Work place: Information and Communication Technology, Rangsit University International College, Pathumthani, Thailand
Dr. Herison Surbakti has dedicated over a decade to teaching and supervising international undergraduate and postgraduate students, particularly in Southeast Asia, notably in Indonesia, Malaysia, and Thailand. Within the realm of Data Science, Dr. Surbakti's research interests gravitate towards Data Analytics, Business Intelligence, and Knowledge Management. He ardently explores groundbreaking approaches within these domains, striving to bridge the divide between academia and industry.
DOI: https://doi.org/10.5815/ijitcs.2023.05.03, Pub. Date: 8 Oct. 2023
The rapid growth of data in various industries has led to the emergence of big data analytics as a vital component for extracting valuable insights and making informed decisions. However, analyzing such massive volumes of data poses significant challenges in terms of storage, processing, and analysis. In this context, the Hadoop ecosystem has gained substantial attention due to its ability to handle large-scale data processing and storage. Additionally, integrating machine learning models within this ecosystem allows for advanced analytics and predictive modeling. This article explores the potential of leveraging the Hadoop ecosystem to enhance big data analytics through the construction of machine learning models and the implementation of efficient data warehousing techniques. The proposed approach of optimizing stock price by constructing machine learning models and data warehousing empowers organizations to derive meaningful insights, optimize data processing, and make data-driven decisions efficiently.[...] Read more.
Subscribe to receive issue release notifications and newsletters from MECS Press journals