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You Will Learn How To
- Design and implement high-performance databases for SQL Server
- Create indexes that optimise different types of queries
- Design transactions that maximise concurrency and minimise contention
- Interpret the data access plans produced by the query optimiser
- Minimise I/O by designing efficient physical data structures
- Analyse and cure performance problems using SQL Server's tools
Course Benefits High-availability database systems offer timely access to business-critical data. Microsoft SQL Server offers powerful features to maintain these vital systems. In this course, you acquire an in-depth knowledge of SQL Server's core components—the storage engine, lock manager and query optimiser. Through hands-on exercises, you gain the skills to implement a high-performance SQL Server database solution.
Who Should Attend Those responsible for increasing the performance and efficiency of SQL Server databases. Knowledge of SQL at the level of Course 532, " SQL Server Transact-SQL Programming", and a familiarity with logical database design are assumed.
Hands-On Training Hands-on exercises provide experience developing high-performance SQL Server databases. Exercises include:
- Monitoring and analysing performance
- Developing a performance baseline
- Setting up a server-side Profiler trace
- Eliminating extent fragmentation
- Inspecting procedures in the procedure cache
- Creating indexes for different query types
- Improving performance with indexed views
- Implementing partitioning solutions
Course Content Fundamental Concepts
Analysing performance
- Selecting an appropriate monitoring tool
- Investigating plans with SHOWPLAN_ALL
- Interpreting STATISTICS IO output
- Pinpointing performance problems with aggregated Profiler data
Developing a monitoring plan
- Establishing a performance baseline
- Tracking changes over time
- Creating server-side Profiler traces
- Monitoring SQL Server and the operating system with System Monitor
Managing Storage
Database architecture
- Page and extent allocation
- Controlling data placement with file groups
Defining tables
- Selecting the correct data types
- Specifying text and image locations
- Examining internal page structures
Creating and managing indexes
- Clustered vs. nonclustered
- Defining indexed views
- Analysing and repairing fragmentation
Memory and Locking
Managing memory
- Buffer pool
- Buffer manager
- Lazywriter
- Checkpoint
- Log writer
Designing transactions
- Consistency vs. concurrency
- Investigating lock types and their compatibility
- Choosing isolation levels
- Designing transactions to limit lock duration
- Resolving contention problems
- Handling deadlock
- Implementing row versioning
Optimising Queries
Query optimiser architecture
- Phases
- Strategies
- Data access plans
- Auto-parameterisation
- Avoiding recompilation of queries
Maintaining up-to-date statistics
- Index vs. column
- Automatic vs. manual
- Full-scan vs. sample
Distinguishing among query types
- Point
- Multipoint
- Range
- Prefix match
- Extremal
- Ordering
- Grouping
- Join
Designing effective indexes
- Relating indexes to query types
- Providing alternate access paths
- Improving join performance
- Increasing sort efficiency
- Reducing I/O with covering indexes
- Implementing sparse indexes
- Getting design advice from built-in tuning tools
Designing a Physical Data Model
Storing summarised data for faster retrieval
- Defining roll-up tables
- Materialising aggregated data with indexed views
Minimising response time by introducing redundant data
- Maintaining redundant data with triggers
- Enhancing performance with surrogate keys
- Creating a read-only query database
Solving performance problems with partitioning strategies
- Horizontal vs. vertical partitioning
- Partitioning tables
- Defining partitioned views
Managing diverse workloads
- Creating resource pools and workload groups
- Developing a classifier function
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Related Courses
SQL Server is a registered trademark of Microsoft Corporation.
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Course Dates
UK Dates | | 14-18 May | London enrol | | 10-14 Sep | London enrol | | 7-11 Jan | London enrol | US East Coast Dates | | 27 Feb - 2 Mar | New York enrol* | | 19-23 Mar | Washington, DC enrol* | | 30 Apr - 4 May | New York enrol* |
*New York and Washington DC Courses – Available online with a run time of 2pm to 9pm BST. For AnyWare enrolments, please register at least 10 days prior to the start of the course.
More Dates and Locations.
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Participants exploring query optimiser plans.
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81% |
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17% |
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"After I attended my course, I explained to our manager that Learning Tree uses instructors who are actively working in the industry. Then a couple of colleagues took the same course, and they were very impressed as well. The outcome was that we now use Learning Tree. For me—out of all the places I've been—I find they have the best technical training".
– P. Rawson
ING Bank
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