[Apache InLong](https://inlong.apache.org) is a one-stop data integration
framework donated by Tencent to the Apache community. It provides automatic,
safe, reliable, and high-performance data transmission capabilities to
facilitate the construction of streaming-based data analysis, modeling, and
applications.
The Apache InLong project was originally called TubeMQ, focusing on
high-performance, low-cost message queuing services. In order to further
release the surrounding ecological capabilities of TubeMQ, we upgraded the
project to InLong, focusing on creating a one-stop data integration solution.
Apache InLong uses TDBank internally used by Tencent as the prototype, and
relies on trillion-level data access and processing capabilities to integrate
the entire process of data collection, aggregation, storage, and sorting
data processing. It is simple to use, flexible to expand, stable and
reliable characteristic.
diff --git a/docs/introduction.md b/docs/introduction.md
index 47c4b95..061be03 100644
--- a/docs/introduction.md
+++ b/docs/introduction.md
@@ -7,7 +7,7 @@ sidebar_position: 1
> it is regarded as a metaphor of the InLong system for reporting streams of
> data.
## About InLong
-[Apache InLong](https://inlong.apache.org) is a one-stop data ingestion
platform donated by Tencent to the Apache community. It provides automatic,
safe, reliable, and high-performance data transmission capabilities to
facilitate the construction of streaming-based data analysis, modeling, and
applications.
+[Apache InLong](https://inlong.apache.org) is a one-stop data integration
framework donated by Tencent to the Apache community. It provides automatic,
safe, reliable, and high-performance data transmission capabilities to
facilitate the construction of streaming-based data analysis, modeling, and
applications.
The Apache InLong project was originally called TubeMQ, focusing on
high-performance, low-cost message queuing services. In order to further
release the surrounding ecological capabilities of TubeMQ, we upgraded the
project to InLong, focusing on creating a one-stop data integration solution.
Apache InLong uses TDBank internally used by Tencent as the prototype, and
relies on trillion-level data access and processing capabilities to integrate
the entire process of data collection, aggregation, storage, and sorting
data processing. It is simple to use, flexible to expand, stable and
reliable characteristic.
diff --git a/docs/modules/manager/overview.md b/docs/modules/manager/overview.md
index 993d53d..27ee1f4 100644
--- a/docs/modules/manager/overview.md
+++ b/docs/modules/manager/overview.md
@@ -4,7 +4,7 @@ title: Overview
## 1 Introduction to Apache InLong Manager
-+ Target positioning: Apache inlong is positioned as a one-stop data access
solution, providing complete coverage of big data access scenarios from data
collection, transmission, sorting, and technical capabilities.
++ Target positioning: Apache inlong is positioned as a one-stop data
integration framework, providing complete coverage of big data access scenarios
from data collection, transmission, sorting, and technical capabilities.
+ Platform value: Users can complete task configuration, management, and
indicator monitoring through the platform's built-in management and
configuration platform. At the same time, the platform provides SPI extension
points in the main links of the process to implement custom logic as needed.
Ensure stable and efficient functions while lowering the threshold for platform
use.
diff --git a/docs/quick_start/pulsar_example.md
b/docs/quick_start/pulsar_example.md
index 3ecd263..2469096 100644
--- a/docs/quick_start/pulsar_example.md
+++ b/docs/quick_start/pulsar_example.md
@@ -3,7 +3,7 @@ title: Pulsar Example
sidebar_position: 2
---
-Apache InLong has increased the ability to access data through Apache Pulsar,
taking full advantage of Pulsar's technical advantages that are different from
other MQ, and providing complete solutions for data ingestion scenarios with
higher data quality requirements such as finance and billing.
+Apache InLong has increased the ability to access data through Apache Pulsar,
taking full advantage of Pulsar's technical advantages that are different from
other MQ, and providing complete solutions for data integration scenarios with
higher data quality requirements such as finance and billing.
