Manage Information and Data
- القسم البرامج الإدارية
- الكود C889
Course Outline
Introduction to Data Management
● Fundamental concepts: data models, data independence (physical and logical), the query optimizer
● Information storage and retrieval
● Data management process
Database Management Systems
● Types of DBMS: relational, hierarchical
● DBMS architecture
● Application of DBMS in different sectors
● Data Abstraction
● ER Model
Developing Data Management Strategy
● Identifying key business objectives
● Creating data processes for collecting, storing, preparing data
● Identifying the right tools and technologies
Data Integration
● Data warehousing
● Data migration
● Data integration techniques: manual integration, application-based integration, virtual integration
● Data integration in data mining
Master Data Management
● What are MDM and its benefits to the organisation?
● Essential MDM capabilities
● Common MDM sources
● MDM use in improved customer service, personalized marketing, etc.
Data Governance
● Why data governance matters
● Goals of data governance
● Breaking data silos
● Components of the data governance framework
● Data stewardship
Challenges and risks to Data management
● Combating flawed data
● Lack of data insight
● Balancing data management and transparency
● Keeping up-to-date with regulatory compliances
● Handling versatile data with varied standard
Data security and regulatory compliance
● Data encryption
● Tokenization
● Types of data security: Access control, Authentication, backups, and recovery
● Data erasure
● Data masking
● Main elements of data security
● Data regulatory compliance
Innovation in Data Management
● Cloud data governance
● Case study: world’s first self-driving database
Data Management Best Practices and latest trends
● Artificial intelligence automates data
● Augmented data management
● Data post
● Data Fabric