Data engineering is to identify, investigate, and analyze the underlying principles in the design and effective use of information systems.

• Databases and the World Wide Web,
• Management of semi-structured data, metadata and XML,
• Heterogeneous, distributed, parallel and mobile databases,
• Data warehousing and OLAP (online analytical processing),
• Data, text and web mining,
• Optimization of query processing and database architectures,
• Indexing, access methods and data structures,
• Temporal, spatial, scientific, statistical, biological databases, and
• Security and integrity control.

Data management comprises all the disciplines related to managing data as a valuable resource.

• Data governance, architecture, analysis, and design,
• Database management,
• Data security and quality management,
• Reference and master data management,
• Data warehousing and business intelligence management,
• Document, record, and content management, and
• Metadata management.