[doris] branch master updated: [Doc](fix) Fixed two documentation errors (#19879)

[yi...@apache.org]

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yiguolei pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/doris.git


The following commit(s) were added to refs/heads/master by this push:
     new 3e02b0e7ea [Doc](fix) Fixed two documentation errors (#19879)
3e02b0e7ea is described below

commit 3e02b0e7eadec232c471c0db8393b81503a4db61
Author: bingquanzhao <39...@users.noreply.github.com>
AuthorDate: Sat May 20 00:25:01 2023 +0800

    [Doc](fix) Fixed two documentation errors (#19879)
---
 docs/en/docs/summary/basic-summary.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/en/docs/summary/basic-summary.md b/docs/en/docs/summary/basic-summary.md
index 2ef03d308d..7ed8a0a91d 100644
--- a/docs/en/docs/summary/basic-summary.md
+++ b/docs/en/docs/summary/basic-summary.md
@@ -25,7 +25,7 @@ under the License.
 
 Apache Doris is a high-performance, real-time analytical database based on MPP architecture, known for its extreme speed and ease of use. It only requires a sub-second response time to return query results under massive data and can support not only high-concurrent point query scenarios but also high-throughput complex analysis scenarios. All this makes Apache Doris an ideal tool for scenarios including report analysis, ad-hoc query, unified data warehouse, and data lake query accelerati [...]
 
-Apache Doris, formerly known as Palo, was initially created to support Baidu's ad reporting business. It was officially open-sourced in 2017 and donated by Baidu to the Apache Foundation for incubation in July 2018, where it was operated by members of the incubator project management committee under the guidance of Apache mentors. Currently, the Apache Doris community has gathered more than 400 contributors from hundreds companies in different industries, and the number of active contrib [...]
+Apache Doris, formerly known as Palo, was initially created to support Baidu's ad reporting business. It was officially open-sourced in 2017 and donated by Baidu to the Apache Foundation for incubation in July 2018, where it was operated by members of the incubator project management committee under the guidance of Apache mentors. Currently, the Apache Doris community has gathered more than 500 contributors from hundreds of companies in different industries, and the number of active cont [...]
 
 Apache Doris now has a wide user base in China and around the world, and as of today, Apache Doris is used in production environments in over 2000 companies worldwide. Of the top 50 Chinese Internet companies by market capitalization (or valuation), more than 80% are long-term users of Apache Doris, including Baidu, Meituan, Xiaomi, Jingdong, Bytedance, Tencent, NetEase, Kwai, Weibo, and Ke Holdings. It is also widely used in some traditional industries such as finance, energy, manufactu [...]
 
@@ -40,7 +40,7 @@ Apache Doris is widely used in the following scenarios:
 
     -   Real-time dashboards
     -   Reports for in-house analysts and managers
-    -   Highly concurrent user-oriented or customer-oriented report analysis: such as website analysis and ad reporting that usually require thousands of QPS and quick response times measured in miliseconds. A successful user case is that Doris has been used by the Chinese e-commerce giant JD.com in ad reporting, where it receives 10 billion rows of data per day, handles over 10,000 QPS, and delivers a 99 percentile query latency of 150 ms.
+    -   Highly concurrent user-oriented or customer-oriented report analysis: such as website analysis and ad reporting that usually require thousands of QPS and quick response times measured in milliseconds. A successful user case is that Doris has been used by the Chinese e-commerce giant JD.com in ad reporting, where it receives 10 billion rows of data per day, handles over 10,000 QPS, and delivers a 99 percentile query latency of 150 ms.
 
 -   Ad-Hoc Query. Analyst-oriented self-service analytics with irregular query patterns and high throughput requirements. XiaoMi has built a growth analytics platform (Growth Analytics, GA) based on Doris, using user behavior data for business growth analysis, with an average query latency of 10 seconds and a 95th percentile query latency of 30 seconds or less, and tens of thousands of SQL queries per day.
 


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