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The following commit(s) were added to refs/heads/master by this push:
new 2d2cc122687 opt (#363)
2d2cc122687 is described below
commit 2d2cc122687f1768af0306ffbb33b391262dc728
Author: KassieZ <139741991+kass...@users.noreply.github.com>
AuthorDate: Thu Dec 21 17:17:54 2023 +0800
opt (#363)
---
...-Testing-was-a-Handful-Until-we-Found-the-Replacement-for-Druid.md | 2 +-
blog/Annoucing.md | 2 +-
...o-Synchronization-of-an-Entire-MySQL-Database-for-Data-Analysis.md | 2 +-
blog/BestPractice_Kwai.md | 2 +-
...lytics-Solution-10-Times-More-Cost-Effective-Than-Elasticsearch.md | 2 +-
blog/Building-a-Data-Warehouse-for-Traditional-Industry.md | 2 +-
blog/Building-the-Next-Generation-Data-Lakehouse-10X-Performance.md | 2 +-
...g-an-OLAP-Engine-for-Financial-Risk-Management-What-to-Consider.md | 2 +-
blog/Database-Dissection-How-Fast-Data-Queries-Are-Implemented.md | 2 +-
...h-How-to-Support-ten-thousand-Dashboards-Without-Causing-a-Mess.md | 2 +-
...ata-Engineers-How-to-Build-a-Simple-but-Solid-Data-Architecture.md | 2 +-
blog/How-We-Increased-Database-Query-Concurrency-by-20-Times.md | 2 +-
blog/Improving-Query-Speed-to-Make-the-Most-out-of-Your-Data.md | 2 +-
...lly-the-Latest-Check-the-Data-Update-Mechanism-of-Your-Database.md | 2 +-
blog/JD_OLAP.md | 2 +-
blog/LY.md | 2 +-
blog/Listen-to-That-Poor-BI-Engineer-We-Need-Fast-Joins.md | 2 +-
...st-15-Billion-Logs-Per-Day-and-Keep-Big-Queries-Within-1-Second.md | 2 +-
blog/NIO.md | 2 +-
blog/Netease.md | 2 +-
blog/Say-Goodbye-to-OOM-Crashes.md | 2 +-
...Step-by-step-Guide-to-Building-a-High-Performing-Risk-Data-Mart.md | 2 +-
...cent-Data-Engineers-Why-We-Went-from-ClickHouse-to-Apache-Doris.md | 2 +-
blog/Tencent-LLM.md | 2 +-
blog/Tiered-Storage-for-Hot-and-Cold-Data-What-Why-and-How.md | 2 +-
blog/Understanding-Data-Compaction-in-3-Minutes.md | 2 +-
blog/Use-Apache-Doris-with-AI-chatbots.md | 2 +-
...ng-up-the-Lambda-Architecture-for-40-Percent-Faster-Performance.md | 2 +-
...-2023-what-can-you-expect-from-apache-doris-as-a-data-warehouse.md | 2 +-
...ve-streaming-what-happens-in-real-time-is-analyzed-in-real-time.md | 2 +-
...g-lives-in-real-time-iov-data-analytics-helps-prevent-accidents.md | 2 +-
...tion-to-apache-doris-a-next-generation-real-time-data-warehouse.md | 2 +-
blog/jd.md | 2 +-
...mance-apache-doris-instead-of-clickhouse-mysql-presto-and-hbase.md | 4 ++--
blog/linkedcare.md | 2 +-
blog/log-analysis-elasticsearch-vs-apache-doris.md | 2 +-
blog/meituan.md | 2 +-
blog/migrating-from-clickhouse-to-apache-doris-what-happened.md | 2 +-
blog/principle-of-Doris-Stream-Load.md | 2 +-
blog/release-note-0.15.0.md | 2 +-
blog/release-note-1.0.0.md | 2 +-
blog/release-note-2.0.0.md | 2 +-
blog/ssb.md | 2 +-
blog/summit.md | 2 +-
blog/tpch.md | 2 +-
blog/xiaomi.md | 2 +-
blog/xiaomi_vector.md | 2 +-
47 files changed, 48 insertions(+), 48 deletions(-)
diff --git
a/blog/AB-Testing-was-a-Handful-Until-we-Found-the-Replacement-for-Druid.md
b/blog/AB-Testing-was-a-Handful-Until-we-Found-the-Replacement-for-Druid.md
index 5b00fb1e943..7360d3981be 100644
--- a/blog/AB-Testing-was-a-Handful-Until-we-Found-the-Replacement-for-Druid.md
+++ b/blog/AB-Testing-was-a-Handful-Until-we-Found-the-Replacement-for-Druid.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'A/B Testing was a Handful, Until we Found the Replacement for
Druid',
+ 'title': 'A/B Testing was a handful, until we found the replacement for
Druid',
'summary': "The recipe for successful A/B testing is quick computation, no
duplication, and no data loss. For that, we used Apache Flink and Apache Doris
to build our data platform.",
'date': '2023-06-01',
'author': 'Heyu Dou, Xinxin Wang',
diff --git a/blog/Annoucing.md b/blog/Annoucing.md
index 7ce634eb78d..f998fa7a55e 100644
--- a/blog/Annoucing.md
+++ b/blog/Annoucing.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Announcing Open Source Realtime Analytical database Apache Doris
as a Top-Level Project',
+ 'title': 'Announcing open source realtime analytical database Apache Doris
as a top-level project',
'summary': 'Apache Doris is a modern, high-performance and real-time
analytical database based on MPP. It is well known for its high-performance and
easy-to-use. It can return query results under massive data within only
sub-seconds. It can support not only high concurrent point query scenarios, but
also complex analysis scenarios with high throughput. Based on this, Apache
Doris can be well applied in many business fields, such as multi-dimensional
reporting, user portrait, ad-hoc q [...]
