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[Docs](readme) Fix typos and refine content in README (#49214)

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nivane authored and GitHub committed 2025-03-19 16:28:47 +08:00
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@@ -55,7 +55,7 @@ under the License.
Apache Doris is an easy-to-use, high-performance and real-time analytical database based on MPP architecture, known for its extreme speed and ease of use. It only requires a sub-second response time to return query results under massive data and can support not only high-concurrent point query scenarios but also high-throughput complex analysis scenarios.
Apache Doris is an easy-to-use, high-performance and real-time analytical database based on MPP architecture, known for its extreme speed and ease of use. It only requires a sub-second response time to return query results under massive data and can support not only high-concurrency point query scenarios but also high-throughput complex analysis scenarios.
All this makes Apache Doris an ideal tool for scenarios including report analysis, ad-hoc query, unified data warehouse, and data lake query acceleration. On Apache Doris, users can build various applications, such as user behavior analysis, AB test platform, log retrieval analysis, user portrait analysis, and order analysis.
@@ -80,9 +80,9 @@ Apache Doris is widely used in the following scenarios:
- **Real-time Reporting and Decision-making**: Doris provides real-time updated reports and dashboards for both internal and external enterprise use, supporting real-time decision-making in automated processes.
- **AD Hoc Analysis**: Doris offers multidimensional data analysis capabilities, enabling rapid business intelligence analysis and ad hoc queries to help users quickly uncover insights from complex data.
- **Ad Hoc Analysis**: Doris offers multidimensional data analysis capabilities, enabling rapid business intelligence analysis and ad hoc queries to help users quickly uncover insights from complex data.
- **User Profiling and Behavior Analysis**: Doris can analyze user behavior such as participation, retention, and conversion, while also supporting scenarios like population insights and crowd selection for behavior analysis.
- **User Profiling and Behavior Analysis**: Doris can analyze user behaviors such as participation, retention, and conversion, while also supporting scenarios like population insights and crowd selection for behavior analysis.
- **Lakehouse Analytics**: