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  2. Microsoft Azure SQL Database - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure_SQL_Database

    Azure SQL Database includes built-in intelligence that learns app patterns and adapts them to maximize performance, reliability, and data protection. Key capabilities include: Learning of the host app's data access patterns, adaptive performance tuning, and automatic improvements to reliability and data protection.

  3. Database activity monitoring - Wikipedia

    en.wikipedia.org/wiki/Database_activity_monitoring

    Database Security Proxy is a non-intrusive method for DAM. The interception itself can be done also at multiple points such as the database memory (e.g. the SGA), at the network (using a network TAP or a SPAN port if the communication is not encrypted), at the operating system level, or at the level of the database libraries. [3]

  4. Algorithms for Recovery and Isolation Exploiting Semantics

    en.wikipedia.org/wiki/Algorithms_for_Recovery...

    We create log records of the form (Sequence Number, Transaction ID, Page ID, Redo, Undo, Previous Sequence Number). The Redo and Undo fields keep information about the changes this log record saves and how to undo them. The Previous Sequence Number is a reference to the previous log record that was created for this transaction.

  5. Write-ahead logging - Wikipedia

    en.wikipedia.org/wiki/Write-ahead_logging

    In computer science, write-ahead logging (WAL) is a family of techniques for providing atomicity and durability (two of the ACID properties) in database systems. [1] A write ahead log is an append-only auxiliary disk-resident structure used for crash and transaction recovery. The changes are first recorded in the log, which must be written to ...

  6. Change data capture - Wikipedia

    en.wikipedia.org/wiki/Change_data_capture

    Most database management systems do not document the internal format of their transaction logs, although some provide programmatic interfaces to their transaction logs (for example: Oracle, DB2, SQL/MP, SQL/MX and SQL Server 2008). Other challenges in using transaction logs for change data capture include:

  7. Azure Data Lake - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Lake

    Azure Data Lake service was released on November 16, 2016. It is based on COSMOS, [2] which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live. COSMOS features a SQL-like query engine called SCOPE upon which U-SQL was built. [2]

  8. Log trigger - Wikipedia

    en.wikipedia.org/wiki/Log_trigger

    In relational databases, the log trigger or history trigger is a mechanism for automatic recording of information about changes inserting or/and updating or/and deleting rows in a database table. It is a particular technique for change data capturing , and in data warehousing for dealing with slowly changing dimensions .

  9. Logging (computing) - Wikipedia

    en.wikipedia.org/wiki/Logging_(computing)

    These logs record changes to the stored data to allow the database to recover from crashes or other data errors and maintain the stored data in a consistent state. Thus, database systems usually have both general event logs and transaction logs. [10] [11] [12] [13]