'date': '2022-06-16',
'author': 'morningman',
diff --git
a/blog/Auto-Synchronization-of-an-Entire-MySQL-Database-for-Data-Analysis.md
b/blog/Auto-Synchronization-of-an-Entire-MySQL-Database-for-Data-Analysis.md
index e15927c6512..833e35ea107 100644
--- a/blog/Auto-Synchronization-of-an-Entire-MySQL-Database-for-Data-Analysis.md
+++ b/blog/Auto-Synchronization-of-an-Entire-MySQL-Database-for-Data-Analysis.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Auto Synchronization of an Entire MySQL Database for Data
Analysis',
+ 'title': 'Auto synchronization of an entire MySQL database for data
analysis',
'summary': "Flink-Doris-Connector 1.4.0 allows users to ingest a whole
database (MySQL or Oracle) that contains thousands of tables into Apache Doris,
in one step.",
'date': '2023-08-16',
'author': 'Apache Doris',
diff --git a/blog/BestPractice_Kwai.md b/blog/BestPractice_Kwai.md
index 8b138d5e931..ff79bb5847d 100644
--- a/blog/BestPractice_Kwai.md
+++ b/blog/BestPractice_Kwai.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Best Practice in Kwai: Apache Doris on Elasticsearch',
+ 'title': 'Best practice in Kwai: Apache Doris on Elasticsearch',
'language': 'en',
'summary': "This article mainly focuses on the practice of Apache Doris on
Elasticsearch (DOE) in Kwai's business.Kwai’s commercial report engine provides
advertisers with real-time query service for multi-dimensional analysis
reports. And it also provides query service for multi-dimensional analysis
reports for internal users. The engine is committed to dealing with
high-performance, high-concurrency, and high-stability query problems in
multi-dimensional analysis report cases. Afte [...]
'date': '2022-12-14',
diff --git
a/blog/Building-A-Log-Analytics-Solution-10-Times-More-Cost-Effective-Than-Elasticsearch.md
b/blog/Building-A-Log-Analytics-Solution-10-Times-More-Cost-Effective-Than-Elasticsearch.md
index d26f743c127..8b7ece70a26 100644
---
a/blog/Building-A-Log-Analytics-Solution-10-Times-More-Cost-Effective-Than-Elasticsearch.md
+++
b/blog/Building-A-Log-Analytics-Solution-10-Times-More-Cost-Effective-Than-Elasticsearch.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Building A Log Analytics Solution 10 Times More Cost-Effective
Than Elasticsearch',
+ 'title': 'Building a log analytics solution 10 times more cost-effective
than Elasticsearch',
'summary': "Apache Doris has introduced inverted indexes in version 2.0.0
and further optimized it to realize two times faster log query performance than
Elasticsearch with 1/5 of the storage space it uses.",
'date': '2023-05-26',
'author': 'Apache Doris',
diff --git a/blog/Building-a-Data-Warehouse-for-Traditional-Industry.md
b/blog/Building-a-Data-Warehouse-for-Traditional-Industry.md
index 8b84a27d4a4..03352a62a46 100644
--- a/blog/Building-a-Data-Warehouse-for-Traditional-Industry.md
+++ b/blog/Building-a-Data-Warehouse-for-Traditional-Industry.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Building a Data Warehouse for Traditional Industry',
+ 'title': 'Building a data warehouse for traditional industry',
'summary': "The best component for you is the one that suits you most. In
Midland Realty, we don't have too much data to process but want a data platform
easy to use and maintain.",
'date': '2023-05-12',
'author': 'Herman Seah',
diff --git
a/blog/Building-the-Next-Generation-Data-Lakehouse-10X-Performance.md
b/blog/Building-the-Next-Generation-Data-Lakehouse-10X-Performance.md
index 7f26a7eba44..b12c6cf7076 100644
--- a/blog/Building-the-Next-Generation-Data-Lakehouse-10X-Performance.md
+++ b/blog/Building-the-Next-Generation-Data-Lakehouse-10X-Performance.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Building the Next-Generation Data Lakehouse: 10X Performance',
+ 'title': 'Building the next-generation data lakehouse: 10X performance',
'summary': "This article explains how to connect various data sources
quickly and ensure high query performance.",
'date': '2023-03-14',
'author': 'Apache Doris',
diff --git
a/blog/Choosing-an-OLAP-Engine-for-Financial-Risk-Management-What-to-Consider.md
b/blog/Choosing-an-OLAP-Engine-for-Financial-Risk-Management-What-to-Consider.md
index 3603ce0f723..13bc1e6d354 100644
---
a/blog/Choosing-an-OLAP-Engine-for-Financial-Risk-Management-What-to-Consider.md
+++
b/blog/Choosing-an-OLAP-Engine-for-Financial-Risk-Management-What-to-Consider.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Choosing an OLAP Engine for Financial Risk Management: What to
Consider?',
+ 'title': 'Choosing an OLAP engine for financial risk management: what to
consider?',
'summary': "This post provides reference for what you should take into
account when choosing an OLAP engine in a financial scenario.",
'date': '2023-08-17',
'author': 'Jianbo Liu',
diff --git a/blog/Database-Dissection-How-Fast-Data-Queries-Are-Implemented.md
b/blog/Database-Dissection-How-Fast-Data-Queries-Are-Implemented.md
index 54b2d4e0bb4..fc98db5f58e 100644
--- a/blog/Database-Dissection-How-Fast-Data-Queries-Are-Implemented.md
+++ b/blog/Database-Dissection-How-Fast-Data-Queries-Are-Implemented.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Database Dissection: How Fast Data Queries Are Implemented',
