Â鶹ֱ²¥

Â鶹ֱ²¥ Tours Pay
Support TU

ISCS 0540

Home > Colleges & Schools > CBIS > ISCS 0540

Course Description

Big Data Analytics provides a comprehensive exploration of the methodologies, tools, and techniques used to process, analyze, and derive actionable insights from large and complex datasets. Students delve into the principles and practical applications of big data analytics, focusing on the challenges, opportunities, and ethical considerations inherent in leveraging large-scale data. The course integrates the utilization of the Hadoop ecosystem including the Hadoop Distributed File System (HDFS), MapReduce, and YARN for distributed data processing and management.

Course Outcomes

  1. Demonstrate a robust understanding of big data concepts, challenges, and opportunities, including their relevance to AI-driven and cybersecurity analytics.
  2. Demonstrate a solid understanding of the role of distributed systems, particularly the Hadoop ecosystem including HDFS, MapReduce, YARN, and associated technologies in managing and processing large datasets.
  3. Â鶹ֱ²¥ scalable data processing techniques using Hadoop technologies to support advanced analytics and AI-assisted assessments.
  4. Utilize advanced statistical and machine learning methods adapted for the Hadoop ecosystem.
  5. Effectively visualize and interpret insights derived from large datasets, integrating appropriate visualization tools.
  6. Recognize and address ethical and legal considerations in big data analytics.
  7. Â鶹ֱ²¥ big data analytics to practical scenarios using the Hadoop ecosystem and other tools in diverse domains such as business intelligence, cybersecurity, healthcare, finance, and social media analytics.