Learn about the fundamental concepts and importance of cloud computing and virtualization
- Most of us use cloud file storage services…such as Dropbox, iCloud,…Box, or OneDrive.…We collaborate with each other…using cloud-based applications like Google Docs.…These applications are often referred to…as Software as a Service, or SaaS.…Basically, cloud providers offer software solutions…to consumers through the internet.…Another option is Platform as a Service, or PaaS.…
This solution provides complete software development…and deployment environments for organizations.…While SaaS provides a finished product,…PaaS allows users to build their own cloud solutions…by providing resources,…including databases,…business intelligence and data analytics tools,…and programming interfaces…to other existing applications and services.…
IBM Cloud Foundry is a great example of PaaS.…Let's say that you'd like…to develop a business intelligence, or BI system…that leverages artificial intelligence, or AI.…When using the IBM Foundry platform,…developers can focus on their business logic…for connecting users and data to Watson,…
- Enabling technologies in data science
- Cloud computing and virtualization
- Installing and working with Proxmox, Hadoop, Spark, and Weka
- Managing virtual machines on Proxmox
- Distributed processing with Spark
- Fundamental applications of machine learning
- Distributed systems and distributed processing
- How Hadoop, Spark, and Weka can work together
Skill Level Beginner
Course organization1m 17s
1. Introduction to Data Science
2. Cloud Computing
3. Distributed File Systems
4. Distributed Processing
5. Machine Learning
6. Case Study
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