Copyright 2022
Designed by Ermin Systems.


Copyright 2022 ©
Designed by Ermin Systems.

SQL for Data Engineering

4 Weeks

SQL for Data Engineering

This four-week course is designed to take participants from basic to advanced SQL skills, crucial for any data engineering role. SQL (Structured Query Language) is the backbone of data manipulation and querying in many data environments. This course will cover essential SQL techniques, including database design, complex queries, indexing, and performance optimization, providing the skills needed to efficiently handle and query data.


Detailed Syllabus:


Week 1: SQL Basics

  • Introduction to relational databases and SQL.
  • Basic SQL syntax: SELECT, INSERT, UPDATE, DELETE.
  • Working with tables: CREATE, ALTER, DROP.
  • Simple queries: Filtering data using WHERE, sorting results with ORDER BY.


Week 2: Intermediate SQL Techniques

  • Joining tables: INNER JOIN, LEFT/RIGHT JOIN, FULL OUTER JOIN.
  • Aggregation functions and GROUP BY clauses.
  • Subqueries and derived tables.
  • Introduction to set operations: UNION, INTERSECT, EXCEPT.


Week 3: Advanced Query Techniques

  • Complex queries involving multiple joins and subqueries.
  • Advanced data manipulation with CASE statements and temporary tables.
  • Window functions for advanced data analysis tasks.
  • Common table expressions (CTEs).


Week 4: Indexing and Performance Optimization

  • Understanding indexes and their impact on database performance.
  • Best practices for creating and using indexes.
  • Query performance tuning: Analyzing and optimizing SQL queries.
  • Introduction to transaction management and concurrency control.


Learning Outcomes:

  • Develop a strong foundation in SQL and understand its role in data manipulation and querying within the context of data engineering.
  • Gain the ability to write complex SQL queries that can be used to extract, analyze, and manipulate data across various business scenarios.
  • Learn about performance optimization techniques to ensure efficient data processing and querying in large datasets.


This course includes a blend of theoretical concepts and practical applications, featuring hands-on exercises, real-world case studies, and a project in the final week where participants will apply their SQL skills to optimize a set of complex queries. This approach ensures that students not only learn SQL syntax but also understand how to apply these skills effectively in their data engineering roles.

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