Introduction to Big Data Analysis

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Course Details

Title Introduction to Big Data Analysis
Field of Study Business, Engineering
Professor hanyang (
Type Academic course
Credits 3
Contact hours 45
Schedule Evening
Course code ISS1161
Course number 18117
Big Data is a solution to process and store large scale data. In this course, the students understand the practical knowledge and architecture of Big Data, identify how to process and store large scale data using Big Data solution with MapReduce, HDFS, Yarn, and Hive, and develop hands-on examples in Big Data Analysis.
• Understand the genesis of Big Data Systems • Understand practical knowledge of Big Data Analysis, Text Processing, Sentiment Analysis using Hive • Provide the student with a detailed understanding of effective behavioral and technical techniques in Cloud Computing on Big Data • Demonstrate knowledge of Big Data in industry and its Architecture • Learn data analysis, modeling and visualization in Big Data systems
  1. Mastery over MS-Windows File Management (Windows Explorer) facilities.
  2. Students are expected to attend every class session. Since Cloud computing and Big Data concepts are presented during class time, class attendance is essential for successful completion of assignments and tests.
  3. As a large part of the course involves work on cloud computing, it is essential that you utilize the time in class for discussion and exercises on the computer. If attendance is not possible for one of the class meetings, please contact the instructor beforehand.
  4. Students are expected to use the equipment of the computer labs on campus if you do not have a personal computer nor internet.
  1. Instructional materials (Lecture and Lab) from the instructor
  2. Hadoop: The Definitive Guide by Tom White
Materials Introduction to Big Data Analysis_Jongwook Woo
Lesson Plan
Last Updated April 19, 2022
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