| File Name: | SQL for Data Engineering: Build Real Data Pipelines |
| Content Source: | https://www.udemy.com/course/sql-for-data-engineering-real-world-pipeline-enterprise-s/ |
| Genre / Category: | Programming |
| File Size : | 1.2 GB |
| Publisher: | Rahul Kumar Sharma |
| Updated and Published: | March 13, 2026 |
SQL is one of the most important skills for data engineers, data analysts, and backend developers. In this course, you will learn how SQL is used in real-world data engineering workflows.
Instead of only learning theory, we will build a practical SQL pipeline step by step using PostgreSQL. You will understand how data flows through raw, staging, and analytics layers, which is a common architecture used in modern data platforms.
This course focuses on writing practical SQL queries and understanding how SQL is used to transform and analyze data in real production environments.
What you will learn:
- Build a complete SQL data pipeline with raw, staging, and analytics layers
- Write powerful SQL queries using joins, group by, and aggregations
- Use window functions such as ROW_NUMBER, RANK, and DENSE_RANK
- Apply Common Table Expressions (CTEs) to structure complex queries
- Work with subqueries and correlated queries
- Combine datasets using UNION, INTERSECT, and EXCEPT
- Use CASE statements and handle NULL values in SQL
- Design analytics tables used for reporting and dashboards
Who this course is for:
- Beginners who want to learn SQL for data engineering
- Data analysts who want to strengthen their SQL skills
- Developers who want to understand data pipelines
- Anyone preparing for SQL or data engineering interviews
Tools used in this course:
- PostgreSQL
- DBeaver
- SQL
DOWNLOAD LINK: SQL for Data Engineering: Build Real Data Pipelines
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