Earn these career-relevant skills in weeks, not years.
- Discuss database systems, including architecture types, data languages, and data models.
- Evaluate different types of distributed database management system architectures in relation to business needs and data types.
- Diagram and explain conceptual, logical, and physical database designs.
- Develop data models for distributed database architecture.
- Describe object-oriented database system architecture.
- Develop data models for object-oriented database systems.
- Evaluate advanced database architectures.
- Build database table structures in Structured Query Language (SQL) for Distributed Database Management Systems (DDBMS).
- Determine the most effective distributed database operation and recovery strategies.
- Evaluate distributed database operation and recovery strategies.
- Demonstrate the appropriate use of data replication.
- Determine the memory and processing component needs of a distributed database system.
- Determine the best performing and scalable hardware and storage architectures of a distributed database system.
- Model how data warehousing works within a distributed database system environment.
- Describe the interactions of Online Analytical Processing (OLAP) and data mining with business intelligence applications.
- Execute Structured Query Language (SQL) scripts to a distributed database.
- Create a distributed database to support defined business needs and requirements.
- Recommend a management plan for a new Distributed Database Management System (DDBMS).
- Evaluate business requirements for storage, retrieval, and security for advanced DDBMS.
- Incorporate current and emerging security, legal, and ethical trends into database architectures management.