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1 change: 1 addition & 0 deletions src/.vuepress/sidebar/V2.0.x/en-Table.ts
Original file line number Diff line number Diff line change
Expand Up @@ -164,6 +164,7 @@ export const enSidebar = {
collapsible: true,
prefix: 'Ecosystem-Integration/',
children: [
{ text: 'Overview', link: 'Ecosystem-Overview_apache' },
{
text: '‌Computing Engine',
collapsible: true,
Expand Down
1 change: 1 addition & 0 deletions src/.vuepress/sidebar/V2.0.x/en-Tree.ts
Original file line number Diff line number Diff line change
Expand Up @@ -193,6 +193,7 @@ export const enSidebar = {
collapsible: true,
prefix: 'Ecosystem-Integration/',
children: [
{ text: 'Overview', link: 'Ecosystem-Overview_apache' },
{
text: '‌Data Acquisition',
collapsible: true,
Expand Down
1 change: 1 addition & 0 deletions src/.vuepress/sidebar/V2.0.x/zh-Table.ts
Original file line number Diff line number Diff line change
Expand Up @@ -154,6 +154,7 @@ export const zhSidebar = {
collapsible: true,
prefix: 'Ecosystem-Integration/',
children: [
{ text: '概览', link: 'Ecosystem-Overview_apache' },
{
text: '计算引擎',
collapsible: true,
Expand Down
1 change: 1 addition & 0 deletions src/.vuepress/sidebar/V2.0.x/zh-Tree.ts
Original file line number Diff line number Diff line change
Expand Up @@ -182,6 +182,7 @@ export const zhSidebar = {
collapsible: true,
prefix: 'Ecosystem-Integration/',
children: [
{ text: '概览', link: 'Ecosystem-Overview_apache' },
{
text: '数据采集',
collapsible: true,
Expand Down
1 change: 1 addition & 0 deletions src/.vuepress/sidebar_timecho/V2.0.x/en-Table.ts
Original file line number Diff line number Diff line change
Expand Up @@ -169,6 +169,7 @@ export const enSidebar = {
collapsible: true,
prefix: 'Ecosystem-Integration/',
children: [
{ text: 'Overview', link: 'Ecosystem-Overview_timecho' },
{
text: '‌Computing Engine',
collapsible: true,
Expand Down
1 change: 1 addition & 0 deletions src/.vuepress/sidebar_timecho/V2.0.x/en-Tree.ts
Original file line number Diff line number Diff line change
Expand Up @@ -210,6 +210,7 @@ export const enSidebar = {
collapsible: true,
prefix: 'Ecosystem-Integration/',
children: [
{ text: 'Overview', link: 'Ecosystem-Overview_timecho' },
{
text: '‌Data Acquisition',
collapsible: true,
Expand Down
1 change: 1 addition & 0 deletions src/.vuepress/sidebar_timecho/V2.0.x/zh-Table.ts
Original file line number Diff line number Diff line change
Expand Up @@ -158,6 +158,7 @@ export const zhSidebar = {
collapsible: true,
prefix: 'Ecosystem-Integration/',
children: [
{ text: '概览', link: 'Ecosystem-Overview_timecho' },
{
text: '计算引擎',
collapsible: true,
Expand Down
1 change: 1 addition & 0 deletions src/.vuepress/sidebar_timecho/V2.0.x/zh-Tree.ts
Original file line number Diff line number Diff line change
Expand Up @@ -193,6 +193,7 @@ export const zhSidebar = {
collapsible: true,
prefix: 'Ecosystem-Integration/',
children: [
{ text: '概览', link: 'Ecosystem-Overview_timecho' },
{
text: '数据采集',
collapsible: true,
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,44 @@
<!--

Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.

-->

# Overview

IoTDB Ecosystem Integration Bridges the Full Pipeline of Time-Series Data:
- Through data collection, it enables second-level device connectivity.
- Via data integration, it constructs cross-cloud pipelines.
- Leveraging programming frameworks, it accelerates business logic development.
- With computing engines, it accomplishes distributed processing.
- Through visualization and SQL development, it implements analytical strategies.
- Finally, by interfacing with IoT platforms, it achieves edge-cloud synergy—building a complete intelligent closed loop from the physical world to digital decision-making.

