Building Data Solutions with AWS

Cloud computing is transforming the way businesses evolve. Most of the technology-based companies are migrating to cloud platforms to scale up their productivity by availing a wide range of products and services from cloud service providers. With an exponential increase in data solution-based companies, the demand for cloud platforms has also increased. Due to this increasing demand for cloud-based services, the demand for professionals skilled in cloud-based services is also increasing. AWS is one of the most popularly used cloud platforms worldwide. This workshop focuses on cloud-based solutions by AWS specifically for data-based requirements. In this course, you will take a deep dive into all the important features and services provided by AWS for the storage, handling, and implementation of data. AWS provides state-of-the-art storage facilities along with features to create pipelines for automating the flow and transformation of data across the different services. Overall, this course will let the participants master how to build data-based solutions with AWS.

Outline

1. Introduction to Cloud Technology
2. Overview of Cloud Computing
3. Cloud Services and Deployment Models
4. IaaS, SaaS, and PaaS
5. Benefits of using cloud platforms
6. Amazon Web Services (AWS)
7. Introduction to AWS
8. AWS Features
9. AWS Services
10. Data storage
11. Relational Database Service (RDS)
12. Amazon DocumentDB
13. DynamoDB
14. Simple Storage Service (S3)
15. AWS Lake Formation
16. Elastic Compute Cloud (EC2)
17. EC2 and Instance Types
18. Launching EC2 Instances
19. Deploying Python applications with EC2
20. Data pipelines
21. Define data nodes
22. Schedule compute activities
23. Activate and monitor
24. Data Analytics with AWS
25. Athena
26. AWS Glue
27. Elastic MapReduce (EMR)
28. AWS Management and Governance

Note: ADaSci Members get 50% discount and Premium Members get 100% discount on the course.