Docs/sangshuduo/td 13307 add desc to index (#10692)

* [TD-13307]<docs>: add description to docs index.

* fix the link of how to use taosBenchmark

* fix wrong links

* fix markdown format

* refine getting started section

* update

* fix install doc link

* fix chinese wording

* adjust section order

* adjust few format

* fix markdown format

* change logo

* replace logo with 50% smaller

* replace logo with 40% smaller

* replace logo with 327x80 smaller

* add collectd/statsd writing section

* fix typo

documentation20/cn/14.devops/03.immigrate/docs.md

@@ -174,7 +174,7 @@ TDengine 支持标准的 JDBC 3.0 接口操纵数据库，你也可以使用其
 
 为了方便历史数据的迁移工作，我们为数据同步工具 DataX 提供了插件，能够将数据自动写入到 TDengine 中，需要注意的是 DataX 的自动化数据迁移只能够支持单值模型的数据迁移过程。
 
-DataX 具体的使用方式及如何使用 DataX 将数据写入 TDengine 请参见[基于DataX的TDeninge数据迁移工具](https://www.taosdata.com/blog/2021/10/26/3156.html)。
+DataX 具体的使用方式及如何使用 DataX 将数据写入 TDengine 请参见[基于 DataX 的 TDengine 数据迁移工具](https://www.taosdata.com/blog/2021/10/26/3156.html)。
 
 在对 DataX 进行迁移实践后，我们发现通过启动多个进程，同时迁移多个 metric 的方式，可以大幅度的提高迁移历史数据的效率，下面是迁移过程中的部分记录，希望这些能为应用迁移工作带来参考。
 

documentation20/en/00.index/docs.md

@@ -38,6 +38,8 @@ TDengine is a highly efficient platform to store, query, and analyze time-series
 - [Data Writing via Schemaless](/insert#schemaless): write one or multiple records with automatic table creation and adaptive table structure maintenance
 - [Data Writing via Prometheus](/insert#prometheus): Configure Prometheus to write data directly without any code
 - [Data Writing via Telegraf](/insert#telegraf): Configure Telegraf to write collected data directly without any code
+- [Data Writing via collectd](/insert#collectd): Configure collectd to write collected data directly without any code
+- [Data Writing via StatsD](/insert#statsd): Configure StatsD to write collected data directly without any code
 - [Data Writing via EMQX](/insert#emq): Configure EMQX to write MQTT data directly without any code
 - [Data Writing via HiveMQ Broker](/insert#hivemq): Configure HiveMQ to write MQTT data directly without any code
 
@@ -95,7 +97,7 @@ TDengine is a highly efficient platform to store, query, and analyze time-series
 - [R](/connections#r): access data stored in TDengine server via JDBC configured within R
 - [IDEA Database](https://www.taosdata.com/blog/2020/08/27/1767.html): use TDengine visually through IDEA Database Management Tool
 - [TDengineGUI](https://github.com/skye0207/TDengineGUI): a TDengine management tool with Graphical User Interface
-- [DataX](https://github.com/taosdata/datax): a data immigaration tool with TDeninge supported
+- [DataX](https://github.com/taosdata/datax): a data immigration tool with TDengine supported
 
 ## [Installation and Management of TDengine Cluster](/cluster)