Big Data Analytics for Business and Beyond (Beginner Level)
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IntroductionThis course is designed to expose the participants, with the concept, techniques, issues and challenges involved in Big Data storage. Exposure will also be provided to the participants on big data characteristics, data analysis and management techniques, which is applied to massive datasets that enables real-time decision making in distributed environments, and scientific discovery at large scale. In particular, the participants would be able to examine the big data management techniques that make possible analysis of large volumes of data at the end of the course. At the same time, the course prepares the participants to be technically competent in analyzing and managing big data.
ObjectivesThe course is aimed:
- To offer the knowledge and skills to examine big data using techniques that allow analysis of large volumes of data in near real time
TrainersJafreezal Jaafar is an Associate Professor and former Head of the Computer and Information Sciences Department at Universiti Teknologi PETRONAS, Malaysia. He holds a PhD from University of Edinburgh, UK (2009). His main research areas include Big Data Analytics, Soft Computing and Software Engineering. He has secured a number of research projects from the industry and government agencies. Based on his publication track records he had been appointed as the Chief Editor and reviewer for several journals, and also the Chair, Technical Chair and committee for several International Conferences. He is also active in IEEE Computer society, Malaysia Chapter and has been appointed as the Executive Committee for 2016 and 2017. Dr. Izzatdin Abdul Aziz is a researcher at the High Performance Cloud Computing Centre (HPC3) in The Universiti Teknologi PETRONAS (UTP), where he focuses in solving complex upstream Oil and Gas (O&G) industry problems from the view point of computer sciences. Dr. Izzatdin currently serves as the deputy head of the Computer and Information Sciences Department in UTP. He obtained his Ph.D in Information Technology from Deakin University, Australia working in the domain of hydrocarbon exploration and cloud computing. He is working closely with O&G companies in delivering solutions for complex problems such as Offshore O&G pipeline corrosion rate prediction, O&G pipeline corrosion detection, securing data on clouds and designing and implementing Metocean prediction system and bridging upstream and downstream oil and gas businesses through data analytics. Additionally, he is also working on Big Data transmission, security and optimization problems on High Performance Clouds. Dr Norshakirah Aziz is a lecturer at the Computer and Information Sciences Department, Universiti Teknologi PETRONAS (UTP). She has a total of 14 years experience in Academic Institutions and the Industry. Her PhD topic was related to e-Supply Chain Management Integration & Collaboration. Her industry experience is related to Business Intelligence and web based expert system.
- Module 1: What is Big Data? How does it differ from Regular Analytics?
- Module 2: Big Data issues, challenges and implementation.
- Module 3: What are the Big Data Analytic techniques?
- Module 4: Big Data and Stream Analytics.
Download the Course Brochure: BIG DATA FOR BEGINNERS COURSE BROCHURE
REGISTRATION IS NOW OPENTo register, download the CAPE Professional Short Course Registration Form and email the completed form to firstname.lastname@example.org.
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Introduction This course is designed to expose the participants, with the concept, techniques, issues and challenges involved in Big Data storage. Exposure will also be provided to the participants on big data characteristics, data analysis and management techniques, which is […]
Price : 2,150 for Professional (Discount available for students, group registration, PETRONAS staff, and UTP alumni MYR
Max Availability : 24
Location : Level 16, Menara 2, Menara Kembar Bank Rakyat, Jalan Travers, 50470 Kuala Lumpur