In the following content, we will use a complete example to introduce Apache
Pulsar to access data through Apache InLong.
diff --git a/i18n/zh-CN/docusaurus-plugin-content-blog/apache-inlong-0.12.0.md
b/i18n/zh-CN/docusaurus-plugin-content-blog/apache-inlong-0.12.0.md
index 20d2a75..9edc548 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-blog/apache-inlong-0.12.0.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-blog/apache-inlong-0.12.0.md
@@ -5,7 +5,7 @@ sidebar_position: 1
InLong(应龙) : 中国神话故事里的神兽，引流入海，借喻 InLong 系统提供数据接入能力。
-Apache
InLong（应龙）是一个一站式的数据接入平台，提供自动、安全、可靠和高性能的数据传输能力，同时支持批和流，方便业务构建基于流式的数据分析、建模和应用。InLong支持大数据领域的采集、汇聚、缓存和分拣功能，用户只需要简单的配置就可以把数据从数据源导入到实时计算引擎或者落地到离线存储。
+Apache
InLong（应龙）是一个一站式的数据集成框架，提供自动、安全、可靠和高性能的数据传输能力，同时支持批和流，方便业务构建基于流式的数据分析、建模和应用。InLong支持大数据领域的采集、汇聚、缓存和分拣功能，用户只需要简单的配置就可以把数据从数据源导入到实时计算引擎或者落地到离线存储。
刚刚发布的 0.12.0-incubating 主要包括以下内容：
- 提供自动、安全、可靠和高性能的数据传输能力，同时支持批和流
@@ -17,7 +17,7 @@ Apache InLong（应龙）是一个一站式的数据接入平台，提供自动
该版本关闭了约 120+ 个 issue，包含四个重大 feature 和 35 个 improvements。
### Apache InLong(incubating) 简介
-[Apache InLong（应龙）](https://inlong.apache.org/zh-cn/) 是腾讯捐献给 Apache
社区的一站式的数据接入平台，提供自动、安全、可靠和高性能的数据传输能力，方便业务构建基于流式的数据分析、建模和应用。 InLong 项目原名 TubeMQ
，专注于高性能、低成本的消息队列服务。为了进一步释放 TubeMQ 周边的生态能力，我们将项目升级为 InLong，专注打造一站式数据流接入服务平台。
+[Apache InLong（应龙）](https://inlong.apache.org/zh-cn/) 是腾讯捐献给 Apache
社区的一站式的数据集成框架，提供自动、安全、可靠和高性能的数据传输能力，方便业务构建基于流式的数据分析、建模和应用。 InLong 项目原名 TubeMQ
，专注于高性能、低成本的消息队列服务。为了进一步释放 TubeMQ 周边的生态能力，我们将项目升级为 InLong，专注打造一站式数据流接入服务平台。
Apache InLong 以腾讯内部使用的 TDBank
为原型，具有万亿级数据的接入和处理能力，整合了数据采集、汇聚、存储、分拣数据处理全流程，拥有简单易用、灵活扩展、稳定可靠等特性。
<img src="/img/inlong_architecture.png" align="center" alt="Apache InLong"/>
diff --git a/i18n/zh-CN/docusaurus-plugin-content-docs/current/introduction.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/introduction.md
index 16a958f..80c1d9b 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-docs/current/introduction.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/current/introduction.md
@@ -6,7 +6,7 @@ sidebar_position: 1
> InLong(应龙)，中国神话故事里的神兽，引流入海，借喻 InLong 系统提供数据接入能力。
## 关于 InLong
-[Apache InLong（应龙）](https://inlong.apache.org)是腾讯捐献给 Apache
社区的一站式的数据接入平台，提供自动、安全、可靠和高性能的数据传输能力，方便业务构建基于流式的数据分析、建模和应用。
+[Apache InLong（应龙）](https://inlong.apache.org)是腾讯捐献给 Apache
社区的一站式的数据集成框架，提供自动、安全、可靠和高性能的数据传输能力，方便业务构建基于流式的数据分析、建模和应用。
InLong 项目原名 TubeMQ ，专注于高性能、低成本的消息队列服务。为了进一步释放 TubeMQ 周边的生态能力，我们将项目升级为
InLong，专注打造一站式数据流接入服务平台。
Apache InLong 以腾讯内部使用的 TDBank
为原型，依托万亿级别的数据接入和处理能力，整合了数据采集、汇聚、存储、分拣数据处理全流程，拥有简单易用、灵活扩展、稳定可靠等特性。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/manager/overview.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/manager/overview.md
index 20b4f6e..bc3e9ed 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/manager/overview.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/current/modules/manager/overview.md
@@ -8,7 +8,7 @@ title: 总览
+
平台价值：用户可以通过平台中自带的管理、配置平台完成任务的配置、管理、指标监控，同时通过平台在流程中各主要环节提供SPI扩展点按需要实现自定义逻辑。保证功能稳定高效的同时降低平台使用门槛。
