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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
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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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