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src/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_apache.md

@@ -19,7 +19,7 @@
 
 -->
 
-# Operate Metadata
+# Timeseries Management
 
 ## Database Management
 

src/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_timecho.md

@@ -19,7 +19,7 @@
 
 -->
 
-# Operate Metadata
+# Timeseries Management
 
 ## Database Management
 

src/UserGuide/Master/Tree/QuickStart/QuickStart_apache.md

@@ -48,11 +48,11 @@ This document will help you quickly install and deploy IoTDB. You can quickly lo
 
    - Introduction to Modeling Design: [Data Model](../Basic-Concept/Data-Model-and-Terminology.md)
 
-   - SQL syntax introduction: [Operate Metadata](../User-Manual/Operate-Metadata_apache.md)
+   - SQL syntax introduction: [Operate Metadata](../Basic-Concept/Operate-Metadata_apache.md)
 
-2. Write Data: In terms of data writing, IoTDB provides multiple ways to insert real-time data. Please refer to the basic data writing operations for details [Write Data](../User-Manual/Write-Delete-Data.md)
+2. Write Data: In terms of data writing, IoTDB provides multiple ways to insert real-time data. Please refer to the basic data writing operations for details [Write Data](../Basic-Concept/Write-Delete-Data.md)
 
-3. Query Data: IoTDB provides rich data query functions. Please refer to the basic introduction of data query [Query Data](../User-Manual/Query-Data.md)
+3. Query Data: IoTDB provides rich data query functions. Please refer to the basic introduction of data query [Query Data](../Basic-Concept/Query-Data.md)
 
 4. Other advanced features: In addition to common functions such as writing and querying in databases, IoTDB also supports "Data Synchronisation、Stream Framework、Database Administration " and other functions, specific usage methods can be found in the specific document:
 
@@ -74,6 +74,16 @@ In addition to its rich features, IoTDB also has a comprehensive range of tools
 
    - Data Export Script: For different scenarios, IoTDB provides users with multiple ways to batch export data. For specific usage instructions, please refer to: [Data Export](../Tools-System/Data-Export-Tool.md)
 
+## Want to Learn More About the Technical Details?
+
+If you are interested in delving deeper into the technical aspects of IoTDB, you can refer to the following documents:
+
+   - Publication: IoTDB features columnar storage, data encoding, pre-calculation, and indexing technologies, along with a SQL-like interface and high-performance data processing capabilities. It also integrates seamlessly with Apache Hadoop, MapReduce, and Apache Spark. For related research papers, please refer to: [Publication](../Technical-Insider/Publication.md)
+
+   - Encoding & Compression: IoTDB optimizes storage efficiency for different data types through a variety of encoding and compression techniques. To learn more,  please refer to:[Encoding & Compression](../Technical-Insider/Encoding-and-Compression.md)
+
+   - Data Partitioning and Load Balancing:  IoTDB has meticulously designed data partitioning strategies and load balancing algorithms based on the characteristics of time series data, enhancing the availability and performance of the cluster. For more information,  please refer to: [Data Partitioning and Load Balancing](../Technical-Insider/Cluster-data-partitioning.md)
+
 
 ## Encountering problems during use?
 

src/UserGuide/Master/Tree/QuickStart/QuickStart_timecho.md

@@ -56,19 +56,19 @@ This document will help you quickly install and deploy IoTDB. You can quickly lo
 
    - Introduction to Modeling Design: [Data Model](../Basic-Concept/Data-Model-and-Terminology.md)
 
-   - SQL syntax introduction：[Operate Metadata](../User-Manual/Operate-Metadata_timecho.md)
+   - SQL syntax introduction：[Operate Metadata](../Basic-Concept/Operate-Metadata_timecho.md)
 
-2. Write Data: In terms of data writing, IoTDB provides multiple ways to insert real-time data. Please refer to the basic data writing operations for details [Write Data](../User-Manual/Write-Delete-Data.md)
+2. Write Data: In terms of data writing, IoTDB provides multiple ways to insert real-time data. Please refer to the basic data writing operations for details [Write Data](../Basic-Concept/Write-Delete-Data.md)
 
-3. Query Data: IoTDB provides rich data query functions. Please refer to the basic introduction of data query [Query Data](../User-Manual/Query-Data.md)
+3. Query Data: IoTDB provides rich data query functions. Please refer to the basic introduction of data query [Query Data](../Basic-Concept/Query-Data.md)
 
 4. Other advanced features: In addition to common functions such as writing and querying in databases, IoTDB also supports "Data Synchronisation、Stream Framework、Security Management、Database Administration、AI Capability"and other functions, specific usage methods can be found in the specific document:
 
    - Data Synchronisation: [Data Synchronisation](../User-Manual/Data-Sync_timecho.md)
 
