[ FreeCourseWeb ] Apress - Selecting Data from Multiple Tables

[ FreeCourseWeb.com ] Selecting Data from Multiple Tables

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MP4 | Video: AVC 1920 x 1080 | Audio: AAC 48 KHz 2ch | Duration: 00:44:33 | 449.52 MB
Genre: eLearning | Language: English
Extend your SELECT statements to retrieve data simultaneously from multiple tables in a SQL Server database. This video covers these joins and shows how they are fundamental to getting maximum value from any relational database engine. It is impossible to write professional-level queries without a solid grounding in joins. Selecting Data from Multiple Tables helps you to attain that level of expertise.You will start with an introduction to relationships and joins with a look at the differences between a parent and child table. You’ll learn how to define rows in two tables to correspond to each other through a common value column, or through a set of such columns held in common in both tables. The examples show that such relationships can record and store a wide variety of master-detail data points such as, for example, the line items in a customer order.Segments in the video examine the major different join types, including inner joins, left and right outer joins, and full outer joins. You’ll also work with self joins and cross joins. Finally, the video goes through various union operations that you can also use to combine rows from two or more tables, but in a manner different from a join. Union operations covered in this video include the basic union, and intersection and exception operations.What You Will Learn
Identify parent key and foreign keys to establish table relationships
Return parent rows even in the absence of corresponding child rows
Correctly choose between LEFT, RIGHT, and FULL outer joins
Query for rows that are held in common between two tables
Combine rows from multiple result sets using union operations
Who This Video Is ForBusiness analysts, developers, and others whose career will benefit from knowledge of the SQL language for accessing Microsoft SQL Server databases and the data they contain.

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