+ 'title': 'Database dissection: how fast data queries are implemented',
'summary': "What's more important than quick performance itself is the
architectural design and mechanism that enable it.",
'date': '2023-07-16',
'author': 'Rong Hou',
diff --git
a/blog/Database-in-Fintech-How-to-Support-ten-thousand-Dashboards-Without-Causing-a-Mess.md
b/blog/Database-in-Fintech-How-to-Support-ten-thousand-Dashboards-Without-Causing-a-Mess.md
index 07cadf15983..5b3fe7ed520 100644
---
a/blog/Database-in-Fintech-How-to-Support-ten-thousand-Dashboards-Without-Causing-a-Mess.md
+++
b/blog/Database-in-Fintech-How-to-Support-ten-thousand-Dashboards-Without-Causing-a-Mess.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Database in Fintech: How to Support 10,000 Dashboards Without
Causing a Mess',
+ 'title': 'Database in fintech: how to support 10,000 dashboards without
causing a mess',
'summary': "This article introduces the lifecycle of financial metrics in
a database, from how they're produced to how they're efficiently presented in
data reports.",
'date': '2023-08-05',
'author': 'Hou Lan',
diff --git
a/blog/For-Entry-Level-Data-Engineers-How-to-Build-a-Simple-but-Solid-Data-Architecture.md
b/blog/For-Entry-Level-Data-Engineers-How-to-Build-a-Simple-but-Solid-Data-Architecture.md
index d682110bc6f..75b88fa1eb3 100644
---
a/blog/For-Entry-Level-Data-Engineers-How-to-Build-a-Simple-but-Solid-Data-Architecture.md
+++
b/blog/For-Entry-Level-Data-Engineers-How-to-Build-a-Simple-but-Solid-Data-Architecture.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'For Entry-Level Data Engineers: How to Build a Simple but Solid
Data Architecture',
+ 'title': 'For entry-level data engineers: how to build a simple but solid
data architecture',
'summary': "This article aims to provide reference for non-tech companies
who are seeking to empower your business with data analytics.",
'date': '2023-07-31',
'author': 'Zhenwei Liu',
diff --git a/blog/How-We-Increased-Database-Query-Concurrency-by-20-Times.md
b/blog/How-We-Increased-Database-Query-Concurrency-by-20-Times.md
index 348a1dd1e82..b41b1930871 100644
--- a/blog/How-We-Increased-Database-Query-Concurrency-by-20-Times.md
+++ b/blog/How-We-Increased-Database-Query-Concurrency-by-20-Times.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'How We Increased Database Query Concurrency by 20 Times',
+ 'title': 'How We increased database query concurrency by 20 times',
'summary': 'In the upcoming Apache Doris 2.0, we have optimized it for
high-concurrency point queries. Long story short, it can achieve over 30,000
QPS for a single node.',
'date': '2023-04-14',
'author': 'Apache Doris',
diff --git a/blog/Improving-Query-Speed-to-Make-the-Most-out-of-Your-Data.md
b/blog/Improving-Query-Speed-to-Make-the-Most-out-of-Your-Data.md
index 0d7a64081fa..ac7fffd6602 100644
--- a/blog/Improving-Query-Speed-to-Make-the-Most-out-of-Your-Data.md
+++ b/blog/Improving-Query-Speed-to-Make-the-Most-out-of-Your-Data.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Best Practice in Duyansoft, Improving Query Speed to Make the
Most out of Your Data',
+ 'title': 'Best practice in Duyansoft, improving query speed to make the
most out of your data',
'summary': "This is about how Duyansoft improved its overall data
processing efficiency by optimizing the choice and usage of data warehouses.",
'date': '2023-02-27',
'author': 'Junfei Liu',
diff --git
a/blog/Is-Your-Latest-Data-Really-the-Latest-Check-the-Data-Update-Mechanism-of-Your-Database.md
b/blog/Is-Your-Latest-Data-Really-the-Latest-Check-the-Data-Update-Mechanism-of-Your-Database.md
index cb6f406e867..6e7bed6cfb3 100644
---
a/blog/Is-Your-Latest-Data-Really-the-Latest-Check-the-Data-Update-Mechanism-of-Your-Database.md
+++
b/blog/Is-Your-Latest-Data-Really-the-Latest-Check-the-Data-Update-Mechanism-of-Your-Database.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Is Your Latest Data Really the Latest? Check the Data Update
Mechanism of Your Database',
+ 'title': 'Is your latest data really the latest? check the data update
mechanism of your database',
'summary': "This is about how to support both row update and partial
column update in a database in a way that is simple in execution and efficient
in data quality guarantee.",
'date': '2023-07-24',
'author': 'Apache Doris',
diff --git a/blog/JD_OLAP.md b/blog/JD_OLAP.md
index b67f3083261..bb9bf30690e 100644
--- a/blog/JD_OLAP.md
+++ b/blog/JD_OLAP.md
@@ -1,6 +1,6 @@
---
{
- 'title': "JD.com's Exploration and Practice with Apache Doris in Realtime
OLAP",
+ 'title': "JD.com's exploration and practice with Apache Doris in real time
OLAP",
'summary': "This article discusses the exploration and practice of the
search engine team in JD.com using Apache Flink and Apache Doris in real-time
data analysis. The popularity of stream computing is increasing day by day:
More papers are published on Google Dataflow; Apache Flink has become the one
of the most popular engine in the world; There is wide application of real-time
analytical databases more than ever before, such as Apache Doris; Stream
computing engines are really fl [...]
