Course Description
Big Data is larger, more complex data sets usually from new data sources and can be so voluminous that processing software is unable to handle it. Cloud infrastructure can be designed to process and interpret Big Data in real-time. In these lessons you will learn the concept of Big Data and how to run Big Data use cases on the public cloud. You will also learn how to run machine learning use cases for the public cloud.
What You'll Learn
- Run Big Data use cases on the public cloud
- Apply machine learning use cases for the public cloud
- Design generic machine learning for public cloud architecture
- Scale cloud resources and define auto-scaling requirements
- Reduce costs on public cloud infrastructure
Key Takeaways
- Big Data refers to larger, more complex data sets, usually from new data sources, that can be so voluminous that processing software is unable to handle it.
- Cloud infrastructure can be designed to process and interpret Big Data in real-time.
- The course covers running both Big Data and machine learning use cases on the public cloud.
- Scalable architecture involves defining auto-scaling requirements on the public cloud.
- Public cloud infrastructure can be configured to reduce costs.
Frequently Asked Questions
What does this course cover?
It covers the concept of Big Data, how to run Big Data use cases on the public cloud, how to run machine learning use cases for the public cloud, how to scale cloud resources, and how to reduce costs on public cloud.
What is Big Data as defined in this course?
Big Data is larger, more complex data sets usually from new data sources that can be so voluminous that processing software is unable to handle it.
What skills will I gain from this course?
You will gain skills in Big Data, Big Data Analytics, Cloud Applications, Cloud Infrastructure, Cloud Services, and Public Cloud.
What lessons are included in this course?
The lessons are: How to Run Big Data on the Public Cloud; Generic Machine Learning and How to Design It for Public Cloud Architecture; Scalable architecture and Defining Auto-Scaling Requirements on the Public; and Cost Reduction on the Public Cloud Infrastructure.
How can cloud infrastructure handle Big Data?
Cloud infrastructure can be designed to process and interpret Big Data in real-time.
