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[Doc] Fix typos and improve wording in README files (#17959)
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README.md

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## About
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Apache DolphinScheduler is a modern data orchestration platform that empowers agile, low-code development of high-performance workflows.
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It is dedicated to handling complex task dependencies in data pipelines, and provides a wide range of built-in job types ** out of the box**
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It is dedicated to handling complex task dependencies in data pipelines and provides a wide range of built-in job types **out of the box**.
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Key features for DolphinScheduler are as follows:
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- Easy to deploy, provides four deployment modes including Standalone, Cluster, Docker and Kubernetes.
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- Easy to deploy, providing four deployment modes including Standalone, Cluster, Docker, and Kubernetes.
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- Easy to use, workflows can be created and managed via Web UI, [Python SDK](https://dolphinscheduler.apache.org/python/main/index.html) or Open API
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- Highly reliable and high availability, with a decentralized, multi-master and multi-worker architecture and native supports for horizontal scaling.
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- Highly reliable and high availability, with a decentralized, multi-master and multi-worker architecture and native support for horizontal scaling.
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- High performance, its performance is several times faster than other orchestration platforms, and it is capable of handling tens of millions of tasks per day
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- Cloud Native, DolphinScheduler supports orchestrating workflows cross multiple clouds and data centers, and allows custom task types
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- Cloud Native, DolphinScheduler supports orchestrating workflows across multiple clouds and data centers, and allows custom task types
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- Workflow Versioning, provides version control for both workflows and individual workflow instances, including tasks.
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- Flexible state control of workflows and tasks, supports pause/stop/recover them in any time
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- Flexible state control of workflows and tasks, supports pausing, stopping, and recovering them at any time.
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- Multi-tenancy support
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- Additional features, backfill support(Web UI native), permission control including project and data source etc.
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* **Data source:** Supports multiple external data sources, provides unified data access capabilities for MySQL, PostgreSQL, Hive, Trino, etc.
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![data-source](images/data-source.png)
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* **Monitor:** View the status of the master, worker and database in real time, including server resource usage and load, do quick health check without logging in to the server.
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* **Monitor:** View the status of the master, worker and database in real time, including server resource usage and load, do a quick health check without logging in to the server.
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![monitor](images/monitor.png)
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## Suggestions & Bug Reports
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## Contributing
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The community welcomes contributions from everyone. Please refer to this page to find out more details: [How to contribute](docs/docs/en/contribute/join/contribute.md).
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Check out good first issue in [here](https://github.com/apache/dolphinscheduler/contribute) if you are new to DolphinScheduler.
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Check out good first issues [here](https://github.com/apache/dolphinscheduler/contribute) if you are new to DolphinScheduler.
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## Community
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README_zh_CN.md

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# Apache Dolphinscheduler
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# Apache DolphinScheduler
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[![License](https://img.shields.io/badge/license-Apache%202-4EB1BA.svg)](https://www.apache.org/licenses/LICENSE-2.0.html)
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[![codecov](https://codecov.io/gh/apache/dolphinscheduler/branch/dev/graph/badge.svg)]()
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[![codecov](https://codecov.io/gh/apache/dolphinscheduler/branch/dev/graph/badge.svg)](https://codecov.io/gh/apache/dolphinscheduler)
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[![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=apache-dolphinscheduler&metric=alert_status)](https://sonarcloud.io/dashboard?id=apache-dolphinscheduler)
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[![Twitter Follow](https://img.shields.io/twitter/follow/dolphinschedule.svg?style=social&label=Follow)](https://twitter.com/dolphinschedule) <!-- markdown-link-check-disable-line -->
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[![EN doc](https://img.shields.io/badge/document-English-blue.svg)](README.md)
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DolphinScheduler 的主要特性如下:
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- 易于部署,提供四种部署方式,包括Standalone、Cluster、Docker和Kubernetes
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- 易于使用,可以通过四种方式创建和管理工作流,包括Web UI、[Python SDK](https://dolphinscheduler.apache.org/python/main/index.html)和Open API
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- 易于部署,提供四种部署方式,包括 Standalone、Cluster、Docker 和 Kubernetes
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- 易于使用,可以通过多种方式创建和管理工作流,包括 Web UI、[Python SDK](https://dolphinscheduler.apache.org/python/main/index.html) 和 Open API
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- 高可靠高可用,多主多从的去中心化架构,原生支持横向扩展
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- 高性能,性能比其他编排平台快N倍,每天可支持千万级任务
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- Cloud Native,DolphinScheduler支持编排多云/数据中心工作流,支持自定义任务类型
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## 社区
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欢迎通过以方式加入社区
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欢迎通过以下方式加入社区
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- 讨论和提问请通过 [GitHub Issues](https://github.com/apache/dolphinscheduler/issues)
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- 关注 [DolphinScheduler Twitter](https://twitter.com/dolphinschedule) 来获取最新消息 <!-- markdown-link-check-disable-line -->

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