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Data Guard supports both physical standby and logical standby sites. Oracle Corporation makes Data Guard available only as a bundled feature included within its "Enterprise Edition" of the Oracle RDBMS. [1] With appropriately set-up Data Guard operations, DBAs can facilitate failovers or switchovers to alternative hosts in the same or ...
Oracle Database (commonly referred to as Oracle DBMS, ... Active Data Guard DML Redirection, Automatic Index Creation, Real-Time Statistics Maintenance, SQL Queries ...
Data Guard or data guard may refer to: Guard (information security) - a security mechanism for computers on separate networks Oracle Data Guard - software for replicating Oracle databases
Oracle RAC allows multiple computers to run Oracle RDBMS software simultaneously while accessing a single database, thus providing clustering. In a non-RAC Oracle database, a single instance accesses a single database. The database consists of a collection of data files, control files, and redo logs located on disk.
Oracle Data Guard; Oracle Streams; In Oracle Data Guard primary databases the queue monitor process (often running as qmn0) interacts with AQ. As of Oracle release 9.2, AQ comes bundled with Standard Edition and Enterprise Edition at no extra cost. As of Oracle release 10.1, AQ is integrated into Oracle Streams, and is called "Oracle Streams AQ".
Standby databases in an Oracle Data Guard environment use the same technique: one database (the primary database) records all changes and sends them to the standby database(s). Each standby database applies (replays) the arrived redo, resulting in synchronization with the primary database.
The Oracle Zero Data Loss Recovery Appliance [1] (Recovery Appliance or ZDLRA) is a computing platform that includes Oracle Corporation (Oracle) Engineered Systems hardware and software built for backup and recovery of the Oracle Database. It performs continuous data protection, validates backups, automatically resolves many issues, and ...
Exadata is designed to run all Oracle Database workloads, such as OLTP, Data Warehousing, Analytics, and AI Vector processing, often with multiple consolidated databases running simultaneously. Historically, specialized database computing platforms were designed for a particular workload, such as Data Warehousing, and poor or unusable for other ...