kingswanwho commented on a change in pull request #2286:
URL: https://github.com/apache/drill/pull/2286#discussion_r685057339
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File path: _docs/zh/tutorials/050-analyzing-highly-dynamic-datasets.md
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@@ -5,9 +5,9 @@ parent: "教程"
lang: "zh"
---
-Today’s data is dynamic and application-driven. The growth of a new era of
business applications driven by industry trends such as web, social, mobile,
and Internet of Things are generating datasets with new data types and new data
models. These applications are iterative, and the associated data models
typically are semi-structured, schema-less and constantly evolving.
Semi-structured data models can be complex/nested, schema-less, and capable of
having varying fields in every single row and of constantly evolving as fields
get added and removed frequently to meet business requirements.
+大数据是动态的并应用驱动的。互联网时代商业软件的发展由不同的产业端所驱动，如网页端，媒体端，移动端，物联网。他们所生成的数据集，包含了新的数据类型和模型。这些应用都是交互式的，他们所关联的数据模型一般都是半结构化，schema-less，以及持续变化。半结构化数据模型可以是复杂/嵌套或
schema-less，并且能够在每一行中含有不同的字段，为满足业务需求，字段会频繁修改。
Review comment:
resolved
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