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Developing High-Performance SQL Server Databases: Hands-On

Fee:

$3,190

· QuickCode:

QQBTLW

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Provider:
Learning Tree International

Topic(s):
Computers & Software > Data Base

Who Should Attend?
Those responsible for increasing the performance and efficiency of SQL Server databases. Course 532, "SQL Server 2000 Transact-SQL Programming," or Course 133, "SQL Server 2005 Server-Side Programming," is assumed.

Full Seminar Description

You will learn how to

• Design and implement high-performance databases for SQL Server 2005 and 2000
• Create indexes that optimize different types of queries
• Design transactions that maximize concurrency and minimize contention
• Interpret the data access plans produced by the query optimizer
• Minimize I/O by designing efficient physical data structures
• Improve response time by introducing controlled redundancy
• Analyze and cure performance problems using SQL Server's tools

Course benefits

This course provides the details of SQL Server's internal architecture. Through hands-on exercises, you gain the skills needed to achieve a high-performance SQL Server database solution.

Who should attend

Hands-on training

• Monitoring and analyzing performance
• Developing a performance baseline
• Setting up a server-side Profiler trace
• Placing data on separate physical devices
• Eliminating extent fragmentation
• Inspecting procedures in the procedure cache
• Defining transactions that maximize concurrency and consistency
• Avoiding deadlock on lock conversion
• Analyzing query optimizer plans
• Creating indexes for different query types
• Improving performance with indexed views
• Implementing partitioning solutions
• Managing redundant data with triggers

Course content

• Analyzing performance
• Selecting an appropriate monitoring tool
• Investigating plans with SHOWPLAN_ALL
• Interpreting STATISTICS 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. non-clustered
• Defining indexed views
• Analyzing and repairing fragmentation

MEMORY AND LOCKING

• Managing memory
• Buffer pool
• Buffer manager
• Lazywriter
• Checkpointing
• Log writer
• Designing transactions
• Consistency vs. concurrency
• Investigating lock types and their compatibility
• Choosing isolation levels
• Designing transactions to limit lock duration
• Supporting optimistic concurrency

OPTIMIZING QUERIES

• Query optimizer architecture
• Phases
• Strategies
• Data access plans
• Auto-parameterization
• Avoiding continuous recompilation of dynamic 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
• Providing alternate access paths
• Improving join performance
• Increasing sort efficiency
• Reducing I/O with covering indexes
• Getting design advice from built-in tuning tools

DESIGNING A PHYSICAL DATA MODEL

• Storing summarized data for faster retrieval
• Defining roll-up tables
• Materializing aggregated data with indexed views
• Minimizing response time by introducing redundant data
• Maintaining redundant data with triggers
• Enhancing performance with surrogate keys
• Solving performance problems by redefining the database structure
• Partitioning data
• Creating a read-only query database
• Scaling out with distributed partitioned views
• Designing a federated database
• Implementing a routing strategy for updates

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