    - Stream Framework: [Stream Framework](../User-Manual/Streaming_timecho.md)
 
-   - Security Management: [Security Management](../User-Manual/Security-Management_timecho.md)
+   - Security Management: [Security Management](../User-Manual/White-List_timecho.md)
 
    - Database Administration: [Database Administration](../User-Manual/Authority-Management.md)
 
@@ -80,12 +80,26 @@ This document will help you quickly install and deploy IoTDB. You can quickly lo
 
 In addition to its rich features, IoTDB also has a comprehensive range of tools in its surrounding system. This document will help you quickly use the peripheral tool system :
 
+   - Workbench: Workbench is a visual interface for IoTDB that supports interactive operations. It offers intuitive features for metadata management, data querying, and data visualization, enhancing the convenience and efficiency of user database operations. For detailed usage instructions, please refer to:   [Workbench](../Deployment-and-Maintenance/workbench-deployment.md)
+
+   - Monitor Tool: This is a tool for meticulous monitoring of IoTDB and its host operating system, covering hundreds of database monitoring metrics including database performance and system resources, which aids in system optimization and bottleneck identification. For detailed usage instructions, please refer to:  [Monitor Tool](../Deployment-and-Maintenance/Monitoring-panel-deployment.md)
+
    - Benchmark Tool: IoT benchmark is a time series database benchmark testing tool developed based on Java and big data environments, developed and open sourced by the School of Software at Tsinghua University. It supports multiple writing and querying methods, can store test information and results for further query or analysis, and supports integration with Tableau to visualize test results. For specific usage instructions, please refer to: [Benchmark Tool](../Tools-System/Benchmark.md)
 
    - Data Import Script: For different scenarios, IoTDB provides users with multiple ways to batch import data. For specific usage instructions, please refer to: [Data Import](../Tools-System/Data-Import-Tool.md)
 
    - Data Export Script: For different scenarios, IoTDB provides users with multiple ways to batch export data. For specific usage instructions, please refer to: [Data Export](../Tools-System/Data-Export-Tool.md)
 
+## Want to Learn More About the Technical Details?
+
+If you are interested in delving deeper into the technical aspects of IoTDB, you can refer to the following documents:
+
+   - Research Paper: IoTDB features columnar storage, data encoding, pre-calculation, and indexing technologies, along with a SQL-like interface and high-performance data processing capabilities. It also integrates seamlessly with Apache Hadoop, MapReduce, and Apache Spark. For related research papers, please refer to: [Research Paper](../Technical-Insider/Publication.md)
+
+   - Compression & Encoding: IoTDB optimizes storage efficiency for different data types through a variety of encoding and compression techniques. To learn more,  please refer to:[Compression & Encoding](../Technical-Insider/Encoding-and-Compression.md)
+
+   - Data Partitioning and Load Balancing:  IoTDB has meticulously designed data partitioning strategies and load balancing algorithms based on the characteristics of time series data, enhancing the availability and performance of the cluster. For more information,  please refer to: [Data Partitionin & Load Balancing](../Technical-Insider/Cluster-data-partitioning.md)
+
 
 ## Encountering problems during use?
 

src/UserGuide/latest/Basic-Concept/Operate-Metadata_apache.md

@@ -19,7 +19,7 @@
 
 -->
 
-# Operate Metadata
+# Timeseries Management
 
 ## Database Management
 

src/UserGuide/latest/Basic-Concept/Operate-Metadata_timecho.md

@@ -19,7 +19,7 @@
 
 -->
 
-# Operate Metadata
+# Timeseries Management
 
 ## Database Management
 

src/UserGuide/latest/QuickStart/QuickStart_apache.md

@@ -48,11 +48,11 @@ This document will help you quickly install and deploy IoTDB. You can quickly lo
 
    - Introduction to Modeling Design: [Data Model](../Basic-Concept/Data-Model-and-Terminology.md)
 
-   - SQL syntax introduction: [Operate Metadata](../User-Manual/Operate-Metadata_apache.md)
+   - SQL syntax introduction: [Operate Metadata](../Basic-Concept/Operate-Metadata_apache.md)
 
-2. Write Data: In terms of data writing, IoTDB provides multiple ways to insert real-time data. Please refer to the basic data writing operations for details [Write Data](../User-Manual/Write-Delete-Data.md)
+2. Write Data: In terms of data writing, IoTDB provides multiple ways to insert real-time data. Please refer to the basic data writing operations for details [Write Data](../Basic-Concept/Write-Delete-Data.md)
 
-3. Query Data: IoTDB provides rich data query functions. Please refer to the basic introduction of data query [Query Data](../User-Manual/Query-Data.md)
+3. Query Data: IoTDB provides rich data query functions. Please refer to the basic introduction of data query [Query Data](../Basic-Concept/Query-Data.md)
 
