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Cloud Computing & Big Data Applications: Part 2
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Cloud Computing & Big Data Applications: Part 2

Master big data analytics and cloud applications with Apache Spark, streaming systems, and machine learning frameworks.

Course Cost

Free course

Intermediate

Skill Level

17 Hours

Self-paced lessons

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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4.3

30,846 Enrolled

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English

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olive-leaves-logo

4.3

30,846 Enrolled

olive-leaves-logo

English

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

Big Data Analytics
Apache Spark
Distributed Computing
Machine Learning
Stream Processing
Graph Analytics
MapReduce
HDFS
NoSQL
Deep Learning

This course includes:

13.8 Hours PreRecorded video

1 quiz, 4 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Cloud Computing & Big Data Applications: Part 2

Intermediate

Skill Level

17 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.