Semi-structured Data

• In many applications, data does not have a rigidly and predefined schema:

  • e.g., structured files, scientific data, XML.

• Managing such data requires rethinking the design of components of a DBMS:

  • data model, query language, optimizer, storage system.

• The emergence of XML data underscores the importance of semi-structured data.

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