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CISB 314 –Database 2. Data and database administration. Database administrator. Here are the monthly salaries for DBA. DBA salary. Tan Chong & Sons Motor Co. Sdn Bhd. DBA Assistant Kuala Lumpur - Jalan Ipoh Responsibilities:

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cisb 314 database 2

CISB 314 –Database 2

Data and database administration

tan chong sons motor co sdn bhd
Tan Chong & Sons Motor Co. SdnBhd
  • DBA AssistantKuala Lumpur - Jalan Ipoh
  • Responsibilities:
  • Manage – Both Oracle DB and SQL Server - support in the area in supporting to DB Administrator and also Tan Chong Database requirement.
  • Systems Delivery – Responsible for change management, administrator for SQL Server and Oracle, timely patch management, deployment of business systems. Conduct post-implementation reviews and recommend continual improvements.
  • IT Governance – Ensuring, enforcing and Compliance to IT policy and procedures.
  • User Management – Ensuring and maintenance of the users access to the Database system.
  • Requirements:
  • Candidate must possess at least a Degree in Computer Science / IT or equivalent.
  • A minimum of 2 years working experience in process definition, analysis, design and implementation.
  • In-depth domain knowledge in operations, planning, services and customer support preferably in the automotive industry.
  • Ability to work under time pressure, manage multiple groups of users while maintaining a positive and patient attitude.
  • Excellent command of both written and spoken English.
  • Self motivated with attention to detail.
  • Organizes own workload, sets priorities and works within deadlines.
  • Excellent organization, communication and interpersonal skills.
  • Ability to process assignments in an efficient, accurate and timely manner.
  • Able to work with minimum supervision, as well as able to contribute to team development.
  • People and results oriented and committed with a strong sense of urgency.
  • Professional certification in IT or customer service will be an added advantage.
t systems malaysia sdn bhd
T-Systems Malaysia SdnBhd
  • Oracle DBA (Data Administrator)
  • Kuala Lumpur – Cyberjaya
  • Responsibilities:
  • Working on a team of 5 professional Oracle DBAs (database administrators), you participate in the support and development of the nearly 120 Oracle based applications within the organization and globally as well. Oracle based applications are mostly downstream with some corporate systems. Oracle has been the strategic DB toolset, and there are some non-critical implementations of SQL Server.
  • Key activities as part of this role on the team include:Administration, tuning, installation, upgrading, data management and security of the Oracle databases.
  • Consulting functions, working with a variety of IT teams implementing Oracle based applications (Group developed, in-house developed and vendor purchased).
  • Participate in pager rotating Oracle support team (5 members), which includes 7x24 for currently 3 database instances supporting highly critical business functions.
  • Rotate with other members on Support or Projects.
  • Skills: UNIX, Oracle, SQL
ambank
AmBank
  • Database Administrator (Technical Services)
  • Responsibilities:
  • The Database Administrator is responsible to support and maintain databases on open system platform of AmBank Group. The incumbent will also manage the IT implementation / maintenance of the bank’s key and strategic business initiatives and projects
  • Provide database administration services to users, operation support and projects
  • Maintains an efficient of database system as to ensure maximum uptime of application system as expected in service level agreement
  • Key person in troubleshooting, maintaining and ensuring that the technical components of the system are integrated to provide maximum efficiency
  • Perform variety of tasks, which include feasibility studies, system reviews, security assessments and long-term planning
  • Provide technical consultancy to application developers and users
  • Develop technical enhancement and documentation on database aspect for project deployment and operation
  • Requirements:
  • Candidate must possess at least a Bachelor's Degree or Professional Degree in Computer Science/Information Technology or equivalent (CGPA at least 3.00)
  • Possess at least 2 years extensive hands-on experience in Oracle, DB2 (LUW) or Sybase RDMS. Certified with Oracle (OCP), DB2 or Adaptive Server Enterprise Administrator is an advantage
  • Knowledge in other RDMS such as MS SQL, MY SQL and PostgreSQL would be an added advantage
  • Comprehensive knowledge of the database programming environments, including optimization, tuning and application interfaces
  • Candidate must possess good communication skills, negotiation skills, problem-solving, analytical skills and ability to work under pressure (tight deadlines)
  • Able to work independently with minimum supervision
other job advertisements
Other job advertisements
  • Ventyx
    • Database Administrator
    • Requirements:
    • 3 - 5 years experience in SQL Server Database Administration.
    • 1 - 2 years experience in Oracle Database Administration.
    • Skilled in a scripting language (ie. UNIX shell, Perl, etc).
    • NT Administration skills.
    • Formal training in database theory, (ie. IT degree or diploma from a recognised institution)
    • Industry certifications.
    • Experience in one or more of the following an advantage: DB2 database administration, PostgreSQL database administration, UNIX administration, Zenoss administration.
  • GenesisHInfotech (M) SdnBhd
    • Database Administrator
    • Skill & Requirement Sets:
    • Needs SQL, MYSQL, Oracle 9i and 10g, Access, Tomcat and Appache experience.
    • At least 5 year(s) of working experience in the related field is required for this position.
    • Full-Time position available.
learning outcomes
Learning Outcomes
  • At the end of this lecture, you should be able to:
    • Define terms
    • Describe importance and goals of data governance
    • Describe importance and measures of data quality
    • Define characteristics of quality data
    • Describe reasons for poor data quality in organizations
    • Describe a program for improving data quality
data governance
Data Governance
  • Data governance
    • A set of processes and procedures aimed at managing the data within organization.
    • To achieve high-level objectives such as availability, integrity and compliance with regulations.
  • Data steward
    • A person responsible for ensuring that organizational applications properly support the organization’s goals for data quality.
requirements for data governance
Requirements for Data Governance
  • Sponsorship from both senior management and business units
  • A data steward manager to coordinate data stewards
  • Data stewards for different business units, subjects, and/or source systems
  • A governance committee to provide data management guidelines and standards
importance of data quality
Importance of Data Quality
  • Minimize IT project risk
  • Make timely business decisions
  • Ensure regulatory compliance
  • Expand customer base
characteristics of quality data
Characteristics of Quality Data

