The scope of the workshop includes several aspects of conceptual modeling in data-driven paradigm, but is not limited to:

• Agile modeling
• Advanced applications with MapReduce paradigm
• Application design
• Big Data Analytics
• Business Process Modeling
• Business Intelligence applications's modeling
• Conceptual modeling approaches (UML, EER, etc.) for Big Data
• Conceptualization for data-drive paradigm
• Data-driven businesses
• Enterprise modeling
• Fundamentals of Hadoop: data integrity and file-based data structures
• Hadoop versus MapReduce
• Hive and Hadoop: Architecture and File System
• Hive as a tool to enable easy data extract/transform/load (ETL)
• Hive and Hadoop: examples of applications (yahoo, facebook, etc)
• Information packaging
• Knowledge management for big data
• Metamodeling
• Measurement for social network data
• Need to develop a MapReduce applications
• New modeling approaches for Big Data
• Interface design
• Model-driven development methodologies and approaches
• Model transformations
• Provenance modeling
• Process modeling
• Relational Database Management System-RDBMS versus MapReduce
• Requirements modeling for Web-based applications
• Social networking, Security and privacy data science
• Software As a Service (SaS) modeling solutions
• Use of Hive and Hadoop in social networks
• Visualization of big data