'date': '2022-12-02',
'author': 'Li Zhe',
diff --git a/blog/LY.md b/blog/LY.md
index 9500260185b..87da0681746 100644
--- a/blog/LY.md
+++ b/blog/LY.md
@@ -1,6 +1,6 @@
---
{
- "title":"Best Practice: The Efficiency of the Data Warehouse Greatly
Improved in LY Digital",
+ "title": The Efficiency of the data warehouse greatly improved in LY
Digital",
"language": "en",
"summary" : "Established in 2015, LY Digital is a financial service
platform for tourism industry under LY. Com. In 2020, LY Digital introduced
Apache Doris to build a data warehouse because of its rich data import methods,
excellent parallel computing capabilities, and low maintenance costs. This
article describes the evolution of data warehouse in LY Digital and why we
switch to Apache Doris. ",
"date": "2022-12-19",
diff --git a/blog/Listen-to-That-Poor-BI-Engineer-We-Need-Fast-Joins.md
b/blog/Listen-to-That-Poor-BI-Engineer-We-Need-Fast-Joins.md
index 7d43fb4eab4..4e67311983a 100644
--- a/blog/Listen-to-That-Poor-BI-Engineer-We-Need-Fast-Joins.md
+++ b/blog/Listen-to-That-Poor-BI-Engineer-We-Need-Fast-Joins.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Listen to That Poor BI Engineer: We Need Fast Joins',
+ 'title': 'Listen to that poor BI engineer: we need fast joins',
'summary': "JOIN queries are always a hassle, but yes, you can expect fast
joins from a relational database. Read this and learn how.",
'date': '2023-07-10',
'author': 'Baoming Zhang',
diff --git
a/blog/Log-Analysis-How-to-Digest-15-Billion-Logs-Per-Day-and-Keep-Big-Queries-Within-1-Second.md
b/blog/Log-Analysis-How-to-Digest-15-Billion-Logs-Per-Day-and-Keep-Big-Queries-Within-1-Second.md
index cd47c6a3f91..d87b520abb2 100644
---
a/blog/Log-Analysis-How-to-Digest-15-Billion-Logs-Per-Day-and-Keep-Big-Queries-Within-1-Second.md
+++
b/blog/Log-Analysis-How-to-Digest-15-Billion-Logs-Per-Day-and-Keep-Big-Queries-Within-1-Second.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Log Analysis: How to Digest 15 Billion Logs Per Day and Keep Big
Queries Within 1 Second',
+ 'title': 'Log analysis: how to digest 15 billion logs per day and keep big
queries within 1 second',
'summary': "This article describes a large-scale data warehousing use case
to provide reference for data engineers who are looking for log analytic
solutions. It introduces the log processing architecture and real case practice
in data ingestion, storage, and queries.",
'date': '2023-09-16',
'author': 'Yuqi Liu',
diff --git a/blog/NIO.md b/blog/NIO.md
index 3591c6ee684..8d5b7efcf7a 100644
--- a/blog/NIO.md
+++ b/blog/NIO.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'The Application of Apache Doris in NIO',
+ 'title': 'The application of Apache Doris in NIO',
'summary': "NIO Inc. (NYSE: NIO)is a leading company in the premium smart
electric vehicle market. Founded in November 2014, NIO designs, develops,
jointly manufactures and sells premium smart electric vehicles, driving
innovations in autonomous driving, digital technologies, electric powertrains
and batteries.
Recently, NIO planned to enter the U.S. market alongside other western markets
by the end of 2025. The company has already established a U.S. headquarters in
San Jose, California, where they started hiring people..",
'date': '2022-11-28',
diff --git a/blog/Netease.md b/blog/Netease.md
index 5581d896e70..95e5988625a 100644
--- a/blog/Netease.md
+++ b/blog/Netease.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Apache Doris Helped Netease Create a Refined Operation DMP
System',
+ 'title': 'Apache Doris helped Netease create a refined operation DMP
system',
'summary': "Better data analysis enables users to get better experience.
