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[skip ci] Check the spelling of docs (#7866)

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docs/developer_guides/chap01_system_overview.md
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@ -30,7 +30,7 @@ A batch insert/delete is guaranteed to become visible atomically.
In Milvus, 'collection' refers to the concept of table. A collection can be optionally divided into several 'partitions'. Both collection and partition are the basic execution scopes of queries. When using partition, users should clearly know how a collection should be partitioned. In most cases, partition leads to more flexible data management and more efficient querying. For a partitioned collection, queries can be executed both on the collection or a set of specified partitions.
Each collection or partition contains a set of 'segment groups'. Segment group is the basic unit of data-to-node mapping. It's also the basic unit of replica. For instance, if a query node failed, its segment groups will be redistributed accross other nodes. If a query node is overloaded, part of its segment groups will be migrated to underloaded ones. If a hot collection/partition is detected, its segment groups will be replicated to smooth the system load skewness.
Each collection or partition contains a set of 'segment groups'. Segment group is the basic unit of data-to-node mapping. It's also the basic unit of replica. For instance, if a query node failed, its segment groups will be redistributed across other nodes. If a query node is overloaded, part of its segment groups will be migrated to underloaded ones. If a hot collection/partition is detected, its segment groups will be replicated to smooth the system load skewness.
'Segment' is the finest unit of data organization. It is where the data and indexes are actually kept. Each segment contains a set of rows. In order to reduce the memory footprint during a query execution and to fully utilize SIMD, the physical data layout within segments is organized in a column-based manner.