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Step-by-Step Guide to Creating an AWS RDS Database Instance

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 Amazon Relational Database Service (AWS RDS) makes it easy to set up, operate, and scale a relational database in the cloud. Instead of managing servers, patching OS, and handling backups manually, AWS RDS takes care of the heavy lifting so you can focus on building applications and data pipelines. In this blog, we’ll walk through how to create an AWS RDS instance , key configuration choices, and best practices you should follow in real-world projects. What is AWS RDS? AWS RDS is a managed database service that supports popular relational engines such as: Amazon Aurora (MySQL / PostgreSQL compatible) MySQL PostgreSQL MariaDB Oracle SQL Server With RDS, AWS manages: Database provisioning Automated backups Software patching High availability (Multi-AZ) Monitoring and scaling Prerequisites Before creating an RDS instance, make sure you have: An active AWS account Proper IAM permissions (RDS, EC2, VPC) A basic understanding of: ...
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SAS career these are different job roles

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What is SAS?
Originating in 1966 at North Carolina State University, SAS is a proprietary 4th generation programming language specifically designed for data analysis. Data analysis includes data management, ETL, descriptive statistics, plots and graphics, inferential statistics, data mining, forecasting, etc.. In addition to the SAS programming language, SAS Institute, its parent company, also sells solutions built on top of the SAS language.

 SAS career
Many people assumptions about SAS: Some people confuse SAS with the common database query language called “SQL”, thinking that both languages manage data in some way. While SAS may be used for database querying (reading/writing data to databases), this is only a tiny fraction of SAS’s capabilities. To give some scope, the entire SQL language is available in SAS as but one “procedure” (think of a procedure as a bundle of functionality).
SKILL Set: What It Is: Pronounced “sass,” this software helps workers perform a variety of tasks, including business forecasting, project management and statistical analysis. 
Different roles in SAS Jobs:
  1. Business analyst
  2. Clinical data programmer
  3. Data Analyst
  4. Data Quality Steward
  5. Data Scientist
  6. Data warehouse architect
  7. Database administrator
  8. Database programmer
  9. Developer
  10. ETL specialist
  11. Financial analyst
  12. IT Manager
  13. Marketing analyst
  14. Platform Administrator
  15. Programmer
  16. Project Manager
  17. Quality analyst
  18. Report programmer
  19. Reporting Analyst
  20. Securities analyst
  21. Statistician
  22. Statistics programmer
  23. Systems/network programmer

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