-+ Apache InLong
Manager作为整个数据接入平台面向用户的统一管理入口，用户登录后会根据对应角色提供不同的功能权限以及数据权限。页面提供平台各基础集群（如mq、分拣）维护入口，可随时查看维护基本信息、容量规划调整。同时业务用户可完成数据接入任务的创建、修改维护、指标查看、接入对账等功能。其对应的后台服务在用户创建并启动任务的同时会与底层各模块进行数据交互，将各模块需要执行的任务通过合理的方式下发。起到协调串联后台业务执行流程的作用。
++ Apache InLong
Manager作为整个数据集成平台面向用户的统一管理入口，用户登录后会根据对应角色提供不同的功能权限以及数据权限。页面提供平台各基础集群（如mq、分拣）维护入口，可随时查看维护基本信息、容量规划调整。同时业务用户可完成数据接入任务的创建、修改维护、指标查看、接入对账等功能。其对应的后台服务在用户创建并启动任务的同时会与底层各模块进行数据交互，将各模块需要执行的任务通过合理的方式下发。起到协调串联后台业务执行流程的作用。
## 2 Architecture
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-0.12.0/introduction.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-0.12.0/introduction.md
index 16a958f..80c1d9b 100644
--- a/i18n/zh-CN/docusaurus-plugin-content-docs/version-0.12.0/introduction.md
+++ b/i18n/zh-CN/docusaurus-plugin-content-docs/version-0.12.0/introduction.md
@@ -6,7 +6,7 @@ sidebar_position: 1
> InLong(应龙)，中国神话故事里的神兽，引流入海，借喻 InLong 系统提供数据接入能力。
## 关于 InLong
-[Apache InLong（应龙）](https://inlong.apache.org)是腾讯捐献给 Apache
社区的一站式的数据接入平台，提供自动、安全、可靠和高性能的数据传输能力，方便业务构建基于流式的数据分析、建模和应用。
+[Apache InLong（应龙）](https://inlong.apache.org)是腾讯捐献给 Apache
社区的一站式的数据集成框架，提供自动、安全、可靠和高性能的数据传输能力，方便业务构建基于流式的数据分析、建模和应用。
InLong 项目原名 TubeMQ ，专注于高性能、低成本的消息队列服务。为了进一步释放 TubeMQ 周边的生态能力，我们将项目升级为
InLong，专注打造一站式数据流接入服务平台。
Apache InLong 以腾讯内部使用的 TDBank
为原型，依托万亿级别的数据接入和处理能力，整合了数据采集、汇聚、存储、分拣数据处理全流程，拥有简单易用、灵活扩展、稳定可靠等特性。
diff --git
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-0.12.0/modules/manager/overview.md
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-0.12.0/modules/manager/overview.md
index 20b4f6e..bc3e9ed 100644
---
a/i18n/zh-CN/docusaurus-plugin-content-docs/version-0.12.0/modules/manager/overview.md
+++
b/i18n/zh-CN/docusaurus-plugin-content-docs/version-0.12.0/modules/manager/overview.md
@@ -8,7 +8,7 @@ title: 总览
+
平台价值：用户可以通过平台中自带的管理、配置平台完成任务的配置、管理、指标监控，同时通过平台在流程中各主要环节提供SPI扩展点按需要实现自定义逻辑。保证功能稳定高效的同时降低平台使用门槛。
-+ Apache InLong
Manager作为整个数据接入平台面向用户的统一管理入口，用户登录后会根据对应角色提供不同的功能权限以及数据权限。页面提供平台各基础集群（如mq、分拣）维护入口，可随时查看维护基本信息、容量规划调整。同时业务用户可完成数据接入任务的创建、修改维护、指标查看、接入对账等功能。其对应的后台服务在用户创建并启动任务的同时会与底层各模块进行数据交互，将各模块需要执行的任务通过合理的方式下发。起到协调串联后台业务执行流程的作用。
++ Apache InLong
Manager作为整个数据集成平台面向用户的统一管理入口，用户登录后会根据对应角色提供不同的功能权限以及数据权限。页面提供平台各基础集群（如mq、分拣）维护入口，可随时查看维护基本信息、容量规划调整。同时业务用户可完成数据接入任务的创建、修改维护、指标查看、接入对账等功能。其对应的后台服务在用户创建并启动任务的同时会与底层各模块进行数据交互，将各模块需要执行的任务通过合理的方式下发。起到协调串联后台业务执行流程的作用。
## 2 Architecture
diff --git a/src/pages/Home/config.json b/src/pages/Home/config.json
index 52e59ef..403fde8 100644
--- a/src/pages/Home/config.json
+++ b/src/pages/Home/config.json
@@ -3,7 +3,7 @@
"brand": {
"brandName": "Apache",
"projectName": "InLong",
- "briefIntroduction": "Apache
InLong（应龙）是一个一站式的数据接入平台，提供自动、安全、可靠和高性能的数据传输能力，同时支持批和流，方便业务构建基于流式的数据分析、建模和应用。",
+ "briefIntroduction": "Apache
InLong（应龙）是一个一站式的数据集成框架，提供自动、安全、可靠和高性能的数据传输能力，同时支持批和流，方便业务构建基于流式的数据分析、建模和应用。",
"features": [
"自动",
"安全",
@@ -67,7 +67,7 @@
"High performance",
"Distributed"
],
- "briefIntroduction": "Apache InLong is a one-stop data ingestion
