𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗦𝗤𝗟 𝗗𝗮𝘆 𝟯 | 𝗝𝗼𝗶𝗻𝘀, 𝗦𝗲𝘁 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗠𝘂𝗹𝘁𝗶-𝗧𝗮𝗯𝗹𝗲 𝗤𝘂𝗲𝗿𝘆𝗶𝗻𝗴

𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗦𝗤𝗟 𝗗𝗮𝘆 𝟯 | 𝗝𝗼𝗶𝗻𝘀, 𝗦𝗲𝘁 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗠𝘂𝗹𝘁𝗶-𝗧𝗮𝗯𝗹𝗲 𝗤𝘂𝗲𝗿𝘆𝗶𝗻𝗴

Welcome to Day 3 of Databricks SQL Week, organized by Databricks User Group Noida.

In this session, we learn how to combine data from multiple tables using Joins and explore powerful SQL set operations used in real-world analytics and data engineering projects.

Topics Covered:

• Why Joins Are Important
• INNER JOIN
• LEFT JOIN
• RIGHT JOIN
• FULL OUTER JOIN
• CROSS JOIN
• SELF JOIN
• Multi-Condition Joins
• EXISTS & NOT EXISTS
• UNION ALL & UNION
• INTERSECT
• EXCEPT
• Join Pitfalls & Fanout
• Date Spine Pattern

Resources and SQL Notebook:
GitHub Repository: https://github.com/databricksusergroup-sys/Databricks-SQL-Week_24_May_26

Join the Databricks User Group Noida Community:
https://usergroups.databricks.com/noida-databricks-user-group/

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Subscribe for upcoming sessions covering Aggregations, Window Functions, Query Optimization, Delta Lake and Advanced Databricks SQL concepts.

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Видео 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 𝗦𝗤𝗟 𝗗𝗮𝘆 𝟯 | 𝗝𝗼𝗶𝗻𝘀, 𝗦𝗲𝘁 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗠𝘂𝗹𝘁𝗶-𝗧𝗮𝗯𝗹𝗲 𝗤𝘂𝗲𝗿𝘆𝗶𝗻𝗴 канала Databricks User Group Noida