University of Illinois at Urbana-Champaign
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
University of Illinois at Urbana-Champaign

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

This course is part of Cloud Computing Specialization

Taught in English

Some content may not be translated

Reza Farivar
Roy H. Campbell

Instructors: Reza Farivar

30,489 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.3

(327 reviews)

19 hours (approximately)
Flexible schedule
Learn at your own pace
Prepare for a degree

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Assessments

5 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.3

(327 reviews)

19 hours (approximately)
Flexible schedule
Learn at your own pace
Prepare for a degree

See how employees at top companies are mastering in-demand skills

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This course is part of the Cloud Computing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course

You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.

What's included

1 video4 readings1 quiz1 discussion prompt1 plugin

In Module 1, we introduce you to the world of Big Data applications. We start by introducing you to Apache Spark, a common framework used for many different tasks throughout the course. We then introduce some Big Data distro packages, the HDFS file system, and finally the idea of batch-based Big Data processing using the MapReduce programming paradigm.

What's included

13 videos1 reading1 quiz

In this module, you will learn about large scale data storage technologies and frameworks. We start by exploring the challenges of storing large data in distributed systems. We then discuss in-memory key/value storage systems, NoSQL distributed databases, and distributed publish/subscribe queues.

What's included

24 videos1 reading1 quiz

This module introduces you to real-time streaming systems, also known as Fast Data. We talk about Apache Storm in length, Apache Spark Streaming, and Lambda and Kappa architectures. Finally, we contrast all these technologies as a streaming ecosystem.

What's included

18 videos1 reading1 quiz

In this module, we discuss the applications of Big Data. In particular, we focus on two topics: graph processing, where massive graphs (such as the web graph) are processed for information, and machine learning, where massive amounts of data are used to train models such as clustering algorithms and frequent pattern mining. We also introduce you to deep learning, where large data sets are used to train neural networks with effective results.

What's included

18 videos1 reading1 quiz1 discussion prompt1 plugin

Instructors

Instructor ratings
4.8 (17 ratings)
Reza Farivar
University of Illinois at Urbana-Champaign
5 Courses65,497 learners
Roy H. Campbell
University of Illinois at Urbana-Champaign
5 Courses66,300 learners

Offered by

Recommended if you're interested in Computer Security and Networks

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Taking this course by University of Illinois at Urbana-Champaign may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.

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4.3

327 reviews

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Reviewed on Oct 10, 2016

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4

Reviewed on May 22, 2020

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