Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
- Offered byCoursera
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud at Coursera Overview
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
at Coursera
Duration | 15 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud at Coursera Highlights
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
at Coursera
- Requires an effort of 3<U+0096>4 hours per week
- Video transcripts available in English and Korean
- Earn a certificate from University of Illinois
- Learn from experts of University of Illinois
Read more
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud at Coursera Course details
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
at Coursera
Skills you will learn
More about this course
- Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data!
- In this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information.
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud at Coursera Curriculum
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
at Coursera
Week-1: Course Orientation
Module 1: Spark, Hortonworks, HDFS, CAP
Week-2: Module 2: Large Scale Data Storage
Week-3: Module 3: Streaming Systems
Week-4: Module 4: Graph Processing and Machine Learning
Other courses offered by Coursera
– / –
3 months
Beginner
View Other 6715 Courses
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
at Coursera
Student Forum
Anything you would want to ask experts?
Write here...