The 2^ndInternational Conference on Big Data Technology & Business Analytics (BDTBA-2026) invites researchers, academics, practitioners, and industry experts to submit their original research papers, case studies, and practical experiences for presentation at the conference. BDTBA-2026 aims to provide a premier platform for knowledge exchange, collaboration, and innovation in the fields of big data technology and business analytics areas which include but are not limited to:

I. Big Data Infrastructure and Technologies:

• Distributed storage systems
• Data processing frameworks (Hadoop, Spark, Flink, etc.)
• Stream processing and real-time analytics
• Scalable and efficient data processing algorithms
• Cloud-based big data architectures
• Big data security and privacy

II. Data Mining and Machine Learning:

• Supervised learning algorithms
• Unsupervised learning algorithms
• Deep learning and neural networks
• Text mining and natural language processing
• Time-series analysis and forecasting
• Graph analytics and network analysis

III. Big Data Applications and Case Studies:

• Healthcare analytics
• Financial analytics
• E-commerce and recommendation systems
• Social media analytics
• IoT data analytics
• Supply chain and logistics analytics

IV. Business Intelligence and Decision Support:

• Descriptive analytics for business reporting
• Diagnostic analytics for root cause analysis
• Predictive analytics for demand forecasting
• Prescriptive analytics for decision optimization
• Data visualization and interactive dashboards
• Business process optimization using analytics

V. Data Governance and Ethics:

• Data quality management
• Data integration and interoperability
• Regulatory compliance (GDPR, CCPA, etc.)
• Ethical considerations in big data analytics
• Responsible AI and bias mitigation
• Privacy-preserving techniques for data analytics