Update tutorial/markdown/couchbase-server/best-practices/json-data-modeling-guide/04-phases-of-data-modeling.md

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Author: mgroves

tutorial/markdown/couchbase-server/best-practices/json-data-modeling-guide/04-phases-of-data-modeling.md

@@ -231,7 +231,7 @@ Items consist of a key and a value. A key is a unique identifier within the buck
 - **Keys**: Each value (binary or JSON) is identified by a unique key. The key is typically a surrogate key generated using a counter or a UUID generator. Keys are immutable. Thus, if you use composite or compound keys, ensure that you use attributes that don't change over time.
 - **Values**
   - **Binary values**: Binary values can be used for high performance access to compact data through keys. Encrypted secrets, IoT instrument measurements, session states, or other non-human-readable data are typical cases for binary data. _Binary_ data may not necessarily be binary, but could be non-JSON formatted text like XML, String, etc. However, using binary values limits the functionality your application can take advantage of, ruling out indexing and querying in Couchbase as binary values have a proprietary representation.
-  - **JSON values**: JSON provides rich representation for entities. Couchbase can parse, index and query JSON values. JSON provide a name and a value for each attribute. You can find the JSON definition at [RFC 7159](https://tools.ietf.org/html/rfc7159) or at [ECMA 404](http://www.ecma-international.org/publications/files/ECMA-ST/ECMA-404.pdf). These type of items are typically called "documents"
+  - **JSON values**: JSON provides rich representation for entities. Couchbase can parse, index and query JSON values. JSON provide a name and a value for each attribute. You can find the JSON definition at [RFC 7159](https://tools.ietf.org/html/rfc7159) or at [ECMA 404](http://www.ecma-international.org/publications/files/ECMA-ST/ECMA-404.pdf). These type of items are typically called "documents".
 
 The JSON document attributes can represent both basic types such as number, string, Boolean, and complex types including embedded documents and arrays. In the examples below, a1 and a2 represent attributes that have a numeric and string value respectively, a3 represents an embedded document, and a4 represents an array of embedded documents.