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

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


The following commit(s) were added to refs/heads/master by this push:
     new a37e1f9f74e Update webinar3.1 1 2 (#2930)
a37e1f9f74e is described below

commit a37e1f9f74e86fb3a558cd28981a957a6bdf7182
Author: ShirleyHe <[email protected]>
AuthorDate: Mon Sep 29 16:24:00 2025 +0800

    Update webinar3.1 1 2 (#2930)
    
    ## Versions
    
    - [ ] dev
    - [ ] 3.0
    - [ ] 2.1
    - [ ] 2.0
    
    ## Languages
    
    - [ ] Chinese
    - [ ] English
    
    ## Docs Checklist
    
    - [ ] Checked by AI
    - [ ] Test Cases Built
---
 src/pages/events/index.tsx                         |  73 ++++++++++++++++++++-
 .../images/events/webinar_3.1_release_250911.jpg   | Bin 0 -> 454155 bytes
 .../images/events/webinar_3.1_release_250916.jpg   | Bin 0 -> 453871 bytes
 .../images/events/webinar_3.1_release_250925.jpg   | Bin 0 -> 456393 bytes
 4 files changed, 71 insertions(+), 2 deletions(-)

diff --git a/src/pages/events/index.tsx b/src/pages/events/index.tsx
index dbb8e7754c0..c5255f833c3 100644
--- a/src/pages/events/index.tsx
+++ b/src/pages/events/index.tsx
@@ -195,6 +195,75 @@ const EVENTS_PAGE_DATA = {
         },
     ],
     eventListZh: [
+        {
+            cardTitle: '',
+            cardDate: '',
+            tag: '',
+            detailTitle: 'Apache Doris 3.1 新版本解读(三):湖仓一体升级',
+            date: '2025 年 09 月 25 日',
+            address: '线上直播',
+            description:
+                '作为一款高性能、实时的 MPP 分析型数据库,Doris 
持续在湖仓融合、半结构化分析、存算分离、实时分析等方向快速演进。3.1 版本在 3.0 
的基础上进一步夯实核心能力,带来半结构化分析、湖仓一体、存储层等方面多项关键特性升级,助力企业构建更高效、更灵活的数据分析系统。',
+            start_date: '2025-09-25T19:30:00.000Z',
+            end_date: '2025-09-25T20:30:00.000Z',
+            img: (
+                <img
+                    alt="doris-meetup-20250925"
+                    width={384}
+                    height={164}
+                    className="rounded-t-lg"
+                    
src={`${require('@site/static/images/events/webinar_3.1_release_250925.jpg').default}`}
+                />
+            ),
+            isCover: true,
+            link: 
'https://www.selectdb.com/resources/events/doris-webinar-20250925',
+        },
+        {
+            cardTitle: '',
+            cardDate: '',
+            tag: '',
+            detailTitle: 'Apache Doris 3.1 新版本解读(二):半结构化分析',
+            date: '2025 年 09 月 16 日',
+            address: '线上直播',
+            description:
+                '作为一款高性能、实时的 MPP 分析型数据库,Doris 
持续在湖仓融合、半结构化分析、存算分离、实时分析等方向快速演进。3.1 版本在 3.0 
的基础上进一步夯实核心能力,带来半结构化分析、湖仓一体、存储层等方面多项关键特性升级,助力企业构建更高效、更灵活的数据分析系统。',
+            start_date: '2025-09-16T19:30:00.000Z',
+            end_date: '2025-09-16T20:30:00.000Z',
+            img: (
+                <img
+                    alt="doris-meetup-20250916"
+                    width={384}
+                    height={164}
+                    className="rounded-t-lg"
+                    
src={`${require('@site/static/images/events/webinar_3.1_release_250916.jpg').default}`}
+                />
+            ),
+            isCover: true,
+            link: 
'https://www.selectdb.com/resources/events/doris-webinar-20250916',
+        },
+        {
+            cardTitle: '',
+            cardDate: '',
+            tag: '',
+            detailTitle: 'Apache Doris 3.1 新版本解读(一):整体功能介绍',
+            date: '2025 年 09 月 11 日',
+            address: '线上直播',
+            description:
+                '作为一款高性能、实时的 MPP 分析型数据库,Doris 
持续在湖仓融合、半结构化分析、存算分离、实时分析等方向快速演进。3.1 版本在 3.0 
的基础上进一步夯实核心能力,带来半结构化分析、湖仓一体、存储层等方面多项关键特性升级,助力企业构建更高效、更灵活的数据分析系统。',
+            start_date: '2025-09-11T19:30:00.000Z',
+            end_date: '2025-09-11T20:30:00.000Z',
+            img: (
+                <img
+                    alt="doris-meetup-20250911"
+                    width={384}
+                    height={164}
+                    className="rounded-t-lg"
+                    
src={`${require('@site/static/images/events/webinar_3.1_release_250911.jpg').default}`}
+                />
+            ),
+            isCover: true,
+            link: 
'https://www.selectdb.com/resources/events/doris-webinar-20250911',
+        },
         {
             cardTitle: '',
             cardDate: '',
@@ -224,9 +293,9 @@ const EVENTS_PAGE_DATA = {
             tag: '',
             detailTitle: '走进浪潮|Apache Doris 企业行',
             date: '2025 年 08 月 15 日',
-            address: '山东省济南市历下区浪潮科技园 S01 2101',
+            address: '山东省济南市历下区浪潮科技园 S01-2101',
             description:
-                '此次活动将首次解读面向 AI 的实时分析型数据库 —— Apache Doris 4.0 全新特性,聚焦其在 
AI、湖仓一体、存算分离、可观测性、高并发点查等关键场景的技术实践。活动将深入探讨 Apache Doris 
如何应对各类复杂业务需求,并邀请来自浪潮与中泰证券的技术专家分享实战经验,共同探索基于 Apache Doris 及其商业化产品 SelectDB 
构建实时数据平台的最佳路径。',
+                '此次活动将首次解读面向 AI 的实时分析型数据库 — Apache Doris 4.0 全新特性,聚焦其在 
AI、湖仓一体、存算分离、可观测性、高并发点查等关键场景的技术实践。活动将深入探讨 Apache Doris 
如何应对各类复杂业务需求,并邀请来自浪潮与中泰证券的技术专家分享实战经验,共同探索基于 Apache Doris 及其商业化产品 SelectDB 
构建实时数据平台的最佳路径。',
             start_date: '2025-08-15T13:00:00.000Z',
             end_date: '2025-08-14T17:00:00.000Z',
             img: (
diff --git a/static/images/events/webinar_3.1_release_250911.jpg 
b/static/images/events/webinar_3.1_release_250911.jpg
new file mode 100644
index 00000000000..f0fa5c8f951
Binary files /dev/null and 
b/static/images/events/webinar_3.1_release_250911.jpg differ
diff --git a/static/images/events/webinar_3.1_release_250916.jpg 
b/static/images/events/webinar_3.1_release_250916.jpg
new file mode 100644
index 00000000000..54d647b092d
Binary files /dev/null and 
b/static/images/events/webinar_3.1_release_250916.jpg differ
diff --git a/static/images/events/webinar_3.1_release_250925.jpg 
b/static/images/events/webinar_3.1_release_250925.jpg
new file mode 100644
index 00000000000..793e58a47cc
Binary files /dev/null and 
b/static/images/events/webinar_3.1_release_250925.jpg differ


---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to