[rocketmq-site] 01/01: add rocketmq-streams-1.0.0-preview release note

[zh...@apache.org]

This is an automated email from the ASF dual-hosted git repository.

zhoubo pushed a commit to branch add_rocketmq_streams_1.0.0_preview_releasenote
in repository https://gitbox.apache.org/repos/asf/rocketmq-site.git

commit ff48352e7b152a80220b35828f7ae2ed8d8e4a1f
Author: odbozhou <87...@qq.com>
AuthorDate: Tue Jan 18 14:05:09 2022 +0800

    add rocketmq-streams-1.0.0-preview release note
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 ...release-notes-rocketmq-streams-1.0.0-preview.md | 24 ++++++++++++++++++++++
 1 file changed, 24 insertions(+)

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+---
+title: "Release Notes - Apache RocketMQ Streams - Version 1.0.0-preview"
+categories:
+    - Release_Notes
+tags:
+    - Release_Notes
+    - RocketMQ
+    - Version
+---
+
+Below is a summary of the issues addressed in the 1.0.0-preview release of RocketMQ Streams. For full documentation of the release, a guide to get started, please refer to <a href='/docs/quick-start/'>Quick Start</a>.
+
+<h2> Download the rocketmq-streams-1.0.0-preview release</h2>
+
+* Source: [rocketmq-streams-1.0.0-preview.zip](https://archive.apache.org/dist/rocketmq/rocketmq-streams/rocketmq-streams-1.0.0-preview.zip) [[PGP](https://archive.apache.org/dist/rocketmq/rocketmq-streams/rocketmq-streams-1.0.0-preview.zip.asc)] [[SHA512](https://archive.apache.org/dist/rocketmq/rocketmq-streams/rocketmq-streams-1.0.0-preview.zip.sha512)]
+
+
+## Apache RocketMQ Streams
+
+With the popularization and development of mobile internet and cloud computing technologies in all walks of life, big data computing has been deeply rooted in the hearts of the people, the most common ones are flink, spark, etc. These big data frameworks adopt a centralized Master-Slave architecture, which is heavy in dependence and deployment, and each task also has a large overhead and a large usage cost. RocketMQ Streams focuses on building a lightweight computing engine. Except for m [...]
+
+RocketMQ Streams is suitable for scenarios with large data volume -> high filtering -> light window computing. The core builds light resources and high performance advantages. It has great advantages in resource sensitive scenarios. The minimum 1core and 1g can be deployed. Recommended application scenarios (safe , Risk control, edge computing, message queue flow computing).
+
+