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SQL Queries for SQL Server You Will Learn How To Develop complex and robust SQL queries for SQL Server 2005 and SQL Server 2000 Query multiple tables with inner joins, outer joins and self joins Transform data with built-in functions Summarize data using aggregation and grouping Execute analytic functions to calculate ranks Build simple and correlated subqueries   Course Benefits Microsoft's Transact-SQL is the cornerstone of all SQL Server database operations. In this hands-on course, you learn to exploit the full potential of the SELECT statement to write robust queries using the best query method for your application, test your queries, and avoid common errors and pitfalls.   Who Should Attend Those who are developing systems using SQL Server databases, or who are using SQL to extract and analyze data from SQL Server databases. Knowledge of SQL Server at the level of, "SQL Server 2005 Comprehensive Introduction," or , "SQL Programming Language Introduction," is assumed.   Hands-On Training Learn by doing as you use Transact-SQL to solve problems and maximize performance. Instructor-led exercises include: Handling NULL values in expressions and conditions Coding inner and outer joins Implementing self joins Computing aggregate results Adding subtotals and grand totals to aggregate results Employing ranking and analytic functions Reusing subqueries as common table expressions Analyzing query plans and tuning queries   Introduction and Overview SQL fundamentals Retrieving data with SELECT Expressions Literals Handling NULLs properly Executing queries Analyzing query plans Enhancing query performance Testing queries Selecting the best alternatives Avoiding errors and pitfalls Querying Multiple Tables Implementing various types of joins Inner joins Cross joins Left, right and full outer joins Equijoins vs. theta joins The performance implications of joins Adding filter conditions to outer joins Writing self joins Joining a table to itself Chaining self joins Solving time-interval problems Combining queries with set operators UNION UNION ALL INTERSECT EXCEPT Scalar and Aggregate Functions Taking advantage of scalar functions Converting datatypes Handling dates Manipulating strings Choosing the right function for the job Summarizing data with aggregate functions COUNT SUM AVG MIN MAX Managing NULLs Suppressing duplicates Grouping data GROUP BY vs. GROUP BY ALL Applying conditions with HAVING Calculating moving averages Extending group queries Nesting grouped aggregates Joins and grouping Introducing subtotals with CUBE and ROLLUP Building crosstab reports Using CASE to turn rows into columns Applying PIVOT and UNPIVOT Performing Extensive Analysis with Analytic Functions The OVER clause Specifying the ordering before applying the function Splitting the result set into logical partitions Calculating ranks RANK and DENSE_RANK ROW_NUMBER with ordered sets Calculating percentiles Extending the use of aggregates Partitioning in multiple levels Computing running totals Comparing row and aggregate values Building Subqueries Simple subqueries Subqueries in conditions and column expressions Creating multilevel subqueries Avoiding problems when subqueries return NULLs Handling multirow subquery results Correlated subqueries Accessing values from the outer query EXISTS vs. IN Identifying duplicates Avoiding accidental correlation Common table expressions Reusable subqueries Recursive subqueries Traversing hierarchies Breaking Down Complex Queries Overcoming SQL limitations Reducing complexity and improving performance Exploring alternatives for decomposing: tables, views, common table expressions, table-valued functions

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