Uniqueness

Accuracy

Consistency

Completeness

  • Timeliness
  • Currency
  • Conformance
  • Referential integrity
causes of poor data quality
Causes of poor data quality
  • External data sources
    • Lack of control over data quality
  • Redundant data storage and inconsistent metadata
    • Proliferation of databases with uncontrolled redundancy and metadata
  • Data entry
    • Poor data capture controls
  • Lack of organizational commitment
    • Not recognizing poor data quality as an organizational issue
data quality improvement
Data quality improvement
  • Get business buy-in
  • Perform data quality audit
  • Establish data stewardship program
  • Improve data capture processes
  • Apply modern data management principles and technology
  • Apply total quality management (TQM) practices
business buy in
Business Buy-in
  • Executive sponsorship
  • Building a business case
  • Prove a return on investment (ROI)
  • Avoidance of cost
  • Avoidance of opportunity loss
data quality audit
Data Quality Audit
  • Statistically profile all data files
  • Document the set of values for all fields
  • Analyze data patterns (distribution, outliers, frequencies)
  • Verify whether controls and business rules are enforced
  • Use specialized data profiling tools
data stewardship program
Data Stewardship Program
  • Roles:
    • Oversight of data stewardship program
    • Manage data subject area
    • Oversee data definitions
    • Oversee production of data
    • Oversee use of data
  • Report to: business unit vs. IT organization?
improving data capture processes
Improving Data Capture Processes
  • Automate data entry as much as possible
  • Manual data entry should be selected from preset options
  • Use trained operators when possible
  • Follow good user interface design principles
  • Immediate data validation for entered data
tqm principles and practices
TQM Principles and Practices
  • TQM – Total Quality Management
  • TQM Principles:
    • Defect prevention
    • Continuous improvement
    • Use of enterprise data standards
  • Balanced focus
    • Customer
    • Product/Service
learning outcomes1
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
traditional administration definitions
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
traditional data administration functions
Traditional Data Administration Functions
  • Data policies, procedures, standards
  • Planning
  • Data conflict (ownership) resolution
  • Managing the information repository
  • Internal marketing of DA concepts
traditional data administration functions1
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
traditional data administration functions2
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
traditional data administration functions3
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
traditional data administration functions4
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
traditional data administration functions5
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
traditional database administration functions
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
traditional database administration functions1
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
traditional database administration functions2
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
traditional database administration functions3
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
functions of da dba1
Functions of DA & DBA

DBA

DA/DBA

DBA

DA/DBA

trends in database administration
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.
data warehouse administration
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
open source dbms s
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
open source dbms s1
Open Source DBMSs
  • Disadvantages:
    • Absence of complete documentation
    • Ambiguous licensing concerns
    • Not as feature-rich as proprietary DBMSs
    • Vendors may not have certification programs
open source dbmss
Open Source DBMSs
  • Consider these factors when choosing an open source DBMS:
    • Features
    • Support
    • Ease-of-use
    • Stability
    • Speed
    • Training
    • Licensing
slide43

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

END OF CHAPTER