A relational database management system (RDBMS) is a database management system (DBMS) that is based on the relational model as introduced by E. F. Codd.Most popular commercial and open source databases currently in use are based on the relational database model.A short definition of an RDBMS is: a DBMS in which data is stored in tables and the relationships among the data are also stored in tables. The data can be accessed or reassembled in many different ways without having to change the table forms.
Provides faster query execution by managing parameters and monitoring performance of the database. In a client-server type setup it is very important that all the data is available online quickly otherwise there would be no use of employing computerized database. They consider both front end and back end data organization accessibility for its end users Designing a data model by mapping the logical design in its early stages. Database Administrator directly deals with the DBMS and knows potential problems that generally arise. Only a Database Administrator can guide the designing team about the performance requirement. Database Administrator also organizes the hardware and software requirements Testing new database management system versions to find a better solution for existing queries. Writing data dictionary definitions, procedures and various other documentation for database. Controls privileges and permissions to users of database. A Database Administrator manages adding or removing users from accessing the database. Database Administrator is responsible for data analysis and provides faster query execution or performance by new indexing and data retrieval or storage methods. Finding new applications that benefit more than the existing software Maintaining data format and standard Database Administrator not only finds new software that overcomes the drawbacks of existing software but also is also responsible for installation of new software related to DBMS performance. Database Administrator also tests the new software with staff members before it is completely implemented in an organization. Recoverability is one of the most important and vital duty of a Database Administrator. Any type of error such as, data entry error, hardware failure, software failure, bugs, virus etc. can result in corrupting database. It is the duty of the Database Administrator to recover such lost data and avoid any such problems. Various recovery plans are designed by Database. Administrators in advance. Usually Database Administrators backup the database at certain fixed timestamps to ensure security of a database.
Some of database administrator tasks are more critical. Troubleshooting of DB2,ORA or any database errors, Disaster recovery, database corruption, performance Tuning are more serious issues. These all significant issues resolution is required high experience and expertise in RDBMS Database administration. Fresher and intermediate DBA can’t able to resolve these problems. Issue is becoming more critical and serious because of lack of experience and expertise. Nowadays, it is hectic and resource wasting task to obtain expert and high experience Database Administrator from market. After recruiting, there is not guarantee for stability of expert resource in company. It is very costly to acquire specialist DBA from market every time. Therefore, remote database administration is becoming more popular in global corporate world. Many times deep and correct analysis needed to solve a problem in minimal time. Certain step needs to be taken to avoid repetitive problems. Database administration needs to have hardware and operative system knowledge. ARUMAN has team which is highly experience and expertise in RDBMS database. We have database architect level people work with us. This team has certain people who have worked in RDBMS coding or bug fixing support team in respective database companies.
-- Manage your business critical systems with fewer people, and at a lower cost by providing remote support -- No need for over-staffing to provide redundancy. -- Lower Cost over traditional employee based DBAs. -- Customizable remote dba support plans to fit your requirements. -- Less cost , because you're sharing the resource with other companies. -- Lowest and competitive cost of remote support. -- Highly experts and well experienced Professionals. -- Complex database problem which needs expertises of two or more RDBMS will be solved cause of different people group. -- Architectural,performance tuning,Database administration every thing from one place
A database is a collection of information that is organized so that it can easily be accessed, managed, and updated. In one view, databases can be classified according to types of content: bibliographic, full-text, numeric, and images.
In computing, databases are sometimes classified according to their organizational approach. The most prevalent approach is the relational database, a tabular database in which data is defined so that it can be reorganized and accessed in a number of different ways. A distributed database is one that can be dispersed or replicated among different points in a network. An object-oriented programming database is one that is congruent with the data defined in object classes and subclasses.
A data mart is a repository of data gathered from operational data and other sources that is designed to serve a particular community of knowledge workers. In scope, the data may derive from an enterprise-wide database or data warehouse or be more specialized. The emphasis of a data mart is on meeting the specific demands of a particular group of knowledge users in terms of analysis, content, presentation,and ease-of-use. Users of a data mart can expect to have data presented in terms that are familiar.
Query optimization is a function of many relational database management systems in which multiple query plans for satisfying a query are examined and a good query plan is identified. This may or not be the absolute best strategy because there are many ways of doing plans. There is a trade-off between the amount of time spent figuring out the best plan and the amount running the plan. Different qualities of database management systems have different ways of balancing these two. Cost based query optimizers evaluate the resource footprint of various query plans and use this as the basis for plan selection.