Data mapping is the process in which we specify the type of data that the fields of an index will receive in Elasticsearch.
When defining the data mapping, we can find two ways. The first one is the dynamic mapping, in which Elasticsearch defines from the indexing of the documents, the type of data that each field will have. The second, which is the one we talk about in this video, is the explicit mapping.
With the explicit mapping we specify what type of data each field will have.
There are multiple types for each data, from numbers to text, keyword and json (json, flattened, nested) for objects.
All this we land with an example of mapping in Elasticsearch.
00:03 - What is mapping in Elastic Search
00:22 - Dynamic typing in ElasticSearch
02:36 - Explicit typing in ElasticSearch
03:46 - Difference between text typing and keyword typing
05:22 - Reindex api to re-create an Elasticsearch index
07:18 - Example of data types in Elasticsearch
08:53 - Data types for mapping
14:32 - Analyzers for text data types
17:28 - Example of mapping in Elasticsearch
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