![](/img/eco-overview-en.png)

The following documentation will help you quickly and comprehensively understand the usage of various integration tools at each stage:

- Computing Engine
- Spark [Spark](./Spark-IoTDB.md)
- SQL Development
- DBeaver [DBeaver](./DBeaver.md)
- DataGrip [DataGrip ](./DataGrip.md)
- Programming Framework
- Spring Boot Starter [Spring Boot Starter](./Spring-Boot-Starter.md)
- Mybatis Generator [Mybatis Generator](./Mybatis-Generator.md)
- MyBatisPlus Generator [MyBatisPlus Generator](./MyBatisPlus-Generator.md)
Original file line number Diff line number Diff line change
@@ -0,0 +1,44 @@
<!--

Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.

-->

# Overview

IoTDB Ecosystem Integration Bridges the Full Pipeline of Time-Series Data:
- Through data collection, it enables second-level device connectivity.
- Via data integration, it constructs cross-cloud pipelines.
- Leveraging programming frameworks, it accelerates business logic development.
- With computing engines, it accomplishes distributed processing.
- Through visualization and SQL development, it implements analytical strategies.
- Finally, by interfacing with IoT platforms, it achieves edge-cloud synergy—building a complete intelligent closed loop from the physical world to digital decision-making.

![](/img/eco-overview-en.png)

The following documentation will help you quickly and comprehensively understand the usage of various integration tools at each stage:

- Computing Engine
- Spark [Spark](./Spark-IoTDB.md)
- SQL Development
- DBeaver [DBeaver](./DBeaver.md)
- DataGrip [DataGrip ](./DataGrip.md)
- Programming Framework
- Spring Boot Starter [Spring Boot Starter](./Spring-Boot-Starter.md)
- Mybatis Generator [Mybatis Generator](./Mybatis-Generator.md)
- MyBatisPlus Generator [MyBatisPlus Generator](./MyBatisPlus-Generator.md)
Original file line number Diff line number Diff line change
@@ -0,0 +1,52 @@
<!--

Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.

-->

# Overview

IoTDB Ecosystem Integration Bridges the Full Pipeline of Time-Series Data:
- Through data collection, it enables second-level device connectivity.
- Via data integration, it constructs cross-cloud pipelines.
- Leveraging programming frameworks, it accelerates business logic development.
- With computing engines, it accomplishes distributed processing.
- Through visualization and SQL development, it implements analytical strategies.
- Finally, by interfacing with IoT platforms, it achieves edge-cloud synergy—building a complete intelligent closed loop from the physical world to digital decision-making.

![](/img/eco-overview-en.png)

The following documentation will help you quickly and comprehensively understand the usage of various integration tools at each stage:

- Data Acquisition
- Telegraf [Telegraf Plugin](./Telegraf.md)
- Data Integration
- NiFi [Apache NiFi](./NiFi-IoTDB.md)
- Kafka [Kafka](./Programming-Kafka.md)
- Computing Engine
- Flink [Flink](./Flink-IoTDB.md)
- Spark [Spark](./Spark-IoTDB.md)
- Visual Analytics
- Zeppelin [Zeppelin](./Zeppelin-IoTDB.md)
- Grafana [Grafana](./Grafana-Connector.md)
- Grafana Plugin [Grafana Plugin](./Grafana-Plugin.md)
- DataEase [DataEase](./DataEase.md)
- SQL Development
- DBeaver [DBeaver](./DBeaver.md)
- IoT Platform
- Thingsboard [Thingsboard](./Thingsboard.md)
Original file line number Diff line number Diff line change
@@ -0,0 +1,53 @@
<!--

Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.

