Developing SQL Queries for SQL Server: Hands-On

Complete Seminar Details

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

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

Hands-on training

• Handling NULL values in expressions and conditions
• Coding inner and outer joins
• Implementing self joins
• Manipulating character strings
• Computing aggregate results
• Adding subtotals and grand totals to aggregate results
• Building crosstab reports
• Employing ranking and analytic functions
• Writing simple and correlated subqueries
• Embedding subqueries in expressions
• Reusing subqueries as common table expressions
• Manipulating hierarchical data
• Analyzing query plans and tuning queries

Course content

• 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 UNION
• Eliminating duplicate results
• UNION ALL

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
• 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

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