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There are three types of DBAs: Systems DBAs (also referred to as physical DBAs, operations DBAs or production Support DBAs): focus on the physical aspects of database administration such as DBMS installation, configuration, patching, upgrades, backups, restores, refreshes, performance optimization, maintenance and disaster recovery.
Database activity monitoring (DAM, a.k.a. Enterprise database auditing and Real-time protection [1]) is a database security technology for monitoring and analyzing database activity. DAM may combine data from network-based monitoring and native audit information to provide a comprehensive picture of database activity.
Management and monitoring of multi-tenant apps with isolation benefits of one-customer-per-database. [ 5 ] Integration with open-source tools such as cheetah ( Command-line interface utility), [ 6 ] sql-cli, [ 7 ] Visual Studio Code , [ 8 ] and Microsoft tools like Visual Studio , [ 9 ] SQL Server Management Studio , [ 10 ] Azure Management ...
A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider.
Relational database management system (includes market share data) List of relational database management systems; Comparison of object–relational database management systems; Comparison of database administration tools; Object database – some of which have relational (SQL/ODBC) interfaces.
Distributed Monitoring Able to leverage more than one server to distribute the load of network monitoring. Inventory Keeps a record of hardware and/or software inventory for the hosts and devices it monitors. Platform The platform (Coding Language) on which the tool was developed/written. Data Storage Method
While big data is a recent phenomenon, the requirement for data to aid decision-making traces back to the early 1970s with the emergence of decision support systems (DSS). These systems can be considered as the initial iteration of data management for decision support.
Content management systems: Storage and repository systems for content; may be a database or a specialized storage system; Databases administer information, and can also store documents, content, or media. Data warehouses: Complex storage systems based on databases, which provide information from a variety of sources. They may be designed with ...