[Doc] Remove unnecessary Desc (backport #55584) (#55591)

Co-authored-by: 絵空事スピリット <wanglichen@starrocks.com>

Author: mergify[bot]

docs/en/integrations/data_lakes.mdx

@@ -11,7 +11,6 @@ import DataLakeIntro from '../_assets/commonMarkdown/datalakeIntro.md'
 
 - Open Data Formats: Supports a variety of data types, including JSON, Parquet, and Avro, facilitating the storage and processing of both structured and unstructured data.
 - Metadata Management: Implements a shared metadata layer, often utilizing formats like the Iceberg table format, to organize and govern data efficiently.
-- Diverse Query Engines: Incorporates multiple engines, like enhanced versions of Presto and Spark, to cater to various analytics and AI use cases.
 - Governance and Security: Features robust built-in mechanisms for data security, privacy, and compliance, ensuring data integrity and trustworthiness.
 
 ## Advantages of Data Lakehouse architecture

docs/zh/integrations/data_lakes.mdx

@@ -17,10 +17,6 @@ import DataLakeIntro from '../_assets/commonMarkdown/datalakeIntro.md'
 
   提供共享的元数据层，通常利用 Iceberg 表等格式，实现数据的高效组织和管理。
 
-- 多样化的查询引擎
-
-  整合多款引擎，如增强版本的 Presto 和 Spark 等，以满足各种数据分析和 AI 用例场景。
-
 - 安全管理
 
   内置强大有效的安全管理机制，全面管控数据安全、隐私与合规性，确保数据的完整性和可信度。