Currently, the normal analysis method is to build a user tags system to
accurately generate user portraits and improve user experience. The topic we
shared today is the practice of Netease DMP tags system.",
'date': '2022-11-30',
'author': 'Xiaodong Liu',
diff --git a/blog/Say-Goodbye-to-OOM-Crashes.md
b/blog/Say-Goodbye-to-OOM-Crashes.md
index d7ec381b453..89cc3cac595 100644
--- a/blog/Say-Goodbye-to-OOM-Crashes.md
+++ b/blog/Say-Goodbye-to-OOM-Crashes.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Say Goodbye to OOM Crashes',
+ 'title': 'Say goodbye to OOM crashes',
'summary': "A more robust and flexible memory management solution with
optimizations in memory allocation, memory tracking, and memory limit.",
'date': '2023-06-16',
'author': 'Apache Doris',
diff --git
a/blog/Step-by-step-Guide-to-Building-a-High-Performing-Risk-Data-Mart.md
b/blog/Step-by-step-Guide-to-Building-a-High-Performing-Risk-Data-Mart.md
index 8aa15b79981..a00ace822ee 100644
--- a/blog/Step-by-step-Guide-to-Building-a-High-Performing-Risk-Data-Mart.md
+++ b/blog/Step-by-step-Guide-to-Building-a-High-Performing-Risk-Data-Mart.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Step-by-step Guide to Building a High-Performing Risk Data Mart',
+ 'title': 'Step-by-step guide to building a high-performing risk data mart',
'summary': 'The key step is to leverage the Multi Catalog feature of
Apache Doris to unify the heterogenous data sources. This removed a lot of our
performance bottlenecks.',
'date': '2023-04-20',
'author': 'Jacob Chow',
diff --git
a/blog/Tencent-Data-Engineers-Why-We-Went-from-ClickHouse-to-Apache-Doris.md
b/blog/Tencent-Data-Engineers-Why-We-Went-from-ClickHouse-to-Apache-Doris.md
index e93ab50fd45..828d15fa1b0 100644
--- a/blog/Tencent-Data-Engineers-Why-We-Went-from-ClickHouse-to-Apache-Doris.md
+++ b/blog/Tencent-Data-Engineers-Why-We-Went-from-ClickHouse-to-Apache-Doris.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Tencent Data Engineer: Why We Went from ClickHouse to Apache
Doris?',
+ 'title': 'Tencent data engineer: why we went from ClickHouse to Apache
Doris?',
'summary': "Evolution of the data processing architecture of Tencent Music
Entertainment towards better performance and simpler maintenance.",
'date': '2023-03-07',
'author': 'Jun Zhang & Kai Dai',
diff --git a/blog/Tencent-LLM.md b/blog/Tencent-LLM.md
index d8c39cb847c..9fd14fe9afa 100644
--- a/blog/Tencent-LLM.md
+++ b/blog/Tencent-LLM.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'LLM-Powered OLAP: the Tencent Experience with Apache Doris',
+ 'title': 'LLM-powered OLAP: the Tencent application with Apache Doris',
'summary': "The exploration of a LLM+OLAP solution is a bumpy journey, but
phew, it now works well for the Tencent case, and they're writing down every
lesson learned to share with you.",
'date': '2023-08-29',
'author': 'Jun Zhang & Lei Luo',
diff --git a/blog/Tiered-Storage-for-Hot-and-Cold-Data-What-Why-and-How.md
b/blog/Tiered-Storage-for-Hot-and-Cold-Data-What-Why-and-How.md
index 984110f0d45..10dbf39d147 100644
--- a/blog/Tiered-Storage-for-Hot-and-Cold-Data-What-Why-and-How.md
+++ b/blog/Tiered-Storage-for-Hot-and-Cold-Data-What-Why-and-How.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Tiered Storage for Hot and Cold Data: What, Why, and How?',
+ 'title': 'Tiered storage for hot and cold data: what, why, and how?',
'summary': "Hot data is the frequently accessed data, while cold data is
the one you seldom visit but still need. Separating them is for higher
efficiency in computation and storage.",
'date': '2023-06-23',
'author': 'Apache Doris',
diff --git a/blog/Understanding-Data-Compaction-in-3-Minutes.md
b/blog/Understanding-Data-Compaction-in-3-Minutes.md
index 0bfaccedc30..718c3b9e006 100644
--- a/blog/Understanding-Data-Compaction-in-3-Minutes.md
+++ b/blog/Understanding-Data-Compaction-in-3-Minutes.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Understanding Data Compaction in 3 Minutes',
+ 'title': 'Understanding data compaction in 3 minutes',
'summary': "Think of your disks as a warehouse: The compaction mechanism
is like a team of storekeepers who help put away the incoming data.",
'date': '2023-06-09',
'author': 'Apache Doris',
diff --git a/blog/Use-Apache-Doris-with-AI-chatbots.md
b/blog/Use-Apache-Doris-with-AI-chatbots.md
index af53293b174..18a43c8a148 100644
--- a/blog/Use-Apache-Doris-with-AI-chatbots.md
+++ b/blog/Use-Apache-Doris-with-AI-chatbots.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'How Does Apache Doris Help AISPEECH Build a Data Warehouse in AI
Chatbots Scenario',
+ 'title': 'How does Apache Doris help AISPEECH build a data warehouse in AI
chatbots scenario',
'summary': "Guide: In 2019, AISPEACH built a real-time and offline
datawarehouse based on Apache Doris. Reling on its flexible query model,
extremely low maintenance costs, high development efficiency, and excellent
query performance, Apache Doris has been used in many business scenarios such
as real-time business operations, AI chatbots analysis. It meets various data
analysis needs such as device portrait/user label, real-time operation, data
dashboard, self-service BI and financia [...]
