b/tomorrowland2 by Snorgared

Practical Hands-on Microsoft SQL Joins : SQL Server ,SSMS

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Practical Hands-on Microsoft SQL Joins : SQL Server ,SSMS

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Instructors: Bluelime Learning Solutions
2 sections • 21 lectures • 1h 51m total length
Video: MP4 1280x720 44 KHz | English + Sub
Updated 11/2022 | Size: 714 MB

Join data from multiple database tables in Microsoft SQL Server

What you'll learn
Query Data From Multiple Tables Using JOIN
Combine data using INNER JOIN
Combine data using LEFT JOIN
Combine data using RIGHT JOIN
Combine data using FULL JOIN

Requirements
Requirements covered in the course. ( SQL Server )
Description
SQL Join statement is used to combine data or rows from two or more tables based on a common field between them. Different types of Joins are as follows

INNER JOIN

LEFT JOIN

RIGHT JOIN

FULL JOIN

The INNER JOIN keyword selects all rows from both the tables as long as the condition is satisfied. This keyword will create the result-set by combining all rows from both the tables where the condition satisfies i.e value of the common field will be the same.

The OUTER JOIN returns all the rows of the table on the left side of the join and matches rows for the table on the right side of the join. For the rows for which there is no matching row on the right side, the result-set will contain null. LEFT JOIN is also known as LEFT OUTER JOIN.

RIGHT JOIN is similar to LEFT JOIN. This join returns all the rows of the table on the right side of the join and matching rows for the table on the left side of the join. For the rows for which there is no matching row on the left side, the result-set will contain null. RIGHT JOIN is also known as RIGHT OUTER JOIN.

FULL JOIN creates the result-set by combining results of both LEFT JOIN and RIGHT JOIN. The result-set will contain all the rows from both tables. For the rows for which there is no matching, the result-set will contain NULL values.

Who this course is for
Beginners to SQL
Beginner Data Analyst
Beginner Data Scientist

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Practical Hands-on Microsoft SQL Joins : SQL Server ,SSMS

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