PACKAGE INCLUDES:

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COURSE DESCRIPTION

• MCITP (Microsoft Certified IT Professional): Designing and Optimizing Data Access by Using Microsoft SQL Server 2005

• MCITP: Database Developer SQL Server 2005

COURSE OUTLINE

SQL Server 2005 - Designing & Optimizing Data Access (70-442) Training Course Curriculum:

Designing Microsoft SQL Server 2005 Server-Side Solutions

Module 1 - Selecting SQL Server Services to Support Business Needs
Overview of the Built-in SQL Server Services
Evaluating When to Use the New SQL Server Services
Evaluating the Use of Database Engine Enhancements

Module 2 - Designing a Security Strategy
Overview of Authentication Modes and Authorization Strategies
Designing a Security Strategy for Components of a SQL Server  2005 Solution
Designing Objects to Manage Application Access
Creating an Auditing Strategy
Managing Multiple Development Teams Using the SQL Server 2005 Security Features

Module 3 - Designing a Data Modeling Strategy
Defining Standards for Storing XML Data in a Solution
Designing a Database Solution Schema
Designing a Scale-Out Strategy

Module 4 - Designing a Transaction Strategy for a SQL Server 2005 Solution
Defining Data Behavior Requirements
Defining Isolation Levels
Designing a Resilient Transaction Strategy

Module 5 - Designing a Notification Services Solution
Defining Event Data
Designing a Subscription Strategy
Designing a Notification Strategy
Designing a Notification Delivery Strategy

Module 6 - Designing a Service Broker Solution
Designing a Service Broker Solution Architecture
Designing Service Broker Data Flow
Designing Service Broker Solution Availability

Module 7 - Planning for Source Control, Unit Testing, and Deployment
Designing a Source Control Strategy
Designing a Unit Test Plan
Creating a Performance Baseline and Benchmarking Strategy
Designing a Deployment Strategy

Module 8 - Evaluating Advanced Query and XML Techniques
Evaluating Common Table Expressions
Evaluating Pivot Queries
Evaluating Ranking Queries
Overview of XQuery
Overview of Strategies for Converting Data Between XML and Relational Formats

 
Maintaining a Microsoft SQL Server 2005 Database

Designing the Data Tier for a Microsoft SQL Server 2005

Module 1 - Choosing Data Access Technologies and an Object Model
Introduction to Data Access Technologies
Choosing Technologies for Accessing Data
Building a Data Access Layer
Designing Data Access from SQL Common Language Runtime (CLR) Objects
Available Data Object Models for Administering SQL Server

Module 2 - Designing an Exception Handling Strategy
Exception Types and Their Purposes
Detecting Exceptions
Managing Exceptions

Module 3 - Choosing a Cursor Strategy
Common Scenarios for Row-Based vs. Set-Based Operations
Selecting Appropriate Server-Side Cursors
Selecting Appropriate Client-Side Cursors

Module 4 - Designing Query Strategies Using Multiple Active Result Sets
Introduction to MARS
Designing Query Strategies for Multiple Reads
Designing Query Strategies for Mixing Reads and Writes in the Same Connection
Concurrency Considerations When Using MARS

Module 5 - Designing Caching Strategies for Database Applications
Why Caching Is Important
Data and Query Caching in SQL Server 2005
Using Caching Technologies Outside of SQL Server
Custom Caching Techniques

Module 6 - Designing a Scalable Data Tier for Database Applications
Identifying the Need to Scale
Scaling Database Applications to Avoid Concurrency Contention
Scaling SQL Server Database Systems
Scaling Database Applications Using a Service-Oriented Architecture
Improving Availability and Scalability by Scaling Out Front-End Systems


Tuning and Optimizing Queries using Microsoft SQL Server 2005

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

Module 2 - Optimizing Physical Database Design
Performance Optimization Model
Schema Optimization Strategy: Keys
Schema Optimization Strategy: Responsible Denormalization
Schema Optimization Strategy: Generalization

Module 3 - Optimizing Queries for Performance
Performance Optimization Model: Queries
What Is Query Logical Flow?
Considerations for Using Subqueries

Module 4 - Refactoring Cursors into Queries
Performance Optimization Model: Query-Set-based solutions
Five Steps to Building a Cursor
Strategies for Refactoring Cursors

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

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