'date': '2022-11-24',
'author': 'Zhao Wei',
diff --git
a/blog/Zipping-up-the-Lambda-Architecture-for-40-Percent-Faster-Performance.md
b/blog/Zipping-up-the-Lambda-Architecture-for-40-Percent-Faster-Performance.md
index d38a2f7902b..04c7514f9d2 100644
---
a/blog/Zipping-up-the-Lambda-Architecture-for-40-Percent-Faster-Performance.md
+++
b/blog/Zipping-up-the-Lambda-Architecture-for-40-Percent-Faster-Performance.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Zipping up the Lambda Architecture for 40% Faster Performance',
+ 'title': 'Zipping up the lambda architecture for 40% faster performance',
'summary': "Instead of pooling real-time and offline data after they are
fully ready for queries, Douyu engineers use Apache Doris to share part of the
pre-query computation burden.",
'date': '2023-05-05',
'author': 'Tongyang Han',
diff --git
a/blog/apache-doris-summit-asia-2023-what-can-you-expect-from-apache-doris-as-a-data-warehouse.md
b/blog/apache-doris-summit-asia-2023-what-can-you-expect-from-apache-doris-as-a-data-warehouse.md
index 47b345c8146..f80d49bd738 100644
---
a/blog/apache-doris-summit-asia-2023-what-can-you-expect-from-apache-doris-as-a-data-warehouse.md
+++
b/blog/apache-doris-summit-asia-2023-what-can-you-expect-from-apache-doris-as-a-data-warehouse.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Apache Doris Summit Asia 2023: What Can You Expect From Apache
Doris as a Data Warehouse?',
+ 'title': 'Apache Doris Summit Asia 2023: what can you expect from apache
doris as a data warehouse?',
'summary': "The past year marks a breakthrough of Apache Doris, an
open-source real-time data warehouse that has just undergone an overall upgrade
after long consistent incremental optimizations.",
'date': '2023-11-10',
'author': 'Apache Doris',
diff --git
a/blog/data-analysis-for-live-streaming-what-happens-in-real-time-is-analyzed-in-real-time.md
b/blog/data-analysis-for-live-streaming-what-happens-in-real-time-is-analyzed-in-real-time.md
index 0ead2920ef8..7c2ac870c48 100644
---
a/blog/data-analysis-for-live-streaming-what-happens-in-real-time-is-analyzed-in-real-time.md
+++
b/blog/data-analysis-for-live-streaming-what-happens-in-real-time-is-analyzed-in-real-time.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Data Analysis for Live Streaming: What Happens in Real Time is
Analyzed in Real Time',
+ 'title': 'Data analysis for live streaming: what happens in real time is
analyzed in real time',
'summary': "As live streaming emerges as a way of doing business, the need
for data analysis follows up. This post is about how a live streaming service
provider with 800 million end users found the right database to support its
analytic solution.",
'date': '2023-10-30',
'author': 'He Gong',
diff --git
a/blog/how-big-data-is-saving-lives-in-real-time-iov-data-analytics-helps-prevent-accidents.md
b/blog/how-big-data-is-saving-lives-in-real-time-iov-data-analytics-helps-prevent-accidents.md
index 26e235ae9af..28799b08a5f 100644
---
a/blog/how-big-data-is-saving-lives-in-real-time-iov-data-analytics-helps-prevent-accidents.md
+++
b/blog/how-big-data-is-saving-lives-in-real-time-iov-data-analytics-helps-prevent-accidents.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'How Big Data Is Saving Lives in Real Time: IoV Data Analytics
Helps Prevent Accidents',
+ 'title': 'How big data is saving lives in real time: IoV data analytics
helps prevent accidents',
'summary': "What needs to be taken care of in IoV data analysis? What's
the difference between a near real-time analytic data platform and an actual
real-time analytic data platform?",
'date': '2023-11-29',
'author': 'Apache Doris',
diff --git
a/blog/introduction-to-apache-doris-a-next-generation-real-time-data-warehouse.md
b/blog/introduction-to-apache-doris-a-next-generation-real-time-data-warehouse.md
index f74e58834d4..176f42ffc22 100644
---
a/blog/introduction-to-apache-doris-a-next-generation-real-time-data-warehouse.md
+++
b/blog/introduction-to-apache-doris-a-next-generation-real-time-data-warehouse.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Introduction to Apache Doris: A Next-Generation Real-Time Data
Warehouse',
+ 'title': 'Introduction to Apache Doris: a next-generation real-time data
warehouse',
'summary': "This is a technical overview of Apache Doris, introducing how
it enables fast query performance with its architectural design, features, and
mechanisms.",
'date': '2023-10-03',
'author': 'Apache Doris',
diff --git a/blog/jd.md b/blog/jd.md
index 9a953c95f30..5d87c256e80 100644
--- a/blog/jd.md
+++ b/blog/jd.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Best Practice of Apache Doris in JD',
+ 'title': 'Best practice of Apache Doris in JD',
'summary': "This paper mainly discusses how to use Doris for business
exploration and practice in the multi-dimensional analysis of real-time and
offline data in the large real-time screen of JD customer service in the
scenarios of manual consultation, customer event list, after-sales service
list, etc.",
