Cloud Computing & Big Data Applications: Part 2
Master big data analytics and cloud applications with Apache Spark, streaming systems, and machine learning frameworks.
Master big data analytics and cloud applications with Apache Spark, streaming systems, and machine learning frameworks.
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 Cloud Computing 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.
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What you'll learn
Process and analyze large-scale data using Apache Spark
Implement distributed storage and streaming systems
Develop machine learning applications in the cloud
Work with graph processing frameworks
Design scalable big data architectures
Skills you'll gain
This course includes:
13.8 Hours PreRecorded video
1 quiz, 4 assignments
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FullTime access
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There are 5 modules in this course
This comprehensive course explores advanced cloud computing applications focusing on big data analytics. The curriculum covers major frameworks including Spark, Hadoop ecosystems, and streaming systems. Students learn about distributed storage systems, real-time data processing, graph analytics, and machine learning applications in the cloud. The course includes hands-on experience with technologies used in industry, from HDFS and MapReduce to modern streaming architectures and deep learning frameworks.
Course Orientation
Module 1 · 2 Hours to complete
Spark, Hortonworks, HDFS, CAP
Module 2 · 2 Hours to complete
Large Scale Data Storage
Module 3 · 5 Hours to complete
Streaming Systems
Module 4 · 4 Hours to complete
Graph Processing and Machine Learning
Module 5 · 4 Hours to complete
Fee Structure
Instructors
Data Engineering Manager at Capital One, Adjunct Research Assistant Professor of Computer Science
Dr. Reza Farivar is a Data Engineering Manager at Capital One and an Adjunct Research Assistant Professor of Computer Science at the University of Illinois Urbana-Champaign. He earned his PhD in Electrical and Computer Engineering from the University of Illinois in 2012, where his research focused on cloud computing, big data platforms, and iterative algorithms. His expertise extends to customized algorithms for computational accelerators like GPUs.In addition to his academic role, Dr. Farivar co-founded Accelerated Genomics, a startup dedicated to developing GPU-accelerated big data algorithms in bioinformatics. He has also worked as a Senior Software Development Engineer at Yahoo, contributing to the development of their big data platforms and frameworks such as Apache Storm and Spark.Dr. Farivar teaches several courses on Coursera, including "Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure" and "Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud." His work in both industry and academia reflects a strong commitment to advancing the fields of cloud computing and big data, making significant contributions through research, teaching, and practical applications.
Professor of Computer Science
Roy H. Campbell is a distinguished Professor of Computer Science at the University of Illinois Urbana-Champaign, where he leads the System Software Research Group and serves as the Sohaib and Sara Abbasi Professor. He is also the director of the NSA Designated Center of Excellence and the Center for Advanced Research in Information Security (CARIS). With a Ph.D. obtained from Newcastle University in 1976, Campbell has made significant contributions to the fields of operating systems, cloud computing, and security.Throughout his career, Campbell has been actively involved in research focusing on cloud computing systems and applications, particularly in relation to security and distributed systems. He has received numerous accolades for his work, including the NSF CAREER award in 2005. His teaching includes popular courses such as "Cloud Computing Applications," which covers both cloud systems and big data applications. Additionally, he has played a pivotal role in shaping educational programs related to information assurance and security.Campbell's extensive experience includes serving as program co-chair for leading conferences in distributed systems and contributing to various initiatives aimed at enhancing cybersecurity education. His commitment to research and education continues to influence both students and professionals in the field of computer science.
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