The course is part of this learning path
In this course we will explore the Analytics tools provided by AWS, including Elastic Map Reduce (EMR), Data Pipeline, Elasticsearch, Kinesis, Amazon Machine Learning and QuickSight which is still in preview mode.
We will start with an overview about Data Science and Analytics concepts to give beginners the context they need to be successful in the course.The second part of the course will focus on the AWS offering for Analytics, this means, how AWS structures its portfolio in the different processes and steps of big data and data processing.
As a fundamentals course, the requirements are kept simple so you can focus on understanding the different services from AWS. But, a basic understanding about the following topics is necessary:
- As we are talking about technology and computing services, general IT knowledge is necessary, by general IT I mean the basics about programming logic, algorithms and learning or working experience in the IT field.
- We will give you an overview about data science concepts, but if these concepts are already familiar to you, it will make your journey smoother.
- It is not mandatory but it would be helpful to have a general knowledge about AWS, most specifically about how to access your account and services such as S3 and EC2.
I would like to recommend that you take 2 courses from our portfolio that can help you better understand the AWS basics if you are just beginning with it:
If you have thoughts or suggestions for this course, please contact Cloud Academy at firstname.lastname@example.org.
About the Author
Fernando has a solid experience with infrastructure and applications management on heterogeneous environments, working with Cloud-based solutions since the beginning of the Cloud revolution. Currently at Beck et al. Services, Fernando helps enterprises to make a safe journey to the Cloud, architecting and migrating workloads from on-premises to public Cloud providers.