add scenarios for en

Author: TomShawn

docs/cbdb-scenarios.md

@@ -2,4 +2,35 @@
 title: User Scenarios
 ---
 
-TODO
+This document introduces the use cases of Cloudberry Database.
+
+**Scenario 1: Batch processing data warehouse offline and building data marts**
+
+- Builds high-performance Cloudberry Database warehouses and data marts for storing and querying large-scale datasets. This includes Operational Data Store (ODS), Data Warehouse Detail (DWD), and Data Warehouse Summary (DWS). Supports building source model, normalization model, dimension tables, fact tables, and more, with multiple ways to load source data into the data warehouse.
+- Supports multiple types of data processing.
+- Supports building data warehouse and data marts with high concurrency, high performance, and low maintenance cost.
+- Supports complex data analysis and query needs, including data aggregation, multi-dimensional analysis, and correlated queries.
+
+**Scenario 2: Building data warehouse in real-time**
+
+- Supports building data warehouse in real-time, and supports collecting and processing streaming data to make real-time data analysis possible.
+
+**Scenario 3: Building mid-end**
+
+- Supports building MPP data platform in the data mid-end. Supports the distributed parallel processing architecture.
+- Supports building data warehouse in the data mid-end. Supports docking with mainstream ETL tools.
+
+**Scenario 4: Building lake-warehouse integration**
+
+- Supports building enterprise-level data lake-warehouse integration. Supports efficient data exchange between data lake and data warehouse.
+
+**Scenario 5: Alternative to existing MPP databases**
+
+- Supports replacing common databases, such as Oracle, TeraData, Greenplum, and Vertical.
+- Supports replacing other types of MPP databases, such as Gbase 8a, and GaussDB.
+
+**Scenario 6: Applicable to Geographic Information System (GIS) applications**
+
+- Builds Geographic Information System (GIS) applications on Cloudberry Database.
+- Stores and queries geographic location data. Supports spatial data analysis, geocoding, and map visualization.
+- Can be applied to city planning, geographic analysis, and map navigation.

i18n/zh/docusaurus-plugin-content-docs/current/cbdb-scenarios.md

@@ -17,17 +17,17 @@ title: 使用场景
 
 **场景三：数据中台建设**
 
-- 支持数据中台中MPP数据平台的建设，支持分布式并行处理架构。
-- 支持数据中台数据仓库的建设，支持多种主流ETL工具的对接。
+- 支持数据中台中 MPP 数据平台的建设，支持分布式并行处理架构。
+- 支持数据中台数据仓库的建设，支持多种主流 ETL 工具的对接。
 
 **场景四：湖仓一体建设**
 
 - 支持企业湖仓一体建设，支持数据湖和数据仓库之间数据高效的互访。
 
-**场景五：现有MPP数据库替换**
+**场景五：现有 MPP 数据库替换**
 
 - 支持非国产数据库的替换，例如 Oracle、TeraData、Greenplum、Vertical 等。
-- 支持其他类型MPP数据库的替换，例如 Gbase8a、GaussDB 等。
+- 支持其他类型 MPP 数据库的替换，例如 Gbase 8a、GaussDB 等。
 
 **场景六：地理信息系统 (GIS) 应用 (Geographic Information System Applications)**