Learn how to explain data science services offered by cloud service providers or CSPs.
- There are numerous cloud service…providers or CSPs out there.…All the major CSPs offer data science PaaS products.…They all provide traditional database management systems…or DBMS as well as open source data storage…and processing tools such as Hadoop, Spark,…TensorFlow and Weka, through their own flavors…of PaaS environments.…What's nice about these services…is that you don't have to worry about installing…and maintaining the software.…
These resources are ready to be used 24/7.…Machine learning is an area where each…of these cloud vendors are developing…their unique solutions such a Microsoft Azure…Machine Learning Studio, IMB Watson Explorer,…Google Cloud Machine Learning Engine,…and Amazon SageMaker.…Another area of specialization is visualization.…Tableau is one of the leaders in this market…but there are also alternatives…such as Microsoft Power Business Intelligence,…Amazon QuickSight, and Google Data Studio.…
Amazon AWS, Google Cloud, IBM Cloud…and Microsoft Azure are some of the major…data science PaaS providers.…
- 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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