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Developing SQL Queries for SQL Server®:
Hands-On


Course 5344 Days

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Quick Enrol

You Will Learn How To

  • Develop complex and robust SQL queries for SQL Server 2008, 2005 and 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 Course 137, "SQL Server 2008 Comprehensive Introduction," or Course 925, "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

Course 534 Content

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
  • Explicit vs. implicit conversion
  • Performing calculations on dates and times
  • Extracting date and time components
  • Determining date and time format
  • 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 and GROUP BY ALL
  • Applying conditions with HAVING
  • Calculating moving averages

Extending group queries

  • Nesting grouped aggregates
  • Joins and grouping

Building crosstab reports

  • Using CASE to turn rows into columns
  • Applying PIVOT

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

Extending the use of aggregates

  • Partitioning in multiple levels
  • 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 and recursive subqueries
  • Traversing hierarchies

Breaking Down Complex Queries

  • Overcoming SQL limitations
  • Reducing complexity and improving performance
  • Exploring alternatives for decomposing: temporary tables, views, common table expressions

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SQL Server is a registered trademark of Microsoft Corporation.
 
Developing SQL Queries for SQL Server: Hands-On

Training Dates

Live online classroom training. Participate in person or in live, online events (highlighted) via Learning Tree AnyWareTM.
Feb 28 - Mar 2Ottawa enrol
Jul 24 - 27Toronto enrol
Jul 31 - Aug 3Ottawa enrol
Nov 20 - 23Ottawa enrol
Dec 4 - 7Toronto enrol

US Dates

Feb 21 - 24New York enrol
Mar 20 - 23Boston enrol
Apr 2 - 5Rockville, MD enrol
Apr 10 - 13Dallas enrol
Apr 10 - 13New York enrol
Apr 17 - 20Alexandria, VA enrol
Apr 24 - 27Los Angeles enrol
May 1 - 4Reston, VA enrol
May 8 - 11Atlanta enrol

For AnyWare enrolments, please register at least 10 days prior to the start of the course.

More Dates and Locations.

Tuition

$ 3,220Standard Tuition
Tuition with a Savings Plan
$ 2,2952-Course Passport
$ 1,8353-Course Passport
$ 1,7604-Course Passport
$ 2,950Voucher 5-Pack
$ 2,830Government Discount

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Developing SQL Queries for SQL Server: Hands-On

Course participants building correlated subqueries.


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