10th International Conference on Big Data Technologies (ICBDT 2027)

The 10th International Conference on Big Data Technologies (ICBDT 2027) advances big data technologies across architecture, analytics, security, governance, visualization, and large-scale industry applications.

Key Topics

• Big Data Analytics and Machine Learning
  • Deep learning and ensemble methods
  • Time-series and financial data analysis
  • Anomaly detection and stream analytics
  • Graph-based and transfer learning models
• Big Data Security and Privacy
  • Blockchain-based security solutions
  • Differential and homomorphic encryption
  • Privacy-preserving data mining
  • Identity management and security auditing
• Big Data Architecture and Infrastructure
  • Distributed file systems and storage virtualization
  • Cloud, edge, and serverless computing environments
  • High-performance and energy-efficient infrastructures
  • Containerization and software-defined networking
• Big Data Visualization and Interaction
  • Interactive and real-time visualization techniques
  • Geospatial and high-dimensional data visualization
  • Visual analytics for decision support
  • VR, AR, and collaborative visualization approaches
• Big Data Management and Governance
  • Data governance frameworks and compliance
  • Metadata, cataloging, and data lineage management
  • Data quality and lifecycle management
  • Cost-effective and cross-organizational governance strategies
• Big Data in Industry Applications
  • Smart manufacturing and Industry 4.0 systems
  • Healthcare diagnostics and treatment analytics
  • Smart cities, transportation, and logistics planning
  • Energy management, agriculture, and insurance analytics

Who should Attend

• Big data researchers and academic professionals
• Data scientists and machine learning specialists
• Cloud, infrastructure, and platform engineers
• Cybersecurity and data privacy experts
• Industry practitioners using large-scale data systems
• Technology leaders and data governance managers
• Graduate students and doctoral researchers