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  2. Cerner CCL - Wikipedia

    en.wikipedia.org/wiki/Cerner_CCL

    CCL is patterned after the Structured Query Language (SQL). All Cerner Millennium health information technology software uses CCL/Discern Explorer to select from, insert into, update into and delete from a Cerner Millennium database and allows a programmer to fetch data from an Oracle database and display it as the user wants to see. With ...

  3. List of SQL reserved words - Wikipedia

    en.wikipedia.org/wiki/List_of_SQL_reserved_words

    ACCESS — — — — Oracle ... RAW — — — — Oracle ... Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...

  4. PL/SQL - Wikipedia

    en.wikipedia.org/wiki/PL/SQL

    PL/SQL refers to a class as an "Abstract Data Type" (ADT) or "User Defined Type" (UDT), and defines it as an Oracle SQL data-type as opposed to a PL/SQL user-defined type, allowing its use in both the Oracle SQL Engine and the Oracle PL/SQL engine. The constructor and methods of an Abstract Data Type are written in PL/SQL.

  5. Object–relational mapping - Wikipedia

    en.wikipedia.org/wiki/Object–relational_mapping

    One of the arguments against using an OODBMS is that it may not be able to execute ad-hoc, application-independent queries. [citation needed] For this reason, many programmers find themselves more at home with an object-SQL mapping system, even though most object-oriented databases are able to process SQL queries to a limited extent. Other ...

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  7. Comparison of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_relational...

    Note (6): Can be implemented using Function-based Indexes in Oracle 8i and higher, but the function needs to be used in the sql for the index to be used. Note (7): A PostgreSQL functional index can be used to reverse the order of a field. Note (10): B+ tree and full-text only for now.

  8. Select (SQL) - Wikipedia

    en.wikipedia.org/wiki/Select_(SQL)

    Only Oracle, DB2, Spark/Hive, and Google Big Query fully implement this feature. More recently, vendors have added new extensions to the standard, e.g. array aggregation functions. These are particularly useful in the context of running SQL against a distributed file system (Hadoop, Spark, Google BigQuery) where we have weaker data co-locality ...

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