This course is aimed at those who need to extract information from a relational database system.
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1 (SQL) SQL Server Database Querying Course Description: This course is aimed at those who need to extract information from a relational database system. Although it provides an overview of relational database design principals it does not cover the teaching of formal database design processes and database/table creation. The course assumes no previous knowledge of SQL and SELECT statements, and takes delegates from simple queries, through to complex queries involving multiple tables, introducing the vast collection of built-in functions along the way. This course is suited to Database Administrators, Developers, Report Writers and Data Analysts - anyone who needs to extract information from data stored in a relational database. This course, along with the Creating Databases in SQL Server and Advanced SQL Server Database Querying Courses, helps to prepare delegates for the Microsoft exam: Querying Microsoft SQL Server 2012/2014/2016 and exam Querying Data with Transact-SQL (M20761), which credits towards MCSA and MCSE certifications. It should be noted, however, that all course attendances should be complemented by reference to the skills measured by the exam, a period of self-study and test exams before sitting the actual exam. Covers SQL Server 2005, SQL Server 2008, SQL Server 2012, SQL Server 2014, and SQL Server Pre-requisites: Delegates would benefit from a basic understanding of what a relational database is a familiarity with the terms tables, columns, and relationships, these concepts will be overviewed at the start of the course. Course Content:
2 Relational Database Overview Basic Relational Database Terminology Relational Database Tables and Columns Rows and Records Connecting Tables Primary Keys Foreign Keys Relationship Types The SELECT Statement SELECT list Columns ALL or DISTINCT String Expressions Arithmetic Expressions Column Aliases Comparison Conditions Relational Operators BETWEEN AND IS NULL Example IN Example LIKE Examples Working With Dates NOT Multiple Conditions Mixing AND with OR The TOP Option WITH TIES TOP n PERCENT UNION UNION ALL INTERSECT EXCEPT
3 Functions Functions in SELECT Lists Functions in WHERE Clauses Functions in ORDER BY Clauses Aggregate Functions COUNT SUM MAX MIN AVG NULL Values and Aggregates Aggregate Expressions Mathematical Functions SQUARE POWER SQRT RADIANS, SIN, COS, TAN ABS ROUND CEILING & FLOOR Conversion Functions CAST and CONVERT Converting Dates To Strings Converting Money Values To Strings ISNULL Function
4 String Functions UPPER & LOWER STR LEFT & RIGHT CHARINDEX SUBSTRING REVERSE, REPLACE and SPACE RTRIM & LTRIM REPLICATE Using REPLICATE To Pad Strings ASCII & CHAR Date Functions GETDATE YEAR, MONTH & DAY DATEPART & DATENAME Date Arithmetic DATEADD & DATEDIFF Substitution Functions COALESCE NULLIF CROSS Joins INNER Join Legacy Style Joins ANSI Style Joins Simple Joins Two Tables Three Tables Four Tables INNER JOIN Theory OUTER Joins LEFT JOIN RIGHT JOIN FULL OUTER Join
5 Table Aliases Self Join Advanced Joins Multiple INNER JOINS Multiple OUTER Joins Working With Aggregate Data The GROUP BY Clause Identifying The Group Including Columns In The SELECT List The HAVING Clause When is a HAVING a WHERE? Sub Queries Simple Sub Queries Using Aggregate Functions in Sub queries Sub Queries Returning Multiple Records Correlated Sub-Queries Derived Table Sub-Queries Course Duration: 3 Days
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