'date': '2022-07-20',
'author': 'Apache Doris',
diff --git
a/blog/less-components-higher-performance-apache-doris-instead-of-clickhouse-mysql-presto-and-hbase.md
b/blog/less-components-higher-performance-apache-doris-instead-of-clickhouse-mysql-presto-and-hbase.md
index 0ce5fd0ef5f..445155919a0 100644
---
a/blog/less-components-higher-performance-apache-doris-instead-of-clickhouse-mysql-presto-and-hbase.md
+++
b/blog/less-components-higher-performance-apache-doris-instead-of-clickhouse-mysql-presto-and-hbase.md
@@ -1,9 +1,9 @@
---
{
- 'title': 'Less Components, Higher Performance: Apache Doris Instead of
ClickHouse, MySQL, Presto, and HBase',
+ 'title': 'Less components, higher performance: Apache Doris instead of
ClickHouse, MySQL, Presto, and HBase',
'summary': "This post is about building a unified OLAP platform. An
insurance company tries to build a data warehouse that can undertake all their
customer-facing, analyst-facing, and management-facing data analysis
workloads.",
'date': '2023-11-22',
- 'author': 'Big Data Platform R&D Team of CIGNA&CMB',
+ 'author': 'CIGNA & CMB',
'tags': ['Best Practice'],
}
diff --git a/blog/linkedcare.md b/blog/linkedcare.md
index f648ac1510f..575f1d8053d 100644
--- a/blog/linkedcare.md
+++ b/blog/linkedcare.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'ClickHouse & Kudu to Doris: 10X Concurrency Increased, 70%
Latency Down',
+ 'title': 'ClickHouse & Kudu to Doris: 10X concurrency increased, 70%
latency down',
'language': 'en',
'summary': 'The value-added report provided by Linkedcare to customers was
initially provided by ClickHouse, which was later replaced by Apache Doris',
'date': '2023-01-28',
diff --git a/blog/log-analysis-elasticsearch-vs-apache-doris.md
b/blog/log-analysis-elasticsearch-vs-apache-doris.md
index 28c57378f85..e0a6668d82e 100644
--- a/blog/log-analysis-elasticsearch-vs-apache-doris.md
+++ b/blog/log-analysis-elasticsearch-vs-apache-doris.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Log Analysis: Elasticsearch VS Apache Doris',
+ 'title': 'Log analysis: Elasticsearch vs Apache Doris',
'summary': "As a major part of a company's data asset, logs brings values
to businesses in three aspects: system observability, cyber security, and data
analysis. They are your first resort for troubleshooting, your reference for
improving system security, and your data mine where you can extract information
that points to business growth.",
'date': '2023-09-28',
'author': 'Apache Doris',
diff --git a/blog/meituan.md b/blog/meituan.md
index 7d13cd20ea9..adcf4ecac69 100644
--- a/blog/meituan.md
+++ b/blog/meituan.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Best Practice of Apache Doris in Meituan',
+ 'title': 'Best practice of Apache Doris in Meituan',
'summary': "Introduction: This paper mainly introduces a general method
and practice of real-time data warehouse construction. The real-time data
warehouse aims at end-to-end low latency, SQL standardization, rapid response
to changes, and data unification. In practice, the best practice we summarize
is: a common real-time production platform + a common interactive real-time
analysis engine cooperate with each other to meet real-time and quasi-real-time
business scenarios. The two ha [...]
'date': '2022-07-20',
'author': 'Apache Doris',
diff --git a/blog/migrating-from-clickhouse-to-apache-doris-what-happened.md
b/blog/migrating-from-clickhouse-to-apache-doris-what-happened.md
index d5e63c95caf..effb5a38946 100644
--- a/blog/migrating-from-clickhouse-to-apache-doris-what-happened.md
+++ b/blog/migrating-from-clickhouse-to-apache-doris-what-happened.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Migrating from ClickHouse to Apache Doris: What Happened?',
+ 'title': 'Migrating from ClickHouse to Apache Doris: what happened?',
'summary': "A user of Apache Doris has written down their migration
process from ClickHouse to Doris, including why they need the change, what
needs to be taken care of, and how they compare the performance of the two
databases in their environment. ",
'date': '2023-10-11',
'author': 'Chuang Li',
diff --git a/blog/principle-of-Doris-Stream-Load.md
b/blog/principle-of-Doris-Stream-Load.md
index 7c37fcec8bb..65127799be6 100644
--- a/blog/principle-of-Doris-Stream-Load.md
+++ b/blog/principle-of-Doris-Stream-Load.md
@@ -1,6 +1,6 @@
---
{
-'title': 'Doris Stream Load Principle Analysis',
+'title': 'Doris stream load principle analysis',
'summary': "Stream Load, one of the most commonly used data import methods for
Doris users, is a synchronous import method. It allows users to import data
into Doris in batch through HTTP access and returns the results of data
import.",
'date': '2022-09-08',
'author': 'Apache Doris',
diff --git a/blog/release-note-0.15.0.md b/blog/release-note-0.15.0.md
index 6fbf04f8d5c..cafb40df866 100644
--- a/blog/release-note-0.15.0.md
+++ b/blog/release-note-0.15.0.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Apache Doris(Incubating) annoucned 0.15.0 Release',
