Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Data engineering for big data applications
- Information systems architecture and design
- Data integration techniques and challenges
- Real-time data processing frameworks
- Data warehousing and analytics solutions
- Cloud-based data engineering practices
- Data governance and management strategies
- Data quality assurance methodologies
- NoSQL databases and their applications
- Data engineering for machine learning
- Data pipelines and workflow automation
- Data modeling techniques in information systems
- Data visualization for decision making
- Data ethics and compliance issues
- Data engineering in IoT ecosystems
- Distributed systems for data processing
- Scalable data architectures for enterprises
- Data engineering in financial services
- Trends in information systems development
- Future directions in data engineering
All papers must be original and not previously published or submitted elsewhere.
