Today big data or data science is emerge. The big data issue for big industries such as telecommunication, banking, healthcare and big educations environments such as research universities. The aim of this talk is presenting main elements of big data, current research work challenges issues in architecture design, store data and information/data retrieve. Big database types such as cloud, big data security, software engineering solutions and big data search engines reviewed. In addition, with the exponential growth of data collected and available online, the need to properly sort and use that data efficiently arises. This poses new challenges to agencies and almost all businesses. These huge amounts of data known as big data. In this talk, six advanced big data scenarios have been introduced and under research development. Best machine learning techniques have been selected and used in these scenarios for advanced pre/post processing. This talk will present these big data scenarios by name with detailed pre/post processing solutions. The scenarios of big data usage are countless and almost every company has to deal with this problem. However, big data have other form of definition in term of quality and quantity. Therefore, big data techniques such as machine learning must have a reduction algorithms tools not compression techniques to obtain useful data. Keywords: big data, machine learning, data analytic, reduction, quality, quantity
Prof. Dr. Abdurazzag Ali Aburas received his Bachelor’s degree in Computer Sciences Tripoli University, Tripoli-Libya in 1987. He obtained his Master degree in Computer & Information Technology and PhD in Digital Image Processing from Dundee University and De Montfort University, UK in 1993 and 1997 respectively. He worked in Jordan and UAE universities for five years, Electrical and Computer Engineering Department, faculty of Engineering, International Islamic University Malaysia and International University of Sarajevo. He worked as visiting full Professor at Tecnológico De Monterrey, San Luis Potosi Campus, Mexico. At present time, He is working at University of KwaZulu Natal, School of Engineering, Howard college campus, Durban, South Africa. He has more than 50 publications in different international conferences and several papers in international journals. He has two research patents in image processing filed. Recently, he gives consultation for IT Company as senior software developer. His areas of research interest are big data/data science, Curriculum development, Digital signal/image, compression, pattern recognition, Human Mobile Interaction, Algorithms. He is a member in IEEE, HCI-UK, ARISE and IMA Societies. He served as member board of studies of Engineering Curriculum development (Review and Improvement). Dept. of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia. He introduced new course curriculums for HMI (2015), Programming for Engineering (2008) and Big data fundamentals (2017). He established Cloud Computing and Mobile Research Group (CCMRG) and Software Engineering Research Group (SERG) (2006-2009), IIUM. At present time, he is coordinator of Big data research group (UKZNBD) at UKZN. He has supervised a number of PhD and MSc research project (2006-2011) and currently supervising new PhD and MSc research project at UKZN (2018). He has published new book based Engineering Education (2013) and Human Mobile Interaction (2015) and his third book on Data Engineering in progress.