+ 'title': 'Apache Doris(Incubating) annoucned 0.15.0 release',
'summary': “Dear Community, we are pleased to announce the release of
Apache Doris(Incubating) on November 29, 2021! Nearly 700 optimizations and
fixes have been submitted by 99 contributors to Apache Doris, and we'd like to
express our sincere gratitude to all of them!”,
'date': '2021-11-29',
'author': 'Apache Doris',
diff --git a/blog/release-note-1.0.0.md b/blog/release-note-1.0.0.md
index 0825546a47b..c35933d4f0e 100644
--- a/blog/release-note-1.0.0.md
+++ b/blog/release-note-1.0.0.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Apache Doris(Incubating) announced 1.0.0 Release',
+ 'title': 'Apache Doris(Incubating) announced 1.0.0 release',
'summary': 'Dear community friends, we are happy to announce that Apache
Doris (incubating) has officially released the 1.0 Release version on April 18,
2022!',
'date': '2022-04-18',
'author': 'Apache Doris',
diff --git a/blog/release-note-2.0.0.md b/blog/release-note-2.0.0.md
index 626f2ba7f50..c30f2a25cfc 100644
--- a/blog/release-note-2.0.0.md
+++ b/blog/release-note-2.0.0.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Apache Doris announced the official release of version 2.0.0',
+ 'title': 'New milestone: Apache Doris 2.0.0 just released',
'summary': 'Dear community, we are excited to announce that Apache Doris
2.0.0 is now production-ready on August 16, 2023',
'date': '2023-08-16',
'author': 'Apache Doris',
diff --git a/blog/ssb.md b/blog/ssb.md
index 79b171a1b2a..9689cb36c95 100644
--- a/blog/ssb.md
+++ b/blog/ssb.md
@@ -1,6 +1,6 @@
---
{
- 'title': "Apache Doris 1.2 Star-Schema-Benchmark Performance Test Report",
+ 'title': "Apache Doris 1.2 star-schema-benchmark performance test report",
'summary': "On the SSB flat wide table, the overall performance of Apache
Doris 1.2.0-rc01 has been improved by nearly 4 times compared with Apache Doris
1.1.3, and nearly 10 times compared with Apache Doris 0.15.0 RC04. On the SQL
test with standard SSB, the overall performance of Apache Doris 1.2.0-rc01 has
been improved by nearly 2 times compared with Apache Doris 1.1.3, and nearly 31
times compared with Apache Doris 0.15.0 RC04.",
'date': '2022-11-22',
'author': 'Apache Doris',
diff --git a/blog/summit.md b/blog/summit.md
index 812e7dc2304..8c89a36c8ed 100644
--- a/blog/summit.md
+++ b/blog/summit.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'A Glimpse of the Next-generation Analytical Database',
+ 'title': 'A glimpse of the next-generation analytical database',
'language': 'en',
'summary': "My name is Mingyu Chen and I am the PMC Chair of the Apache
Doris.In this lecture, you will go through the development of Doris in 2022 and
look into the new trends that Doris is exploring in 2023.",
'date': '2023-01-19',
diff --git a/blog/tpch.md b/blog/tpch.md
index d37a05647ad..4fc18095b0f 100644
--- a/blog/tpch.md
+++ b/blog/tpch.md
@@ -1,6 +1,6 @@
---
{
- 'title': "Apache Doris 1.2 TPC-H Performance Test Report",
+ 'title': "Apache Doris 1.2 TPC-H performance test report",
'summary': "On 22 queries on the TPC-H standard test data set, we
conducted a comparison test based on Apache Doris 1.2.0-rc01, Apache Doris
1.1.3 and Apache Doris 0.15.0 RC04 versions. Compared with Apache Doris 1.1.3,
the overall performance of Apache Doris 1.2.0-rc01 has been improved by nearly
3 times, and by nearly 11 times compared with Apache Doris 0.15.0 RC04.",
'date': '2022-11-22',
'author': 'Apache Doris',
diff --git a/blog/xiaomi.md b/blog/xiaomi.md
index 48efaa19886..219d6eebc8e 100644
--- a/blog/xiaomi.md
+++ b/blog/xiaomi.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Best Practice of Apache Doris in Xiaomi Group',
+ 'title': 'Best practice of Apache Doris in Xiaomi Group',
'summary': "In order to improve the query performance of the Xiaomi growth
analysis platform and reduce the operation and maintenance costs, Xiaomi Group
introduced Apache Doris in September 2019. In the past two and a half years,
**Apache Doris has been widely used in Xiaomi Group,** **such as business
growth analytic platform, realtime dashboards for all business groups, finance
analysis, user profile analysis, advertising reports, A/B testing platform and
so on.** This article wi [...]
'date': '2022-07-20',
'author': 'Apache Doris',
diff --git a/blog/xiaomi_vector.md b/blog/xiaomi_vector.md
index 00838179f99..e8bc45f6566 100644
--- a/blog/xiaomi_vector.md
+++ b/blog/xiaomi_vector.md
@@ -1,6 +1,6 @@
---
{
- 'title': 'Practice and Optimization of Apache Doris in Xiaomi',
+ 'title': 'Practice and optimization of Apache Doris in Xiaomi',
'summary': "Xiaomi Group introduced Apache Doris in 2019. At present,
Apache Doris has been widely used in dozens of business departments within
Xiaomi. A set of data ecology with Apache Doris has been formed. This article
is transcribed from an online meetup speech of the Doris community, aiming to
share the practice of Apache Doris in Xiaomi.",
'date': '2022-12-08',
'author': 'ZuoWei',
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