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Data Administration & Database Administration

Data Administration & Database Administration. Learning outcomes. At the end of this lecture, you should be able to: Define terms related to data & database administration List several major functions of data/database administration

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Data Administration & Database Administration

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  1. Data Administration & Database Administration

  2. Learning outcomes • At the end of this lecture, you should be able to: • Define terms related to data & database administration • List several major functions of data/database administration • Describe the changing roles of the data and database administrator in the current business environment

  3. Traditional Administration Definitions • Data Administration: A high-level function that is responsible for the overall management of data resources in an organization, including maintaining corporate-wide definitions and standards • Database Administration: A technical function that is responsible for physical database design and for dealing with technical issues such as security enforcement, database performance, and backup and recovery

  4. Traditional Data Administration Functions • Data policies, procedures, standards • Planning • Data conflict (ownership) resolution • Managing the information repository • Internal marketing of DA concepts

  5. Traditional Data Administration Functions • Data policies, procedures, standards • Data Policies: statements that make explicit the goals of DA • Every user must have a valid password • Data procedure: written outlines of actions to be taken to perform certain activity • Data Standard: explicit conventions and behaviors that are to be followed and that can be used to help evaluate database quality • Minimum characters for password: 8

  6. Traditional Data Administration Functions • Planning • Provide leadership in developing the organization’s Information Architecture (IA) • Requires both an understanding the needs of the organization for data and information and the ability to lead the development of an information architecture

  7. Traditional Data Administration Functions • Data conflict (ownership) resolution • Who owns the data? • DA: suitable person because DA is not associated with a certain department • Procedures must be established

  8. Traditional Data Administration Functions • Managing the information repository • Repositories contain metadata  describe an organization’s data and data processing resources • Replacing Data Dictionaries • Serves as an essential source of information and functionality for: • Users: who must understand data definitions, business rules and relationships among data objects • CASE tools used to specify and develop IS • Applications that access and manipulate data • DBMS: maintain the repository and update system privileges, passwords, object definitions

  9. Traditional Data Administration Functions • Internal marketing of DA concepts • The importance of procedures and policies • Effective internal marketing  reduce resistance to change and data ownership problems

  10. Traditional Database Administration Functions • Analyzing and designing databases • Selection of DBMS and software tools • Installing/upgrading DBMS • Tuning database performance • Improving query processing performance • Managing data security, privacy, and integrity • Data backup and recovery

  11. Traditional Database Administration Functions • Analyzing and designing databases • Prioritizing application transactions by volume, importance and complexity • Specifications should be reviewed as quickly as the transactions are developed • Selection of DBMS and software tools • Establish policies regarding the DBMS and related system software that will be supported within the organization

  12. Traditional Database Administration Functions • Installing/upgrading DBMS • All the correct versions of different modules are in place, all the proper device drivers are present and the DBMS works correctly with any third party software products • User accounts must be created and maintained. • Tuning database performance • Performance of a database (query and update processing time as well as data storage utilization) needs to be monitored • Design of a database must be frequently changed to meet new requirements • Database  rebuilt, reorganized, and re-indexed: recover wasted space and to correct poor data allocation and fragmentation

  13. Traditional Database Administration Functions • Improving query processing performance • Queries may need to be rewritten in a more efficient form • Index may need to be added or deleted • Data may need to be relocated to different devices • Managing data security, privacy, and integrity • Data backup and recovery

  14. Functions of DA & DBA DA

  15. Functions of DA & DBA DBA DA/DBA DBA DA/DBA

  16. Functions of DA & DBA DBA DA/DBA

  17. Trends in Database Administration • Trends and new skills needed: • Increased used of procedural logic • Triggers, stored procedures • Ensure it is well planned, tested, implemented, shared and reused • Proliferation of e-business applications • Able to manage applications and database that are Internet enabled. • Increase use of Smart phones • How to design personal DB, how to manage data synchronization.

  18. Data Warehouse Administration • New role, coming with the growth in data warehouses • Similar to DA/DBA roles • Emphasis on integration and coordination of metadata/data across many data sources • Specific roles: • Support DSS applications • Manage data warehouse growth • Establish service level agreements regarding data warehouses and data marts

  19. Open Source DBMSs • DEFINITION: • Free DBMS source code software that provides the core functionality of an SQL-compliant DBMS • An alternative to proprietary packages such as Oracle, Microsoft SQL Server, or Microsoft Access • mySQL is an example of an open-source DBMS • Advantages: • Less expensive than proprietary packages • Source code available, for modification • Have different version (simple to complex, free to some cost(additional features) • No additional cost for copies or licensing

  20. Open Source DBMSs • Disadvantages: • Absence of complete documentation • Ambiguous licensing concerns • Not as feature-rich as proprietary DBMSs • Vendors may not have certification programs

  21. Open Source DBMSs • Consider these factors when choosing an open source DBMS: • Features • Support • Ease-of-use • Stability • Speed • Training • Licensing

  22. Information in this slides were taken from Modern Database Management System, Tenth edition by Jeffrey A.Hoffer, V.Ramesh & HeikkiTopi. END OF CHAPTER

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