 4. Other advanced features: In addition to common functions such as writing and querying in databases, IoTDB also supports "Data Synchronisation、Stream Framework、Database Administration " and other functions, specific usage methods can be found in the specific document:
 
@@ -74,6 +74,16 @@ In addition to its rich features, IoTDB also has a comprehensive range of tools
 
    - Data Export Script: For different scenarios, IoTDB provides users with multiple ways to batch export data. For specific usage instructions, please refer to: [Data Export](../Tools-System/Data-Export-Tool.md)
 
+## Want to Learn More About the Technical Details?
+
+If you are interested in delving deeper into the technical aspects of IoTDB, you can refer to the following documents:
+
+   - Publication: IoTDB features columnar storage, data encoding, pre-calculation, and indexing technologies, along with a SQL-like interface and high-performance data processing capabilities. It also integrates seamlessly with Apache Hadoop, MapReduce, and Apache Spark. For related research papers, please refer to: [Publication](../Technical-Insider/Publication.md)
+
+   - Encoding & Compression: IoTDB optimizes storage efficiency for different data types through a variety of encoding and compression techniques. To learn more,  please refer to:[Encoding & Compression](../Technical-Insider/Encoding-and-Compression.md)
+
+   - Data Partitioning and Load Balancing:  IoTDB has meticulously designed data partitioning strategies and load balancing algorithms based on the characteristics of time series data, enhancing the availability and performance of the cluster. For more information,  please refer to: [Data Partitioning and Load Balancing](../Technical-Insider/Cluster-data-partitioning.md)
+
 
 ## Encountering problems during use?
 

src/UserGuide/latest/QuickStart/QuickStart_timecho.md

@@ -56,19 +56,19 @@ This document will help you quickly install and deploy IoTDB. You can quickly lo
 
    - Introduction to Modeling Design: [Data Model](../Basic-Concept/Data-Model-and-Terminology.md)
 
-   - SQL syntax introduction：[Operate Metadata](../User-Manual/Operate-Metadata_timecho.md)
+   - SQL syntax introduction：[Operate Metadata](../Basic-Concept/Operate-Metadata_timecho.md)
 
-2. Write Data: In terms of data writing, IoTDB provides multiple ways to insert real-time data. Please refer to the basic data writing operations for details [Write Data](../User-Manual/Write-Delete-Data.md)
+2. Write Data: In terms of data writing, IoTDB provides multiple ways to insert real-time data. Please refer to the basic data writing operations for details [Write Data](../Basic-Concept/Write-Delete-Data.md)
 
-3. Query Data: IoTDB provides rich data query functions. Please refer to the basic introduction of data query [Query Data](../User-Manual/Query-Data.md)
+3. Query Data: IoTDB provides rich data query functions. Please refer to the basic introduction of data query [Query Data](../Basic-Concept/Query-Data.md)
 
 4. Other advanced features: In addition to common functions such as writing and querying in databases, IoTDB also supports "Data Synchronisation、Stream Framework、Security Management、Database Administration、AI Capability"and other functions, specific usage methods can be found in the specific document:
 
    - Data Synchronisation: [Data Synchronisation](../User-Manual/Data-Sync_timecho.md)
 
    - Stream Framework: [Stream Framework](../User-Manual/Streaming_timecho.md)
 
-   - Security Management: [Security Management](../User-Manual/Security-Management_timecho.md)
+   - Security Management: [Security Management](../User-Manual/White-List_timecho.md)
 
    - Database Administration: [Database Administration](../User-Manual/Authority-Management.md)
 
@@ -80,12 +80,26 @@ This document will help you quickly install and deploy IoTDB. You can quickly lo
 
 In addition to its rich features, IoTDB also has a comprehensive range of tools in its surrounding system. This document will help you quickly use the peripheral tool system :
 
+   - Workbench: Workbench is a visual interface for IoTDB that supports interactive operations. It offers intuitive features for metadata management, data querying, and data visualization, enhancing the convenience and efficiency of user database operations. For detailed usage instructions, please refer to:   [Workbench](../Deployment-and-Maintenance/workbench-deployment.md)
+
+   - Monitor Tool: This is a tool for meticulous monitoring of IoTDB and its host operating system, covering hundreds of database monitoring metrics including database performance and system resources, which aids in system optimization and bottleneck identification. For detailed usage instructions, please refer to:  [Monitor Tool](../Deployment-and-Maintenance/Monitoring-panel-deployment.md)
+
    - Benchmark Tool: IoT benchmark is a time series database benchmark testing tool developed based on Java and big data environments, developed and open sourced by the School of Software at Tsinghua University. It supports multiple writing and querying methods, can store test information and results for further query or analysis, and supports integration with Tableau to visualize test results. For specific usage instructions, please refer to: [Benchmark Tool](../Tools-System/Benchmark.md)
 