platform that provides automatic, secure and reliable data transmission
capabilities. InLong supports both batch and stream data processing at the same
time, which offers great power to build data analysis, modeling and other
real-time applications based on streaming data.",
+ "briefIntroduction": "Apache InLong is a one-stop data integration
framework that provides automatic, secure and reliable data transmission
capabilities. InLong supports both batch and stream data processing at the same
time, which offers great power to build data analysis, modeling and other
real-time applications based on streaming data.",
"buttons": [
{
"text": "Quick Start",
diff --git a/versioned_docs/version-0.12.0/modules/manager/overview.md
b/versioned_docs/version-0.12.0/modules/manager/overview.md
index 993d53d..27ee1f4 100644
--- a/versioned_docs/version-0.12.0/modules/manager/overview.md
+++ b/versioned_docs/version-0.12.0/modules/manager/overview.md
@@ -4,7 +4,7 @@ title: Overview
## 1 Introduction to Apache InLong Manager
-+ Target positioning: Apache inlong is positioned as a one-stop data access
solution, providing complete coverage of big data access scenarios from data
collection, transmission, sorting, and technical capabilities.
++ Target positioning: Apache inlong is positioned as a one-stop data
integration framework, providing complete coverage of big data access scenarios
from data collection, transmission, sorting, and technical capabilities.
+ Platform value: Users can complete task configuration, management, and
indicator monitoring through the platform's built-in management and
configuration platform. At the same time, the platform provides SPI extension
points in the main links of the process to implement custom logic as needed.
Ensure stable and efficient functions while lowering the threshold for platform
use.
diff --git a/versioned_docs/version-0.12.0/quick_start/pulsar_example.md
b/versioned_docs/version-0.12.0/quick_start/pulsar_example.md
index 3ecd263..2469096 100644
--- a/versioned_docs/version-0.12.0/quick_start/pulsar_example.md
+++ b/versioned_docs/version-0.12.0/quick_start/pulsar_example.md
@@ -3,7 +3,7 @@ title: Pulsar Example
sidebar_position: 2
---
-Apache InLong has increased the ability to access data through Apache Pulsar,
taking full advantage of Pulsar's technical advantages that are different from
other MQ, and providing complete solutions for data ingestion scenarios with
higher data quality requirements such as finance and billing.
+Apache InLong has increased the ability to access data through Apache Pulsar,
taking full advantage of Pulsar's technical advantages that are different from
other MQ, and providing complete solutions for data integration scenarios with
higher data quality requirements such as finance and billing.
In the following content, we will use a complete example to introduce Apache
Pulsar to access data through Apache InLong.
