JBDTBA is a peer reviewed journal of Computer Science domain published by MAT Journals Pvt. Ltd. It is a print and e-journal focused towards the rapid publication of research and review papers based on Big Data Technology and Business Analytics. It includes topics related to Capturing Data, Data Storage, Data Analysis, Search, Sharing, Transfer, Visualization, Querying, Updating, Information Privacy, and Data Source, Statistical Computing, R Programming Language , Natural Language Processing (NLP), MapReduce, Hadoop Distributed File System (HDFS), Database Management System (DBMS), Cloud Computing, Artificial Intelligence, Algorithm, Data Lake, Hadoop, Dashboards, Data Virtualization, Data Supply Chains, Data Mining, Python, Structured Data, Architectures for Massively Parallel Processing, Distributed File Systems and Databases; and Scalable Storage Systems. The contributions related to Social Media Analytics, Statistics and Econometrics in Business Analytics, Use of Novel Data Science Techniques in Business Analytics, Robotics and Autonomous Vehicles, Marketing Analytics, Methods of Decision Making, Supply Chain Analytics, Transportation Analytics, Ethical and Social Implications of Business Analytics and AI, Applications of AI and Machine Learning Methods in Business Analytics are also welcome.