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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
- Summarise data using aggregation and grouping
- Execute analytic functions to calculate ranks
- Build simple and correlated subqueries
Course BenefitsMicrosoft'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 AttendThose who are developing systems using SQL Server databases, or who are using SQL to extract and analyse 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 TrainingLearn by doing as you use Transact-SQL to solve problems and maximise 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
- Analysing query plans and tuning queries
Course ContentIntroduction and Overview
SQL fundamentals
- Retrieving data with SELECT
- Expressions
- Literals
- Handling NULLs properly
Executing queries
- Analysing 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
Summarising 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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<< Back to SQL Server
SQL Server is a registered trademark of Microsoft Corporation.
Learning Tree AnyWareTM is a trademark of Learning Tree International, Inc. in the United States and other countries, and is covered by a patent application pending in the United States.
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Course Dates
 | Most events below can be taken in-class or live, online from your home or office with AnyWare. |
| 9 - 12 Oct | Stockholm enrol | UK Dates | | 19 - 22 Jun | London enrol | | 28 - 31 Aug | London enrol | | 6 - 9 Nov | London enrol | | 15 - 18 Jan | London enrol | | 26 - 29 Mar | London enrol | US Dates | | 12 - 15 Jun | New York enrol | | 24 - 27 Jul | New York enrol | | 31 Jul - 3 Aug | Washington, DC enrol | | 14 - 17 Aug | Washington, DC enrol | | 28 - 31 Aug | Washington, DC enrol | | 4 - 7 Sep | New York enrol |
For AnyWare enrollments, please register at least 7 days prior to the start of the course.
More Dates and Locations.
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On-Site &
Custom Training
Bring this or any Learning Tree course to your location or have it customized for your organization.
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Kursdeltagarnas genomsnittsbedömning
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De senaste 12 månadernas bedömningar |
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5 stjärnor:
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76 % |
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22 % |
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1 % |
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1 stjärna:
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"Jag valde AnyWare för att slippa resa och vara ifrån familjen. Jag tycker att det varit en kanonbra utbildningsform. Läraren försökte helt klart få med mig i undervisningen och det gillade jag. All information jag fått har varit toppen och jag rekommenderar alla varmt att utnyttja denna utbildningsform om de vill slippa resa." |
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