Big Data Emerging Technologies
Master big data technologies including Hadoop, Spark, and Storm. Learn practical applications with IBM SPSS Statistics for data analysis.
Master big data technologies including Hadoop, Spark, and Storm. Learn practical applications with IBM SPSS Statistics for data analysis.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Emerging Technologies: From Smartphones to IoT to Big Data Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(276 ratings)
27,311 already enrolled
Instructors:
English
বাংলা, اردو, Tiếng Việt, 2 more
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What you'll learn
Understand big data market trends and major technology providers
Master core concepts of Hadoop, Spark, and Storm platforms
Implement machine learning algorithms using Spark ML
Analyze real-time data streams using advanced processing techniques
Gain practical experience with IBM SPSS Statistics
Apply big data solutions to real-world business challenges
Skills you'll gain
This course includes:
4.1 Hours PreRecorded video
10 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course explores big data technologies and their practical applications in modern business environments. Students learn about major big data platforms including Hadoop, Spark, and Storm, understanding their distinct features and use cases. The course covers data processing techniques, machine learning applications, and real-time analytics, culminating in hands-on experience with IBM SPSS Statistics for practical data analysis.
Big Data Rankings & Products
Module 1 · 57 Minutes to complete
Big Data & Hadoop
Module 2 · 1 Hours to complete
Spark
Module 3 · 1 Hours to complete
Spark ML & Streaming
Module 4 · 31 Minutes to complete
Storm
Module 5 · 35 Minutes to complete
IBM SPSS Statistics Project
Module 6 · 24 Hours to complete
Fee Structure
Instructor
Professor, School of Electrical & Electronic Engineering
Dr. Jong-Moon Chung is a professor at Yonsei University's School of Electrical and Electronic Engineering. He earned his B.S. and M.S. from Yonsei and a Ph.D. from Pennsylvania State University. Previously, he served as a professor at Oklahoma State University, where he directed the OCLNB and ACSEL labs. His research covers smartphone design, IoT, AR, SDN, mobile communications, and networking technologies. He has received numerous awards, including the ROK DAPA Director’s Award and the Regents Distinguished Research Award. Dr. Chung is a senior IEEE member and co-editor of multiple academic journals.
Testimonials
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4.7 course rating
276 ratings
Frequently asked questions
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