(<img height='1' width='1' border='0' src="http://www.googleadservices.com/pagead/conversion/1072619999/?value=1&label=Lead&script=0" />)
F1
About F1Course ScheduleOther ServicesSite MapContactHome

Microsoft

SQL Server 2005

Exchange Server
Office (inc Access)
SQL Server
Visual Studio .NET
Windows
Web Development
Visual FoxPro
Programming
Business
Knowledge Management
Certification
Learning Options
Reserve a Place
13 Oct London
20 Oct Bath
10 Nov London
17 Nov Bath
08 Dec London
15 Dec Bath
12 Jan London
19 Jan Bath
09 Feb London
16 Feb Bath
09 Mar London
16 Mar Bath
06 Apr London
20 Apr Bath
04 May London
18 May Bath
08 Jun London
15 Jun Bath
13 Jul London
20 Jul Bath
12 Aug London
19 Aug Bath
View Other Courses in Same Category

Module 1: Measuring Database Performance

  • Importance of Benchmarking
  • Key Measures for Query Performance: Sysmon
  • Key Measures for Query Performance: Profiler
  • Guidelines for Identifying Locking and Blocking
  • Lab: Measuring Database Performance
Skills
  • Describe best practices for measuring performance.
  • Describe the key Sysmon counters for problem identification.
  • Describe the key Profiler trace events for problem identification.
  • Select best methods for identifying which procedures are causing locking and blocking.
  • Review database tables and scripts.
  • Use a script to identify performance and concurrency problems.
  • Capture baseline performance.
  • Prioritize identified problems.
Top

Module 2: Optimizing Physical Database Design

  • Performance Optimization Model
  • Schema Optimization Strategy: Keys
  • Schema Optimization Strategy: Responsible Denormalization
  • Schema Optimization Strategy: Generalization
  • Lab: Optimizing Schemas
Skills
  • Explain the strategy for database optimization presented in the Performance Optimization Model.
  • Explain the importance of schema design in database optimization.
  • Describe the strategic use of natural and surrogate keys and their roles in schema optimization.
  • Describe responsible denormalization and the role of this strategy in schema optimization.
  • Describe generalization and the role of this strategy in schema optimization.
  • Normalize a database schema for optimization.
  • Generalize a database schema for optimization.
  • Denormalize a database schema for optimization.
  • Clean up database schema by verifying and adjusting data types and verifying referential integrity.
  • Convert data to the new schema.
  • Correct table and column names in queries, stored procedures, and triggers to reconcile schema changes.
  • Test for performance.
Top

Module 3: Optimizing Queries for Performance

  • Performance Optimization Model: Queries
  • What Is Query Logical Flow?
  • Considerations for Using Subqueries
  • Guidelines for Building Efficient Queries
  • Lab: Optimizing Queries
Skills
  • Explain the importance of set-based solutions in database optimization.
  • Explain the utility of the query logical flow diagram in query optimization.
  • Discuss considerations when using subqueries in query optimization.
  • Describe strategies for building efficient queries.
  • Rewrite stored procedures for optimization.
  • Rewrite views for optimization.
  • Rewrite non-cursor aggregate queries for optimization.
  • Test queries for performance.
Top

Module 4: Refactoring Cursors into Queries

  • Performance Optimization Model: Query-Set-based solutions
  • Five Steps to Building a Cursor
  • Strategies for Refactoring Cursors
  • Lab: Refactoring Cursors into Queries
Skills
  • Explain the importance of set-based solutions in database optimization.
  • List five steps to building a cursor.
  • Describe strategies for refactoring cursors.
  • Refactor cursors into queries by rebuilding cursor logic as multiple queries, user-defined function, and complex queries with case expression.
  • Test queries for performance.
Top

Module 5: Optimizing an Indexing Strategy

  • Performance Optimization Model: Indexes
  • Considerations for Using Indexes
  • Best Uses of the Clustered Index
  • Best Practices for Non-Clustered Index Design
  • How to Document an Indexing Strategy
  • Lab: Optimizing an Indexing Strategy
Skills
  • Explain the importance of optimizing index strategies in database optimization.
  • Explain considerations for using indexes in database optimization.
  • Describe the best uses of clustered indexes as they relate to optimization.
  • Describe the best practices for designing non-clustered databases.
  • Explain the methodology for using an indexing strategy worksheet.
  • Determine tables that need to be optimized based on slow running code.
  • Design, implement, and adjust clustered and non-clustered indexes.
  • Test for performance.
Top

Module 6: Managing Concurrency

  • Performance Optimization Model: Locking and Blocking
  • Multimedia - "How to Use Efficient Queries to Reduce Locking and Blocking"
  • Strategies to Reduce Locking and Blocking
  • Lab: Reducing Blocking
Skills
  • Explain the importance of concurrency management in database optimization.
  • Explain how efficient queries reduce locking and blocking.
  • List strategies for reducing locking and blocking.
  • Identify code with locking and blocking issues.
  • Tighten and optimize logical transactions in code with concurrency issues.
  • Adjust transaction isolation levels in code with concurrency issues.
  • Test database for performance.
  • Determine percentage gain on database performance from baseline.
Top

Exams:

Price Options ex VAT:

Classroom Training
?		 Distance Learning
?		 eLearning Options
?		 Book Learning
?
£ 1050
(€1513) 		£ 674.00
(€971) 		- No Books Supported for Course at present

Call Free on 0800 169 1890
Print 2 Page Flyer
Last Modified 25 September 2008