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  2. Database transaction schedule - Wikipedia

    en.wikipedia.org/wiki/Database_transaction_schedule

    If the order in time between certain operations is not determined by the system, then a partial order is used. Examples of such operations are requesting a read operation, reading, writing, aborting, committing, requesting a lock, locking, etc. Often, only a subset of the transaction operation types are included in a schedule.

  3. Transaction time - Wikipedia

    en.wikipedia.org/wiki/Transaction_time

    It is a technical timeline controlled by a integration layer (for example a data warehouse). [1] More formally, it is the point-in-time during which a fact stored in the database is considered to be true. The period is an interval based on load times (called load datetime in data vault [1] [2]), also called inscription timestamp. [1]

  4. Temporal database - Wikipedia

    en.wikipedia.org/wiki/Temporal_database

    A substantive difference between the TSQL2 proposal and what was adopted in SQL:2011 is that there are no hidden columns in the SQL:2011 treatment, nor does it have a new data type for intervals; instead two columns with datestamps (DS) or date-timestamps (DTS) can be bound together using a PERIOD FOR declaration. Another difference is ...

  5. Time series database - Wikipedia

    en.wikipedia.org/wiki/Time_series_database

    A time series database is a software system that is optimized for storing and serving time series through associated pairs of time(s) and value(s). [1] In some fields, time series may be called profiles, curves, traces or trends. [ 2 ]

  6. Valid time - Wikipedia

    en.wikipedia.org/wiki/Valid_time

    The term valid time was coined by Richard T. Snodgrass and his doctoral student (1986). [8]As of December 2011, ISO/IEC 9075, Database Language SQL:2011 Part 2: SQL/Foundation included clauses in table definitions to define "application-time period tables" (that is, valid-time tables).

  7. SQL:2011 - Wikipedia

    en.wikipedia.org/wiki/SQL:2011

    SQL:2011 or ISO/IEC 9075:2011 (under the general title "Information technology – Database languages – SQL") is the seventh revision of the ISO (1987) and ANSI (1986) standard for the SQL database query language. It was formally adopted in December 2011. [1] The standard consists of 9 parts which are described in detail in SQL.

  8. Comparison of database administration tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_database...

    Some - can only reverse engineer the entire database at once and drops any user modifications to the diagram (can't "refresh" the diagram to match the database) Forward engineering - the ability to update the database schema with changes made to its entities and relationships via the ER diagram visual designer Yes - can update user-selected ...

  9. Query language - Wikipedia

    en.wikipedia.org/wiki/Query_language

    Cypher is a query language for the Neo4j graph database; DMX is a query language for data mining models; Datalog is a query language for deductive databases; F-logic is a declarative object-oriented language for deductive databases and knowledge representation. FQL enables you to use a SQL-style interface to query the data exposed by the Graph API.