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The following commit(s) were added to refs/heads/master by this push:
new 00d311e [INLONG-2103] update the definition of Apache InLong (#2104)
00d311e is described below
commit 00d311eaefcf56bcdb05359db02c8939d3a70077
Author: dockerzhang <[email protected]>
AuthorDate: Wed Jan 5 11:00:19 2022 +0800
[INLONG-2103] update the definition of Apache InLong (#2104)
Co-authored-by: dockerzhang <[email protected]>
---
.asf.yaml | 6 +++---
README.md | 4 ++--
pom.xml | 2 +-
3 files changed, 6 insertions(+), 6 deletions(-)
diff --git a/.asf.yaml b/.asf.yaml
index 1b9e315..c54cc7b 100644
--- a/.asf.yaml
+++ b/.asf.yaml
@@ -19,13 +19,13 @@
# of the project and make sure to discuss the changes with dev@ before
committing.
github:
- description: "Apache InLong - a one-stop data ingestion platform"
+ description: "Apache InLong - a one-stop data integration framework"
homepage: https://inlong.apache.org/
labels:
- inlong
- one-stop-service
- - data-ingestion
- - messaging
+ - data-integration
+ - framework
- data-streaming
- event-streaming
features:
diff --git a/README.md b/README.md
index c63a0f2..069098a 100644
--- a/README.md
+++ b/README.md
@@ -39,7 +39,7 @@
- [License](#license)
# What is Apache InLong?
-[Apache InLong](https://inlong.apache.org)(incubating) 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](https://inlong.apache.org)(incubating) 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.
InLong (应龙) is a divine beast in Chinese mythology who guides river into the
sea, it is regarded as a metaphor of the InLong system for reporting streams of
data.
@@ -59,7 +59,7 @@ Apache InLong offers a variety of features:
## When should I use InLong?
-InLong is based on MQ and aims to provide a one-stop, practice-tested module
pluggable data ingestion service platform, based on this system, users can
easily build stream-based data applications. It is suitable for environments
that need to quickly build a data reporting platform, as well as an
ultra-large-scale data reporting environment that InLong is very suitable for,
and an environment that needs to automatically sort and land the reported data.
+InLong is based on MQ and aims to provide a one-stop, practice-tested module
pluggable data integration framework, based on this system, users can easily
build stream-based data applications. It is suitable for environments that need
to quickly build a data reporting platform, as well as an ultra-large-scale
data reporting environment that InLong is very suitable for, and an environment
that needs to automatically sort and land the reported data.
InLong is only a one-stop data reporting pipeline platform. It cannot be used
as a persistent data storage, nor does it support complex business logic
processing on data streams.
diff --git a/pom.xml b/pom.xml
index e835797..e8e5112 100644
--- a/pom.xml
+++ b/pom.xml
@@ -33,7 +33,7 @@
<version>0.13.0-incubating-SNAPSHOT</version>
<name>Apache InLong</name>
- <description>InLong is a one-stop data ingestion platform donated by
Tencent to the Apache community.
+ <description>InLong 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.
</description>
