Location
Addis Ababa University, Ethiopia
Start Date
8-2019 1:30 PM
End Date
8-2019 3:00 PM
Description
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of data nowadays worldwide. Thus, Big Data has now become a hot emerging paradigm in computing environments. Issues in scalability, interoperability, platform independency, adaptability and reusability in big data systems are considered the main current challenges. This raises the need for appropriate software engineering approaches to develop effective and efficient Big Data system models, i.e. an approach which reduce investment cost and development time. Today, software engineering has emerged advanced methodologies to solve problems from different perspectives, while still further research is needed to overcome new challenges raised in emerging technologies, i.e. Big Data. Thus, the author believe model-driven engineering technique is the appropriate approach to alleviate complexities in modeling Big Data system.
Included in
Model-Driven Engineering for Big Data
Addis Ababa University, Ethiopia
Accessing heterogeneous and huge amount of data through different sources heavily impacts users of data nowadays worldwide. Thus, Big Data has now become a hot emerging paradigm in computing environments. Issues in scalability, interoperability, platform independency, adaptability and reusability in big data systems are considered the main current challenges. This raises the need for appropriate software engineering approaches to develop effective and efficient Big Data system models, i.e. an approach which reduce investment cost and development time. Today, software engineering has emerged advanced methodologies to solve problems from different perspectives, while still further research is needed to overcome new challenges raised in emerging technologies, i.e. Big Data. Thus, the author believe model-driven engineering technique is the appropriate approach to alleviate complexities in modeling Big Data system.
