Responsibilities
* Installation, configuration and upgrading of Database server software and related products. * Evaluate Database features and Database related products. * Establish and maintain sound backup and recovery policies and procedures. * Take care of the Database design and implementation. * Implement and maintain database security (create and maintain users and roles, assign privileges). * Database tuning and performance monitoring. * Application tuning and performance monitoring. * Setup and maintain documentation and standards. * Plan growth and changes ( capacity planning). * Work as part of a team and provide 24/7 support when required. * Do general technical troubleshooting and give cons. * Database recoveryTypes
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. #Development DBAs: focus on the logical and development aspects of database administration such as data model design and maintenance, DDL ( data definition language) generation, SQL writing and tuning, coding stored procedures, collaborating with developers to help choose the most appropriate DBMS feature/functionality and other pre-production activities. #Application DBAs: usually found in organizations that have purchased 3rd partyAutomation of database administration
The degree to which the administration of a database is automated dictates the skills and personnel required to manage databases. On one end of the spectrum, a system with minimal automation will require significant experienced resources to manage; perhaps 5-10 databases per DBA. Alternatively an organization might choose to automate a significant amount of the work that could be done manually therefore reducing the skills required to perform tasks. As automation increases, the personnel needs of the organization splits into highly skilled workers to create and manage the automation and a group of lower skilled "line" DBAs who simply execute the automation. Database administration work is complex, repetitive, time-consuming and requires significant training. Since databases hold valuable and mission-critical data, companies usually look for candidates with multiple years of experience. Database administration often requires DBAs to put in work during off-hours (for example, for planned after hours downtime, in the event of a database-related outage or if performance has been severely degraded). DBAs are commonly well compensated for the long hours. One key skill required and often overlooked when selecting a DBA is database recovery (a part of disaster recovery). It is not a case of “if” but a case of “when” a database suffers a failure, ranging from a simple failure to a full catastrophic failure. The failure may be data corruption, media failure, or user induced errors. In either situation the DBA must have the skills to recover the database to a given point in time to prevent a loss of data.Database administration tools
Often, the DBMS software comes with certain tools to help DBAs manage the DBMS. Such tools are called native tools. For example, Microsoft SQL Server comes with SQL Server Management Studio and Oracle has tools such as SQL*Plus and Oracle Enterprise Manager/Grid Control. In addition, 3rd parties such as BMC, Quest Software, Embarcadero Technologies, patchVantage and SQL Maestro Group offer GUI tools to monitor the DBMS and help DBAs carry out certain functions inside the database more easily. Another kind of database software exists to manage the provisioning of new databases and the management of existing databases and their related resources. The process of creating a new database can consist of hundreds or thousands of unique steps from satisfying prerequisites to configuring backups where each step must be successful before the next can start. A human cannot be expected to complete this procedure in the same exact way time after time - exactly the goal when multiple databases exist. As the number of DBAs grows, without automation the number of unique configurations frequently grows to be costly/difficult to support. All of these complicated procedures can be modeled by the best DBAs into database automation software and executed by the standard DBAs. Software has been created specifically to improve the reliability and repeatability of these procedures such as Stratavia's Data Palette and GridApp Systems Clarity.The impact of IT and cloud automation
Automated Database operations has grown since 2009, following Amazon Web Services introduction of AWS RDS, providing automated and managed database as a service. Microsoft Azure launched a similar automated database as a service in 2010, with SQL Azure, providing automated backups, with geo-replication and high availability. The introduction of docker (software) containers has enhanced support for fast delivery of containerized database instances, and both Amazon Web Services and Microsoft Azure have enhanced automated support for containers in their respective services. Third party support for database container images has grown, including MongoDB, PostgreSQL, MySQL from Oracle, and Microsoft SQL Server fromLearning database administration
There are several education institutes that offer professional courses, including late-night programs, to allow candidates to learn database administration. DBMS vendors such as Oracle, Microsoft and IBM offer certification programs to help companies to hire qualified DBA practitioners. College degree in Computer Science or related field is helpful but not necessarily a prerequisite.See also
* Column-oriented DBMS * Data warehouse *References
External links
* * {{Authority control Database management systems Data management