Join And Combine Data With Sql In Postgresql

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Join And Combine Data With Sql In Postgresql
Released 1/2026
By Gerald Britton
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 26m | Size: 228 MB [/center]
Combine data in PostgreSQL using joins, set operations, and subqueries. Learn INNER/OUTER/NATURAL joins, UNION/INTERSECT/EXCEPT with ALL, CTEs, and EXPLAIN to validate results for accurate analytics.
What you'll learn
Teams need accurate answers that span multiple tables and queries. Choosing the right way to combine data in PostgreSQL is essential.
In this course, Join and Combine Data with SQL in PostgreSQL, you'll gain the ability to combine relational data accurately and efficiently in PostgreSQL.
First, you'll explore core joins, including INNER, LEFT/RIGHT/FULL, CROSS, NATURAL, and when to use USING vs. ON.
Next, you'll discover set operations-UNION, INTERSECT, and EXCEPT-plus their ALL variants, column-alignment rules, NULL behavior, and correct ORDER BY placement.
Finally, you'll learn how to apply subqueries and simple CTEs to structure complex queries and use EXPLAIN to validate results and plans.
When you're finished with this course, you'll have the skills and knowledge of ANSI-compliant joins, set operations, subqueries, and CTEs in PostgreSQL needed to combine data with confidence for real-world analytics.

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