    - Data Import Script: For different scenarios, IoTDB provides users with multiple ways to batch import data. For specific usage instructions, please refer to: [Data Import](../Tools-System/Data-Import-Tool.md)
 
    - Data Export Script: For different scenarios, IoTDB provides users with multiple ways to batch export data. For specific usage instructions, please refer to: [Data Export](../Tools-System/Data-Export-Tool.md)
 
+## Want to Learn More About the Technical Details?
+
+If you are interested in delving deeper into the technical aspects of IoTDB, you can refer to the following documents:
+
+   - Research Paper: IoTDB features columnar storage, data encoding, pre-calculation, and indexing technologies, along with a SQL-like interface and high-performance data processing capabilities. It also integrates seamlessly with Apache Hadoop, MapReduce, and Apache Spark. For related research papers, please refer to: [Research Paper](../Technical-Insider/Publication.md)
+
+   - Compression & Encoding: IoTDB optimizes storage efficiency for different data types through a variety of encoding and compression techniques. To learn more,  please refer to:[Compression & Encoding](../Technical-Insider/Encoding-and-Compression.md)
+
+   - Data Partitioning and Load Balancing:  IoTDB has meticulously designed data partitioning strategies and load balancing algorithms based on the characteristics of time series data, enhancing the availability and performance of the cluster. For more information,  please refer to: [Data Partitionin & Load Balancing](../Technical-Insider/Cluster-data-partitioning.md)
+
 
 ## Encountering problems during use?
 

src/zh/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_apache.md

@@ -19,7 +19,8 @@
 
 -->
 
-# 元数据操作
+# 测点管理 
+
 ## 数据库管理
 
 数据库（Database）可以被视为关系数据库中的Database。

src/zh/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_timecho.md

@@ -19,7 +19,8 @@
 
 -->
 
-# 元数据管理
+# 测点管理 
+
 ## 数据库管理
 
 数据库（Database）可以被视为关系数据库中的Database。

src/zh/UserGuide/Master/Tree/QuickStart/QuickStart_apache.md

@@ -49,11 +49,11 @@
 
    - 建模设计介绍：[数据模型介绍](../Basic-Concept/Data-Model-and-Terminology.md)
 
-   - SQL 语法介绍：[SQL 语法介绍](../User-Manual/Operate-Metadata_apache.md)
+   - SQL 语法介绍：[SQL 语法介绍](../Basic-Concept/Operate-Metadata_apache.md)
 
-2. 数据写入：在数据写入方面，IoTDB 提供了多种方式来插入实时数据，基本的数据写入操作请查看 [数据写入](../User-Manual/Write-Delete-Data.md)
+2. 数据写入：在数据写入方面，IoTDB 提供了多种方式来插入实时数据，基本的数据写入操作请查看 [数据写入](../Basic-Concept/Write-Delete-Data.md)
 
-3. 数据查询：IoTDB 提供了丰富的数据查询功能，数据查询的基本介绍请查看 [数据查询](../User-Manual/Query-Data.md)
+3. 数据查询：IoTDB 提供了丰富的数据查询功能，数据查询的基本介绍请查看 [数据查询](../Basic-Concept/Query-Data.md)
 
 4. 其他进阶功能：除了数据库常见的写入、查询等功能外，IoTDB 还支持“数据同步、流处理框架、权限管理”等功能，具体使用方法可参见具体文档：
 
@@ -76,6 +76,16 @@ IoTDB 除了自身拥有丰富的功能外，其周边的工具体系包含的
 
    - 数据导出脚本：针对于不同场景，IoTDB 为用户提供多种批量导出数据的操作方式，具体使用介绍请查看：[数据导出](../Tools-System/Data-Export-Tool.md)
 
+## 想了解更多技术细节？
+
+如果您想了解 IoTDB 的更多技术内幕，可以移步至下面的文档：
+
+   - 研究论文：IoTDB 具有列式存储、数据编码、预计算和索引技术，以及其类 SQL 接口和高性能数据处理能力，同时与 Apache Hadoop、MapReduce 和 Apache Spark 无缝集成。相关研究论文请查看 [研究论文](../Technical-Insider/Publication.md)
+
+   - 压缩&编码：IoTDB 通过多样化的编码和压缩技术，针对不同数据类型优化存储效率，想了解更多请查看 [压缩&编码](../Technical-Insider/Encoding-and-Compression.md)
+
+   - 数据分区和负载均衡：IoTDB 基于时序数据特性，精心设计了数据分区策略和负载均衡算法，提升了集群的可用性和性能，想了解更多请查看 [数据分区和负载均衡](../Technical-Insider/Cluster-data-partitioning.md)
+
 ## 使用过程中遇到问题？
 
 如果您在安装或使用过程中遇到困难，可以移步至 [常见问题](../FAQ/Frequently-asked-questions.md) 中进行查看