-->

# Overview

IoTDB Ecosystem Integration Bridges the Full Pipeline of Time-Series Data:
- Through data collection, it enables second-level device connectivity.
- Via data integration, it constructs cross-cloud pipelines.
- Leveraging programming frameworks, it accelerates business logic development.
- With computing engines, it accomplishes distributed processing.
- Through visualization and SQL development, it implements analytical strategies.
- Finally, by interfacing with IoT platforms, it achieves edge-cloud synergy—building a complete intelligent closed loop from the physical world to digital decision-making.

![](/img/eco-overview-en.png)

The following documentation will help you quickly and comprehensively understand the usage of various integration tools at each stage:

- Data Acquisition
- Telegraf [Telegraf Plugin](./Telegraf.md)
- Data Integration
- NiFi [Apache NiFi](./NiFi-IoTDB.md)
- Kafka [Kafka](./Programming-Kafka.md)
- Computing Engine
- Flink [Flink](./Flink-IoTDB.md)
- Spark [Spark](./Spark-IoTDB.md)
- Visual Analytics
- Zeppelin [Zeppelin](./Zeppelin-IoTDB.md)
- Grafana [Grafana](./Grafana-Connector.md)
- Grafana Plugin [Grafana Plugin](./Grafana-Plugin.md)
- DataEase [DataEase](./DataEase.md)
- SQL Development
- DBeaver [DBeaver](./DBeaver.md)
- IoT Platform
- Ignition [Ignition](./Ignition-IoTDB-plugin_timecho.md)
- Thingsboard [Thingsboard](./Thingsboard.md)
Original file line number Diff line number Diff line change
@@ -0,0 +1,44 @@
<!--

Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.

-->

# Overview

IoTDB Ecosystem Integration Bridges the Full Pipeline of Time-Series Data:
- Through data collection, it enables second-level device connectivity.
- Via data integration, it constructs cross-cloud pipelines.
- Leveraging programming frameworks, it accelerates business logic development.
- With computing engines, it accomplishes distributed processing.
- Through visualization and SQL development, it implements analytical strategies.
- Finally, by interfacing with IoT platforms, it achieves edge-cloud synergy—building a complete intelligent closed loop from the physical world to digital decision-making.

![](/img/eco-overview-en.png)

The following documentation will help you quickly and comprehensively understand the usage of various integration tools at each stage:

- Computing Engine
- Spark [Spark](./Spark-IoTDB.md)
- SQL Development
- DBeaver [DBeaver](./DBeaver.md)
- DataGrip [DataGrip ](./DataGrip.md)
- Programming Framework
- Spring Boot Starter [Spring Boot Starter](./Spring-Boot-Starter.md)
- Mybatis Generator [Mybatis Generator](./Mybatis-Generator.md)
- MyBatisPlus Generator [MyBatisPlus Generator](./MyBatisPlus-Generator.md)
Original file line number Diff line number Diff line change
@@ -0,0 +1,44 @@
<!--

Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.

-->

# Overview

IoTDB Ecosystem Integration Bridges the Full Pipeline of Time-Series Data:
- Through data collection, it enables second-level device connectivity.
- Via data integration, it constructs cross-cloud pipelines.
- Leveraging programming frameworks, it accelerates business logic development.
- With computing engines, it accomplishes distributed processing.
- Through visualization and SQL development, it implements analytical strategies.
- Finally, by interfacing with IoT platforms, it achieves edge-cloud synergy—building a complete intelligent closed loop from the physical world to digital decision-making.

![](/img/eco-overview-en.png)

The following documentation will help you quickly and comprehensively understand the usage of various integration tools at each stage:

- Computing Engine
- Spark [Spark](./Spark-IoTDB.md)
- SQL Development
- DBeaver [DBeaver](./DBeaver.md)
- DataGrip [DataGrip ](./DataGrip.md)
- Programming Framework
- Spring Boot Starter [Spring Boot Starter](./Spring-Boot-Starter.md)
- Mybatis Generator [Mybatis Generator](./Mybatis-Generator.md)
- MyBatisPlus Generator [MyBatisPlus Generator](./MyBatisPlus-Generator.md)
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