Microsoft Certified IT Professional MCITP: SQL Server 2008 Database Administrator M6158 70-453

Course Title: Updating Your SQL Server 2005 Skills to SQL Server 2008

Course Code: M6158
Version: C
Level: 300
Duration: 3 Days

Course Overview

The Updating Your SQL Server 2005 Skills to SQL Server 2008 M6158 instructor-led training course has been designed to provide candidates with the knowledge and skills to upgrade their SQL Server 2005 skills to SQL Server 2008.

Target Audience

Candidates who should consider attending the M6158 Microsoft training course are experienced SQL Server 2005 developers and database administrators who want to upgrade their skills to SQL Server 2008.

Course Objectives

On successfully completing the M6158 course candidates will be able to:

• Describe the new features of SQL Server 2008
• Manage SQL Server 2008
• Optimize SQL Server 2008
• Secure a SQL Server 2008 Database
• Develop databases with SQL Server 2008
• Create and maintain highly available SQL Server 2008 databases
• Create and use a SQL Server 2008 data warehouse
• Use SQL Server 2008 Reporting Services
• Use SQL Server 2008 Analysis Services

Course Prerequisites

Candidates attending the M6158 Microsoft training course should have experience developing or administering SQL Server 2005 databases.

Testing and Certification

The M6158 Microsoft training course is the recommended preparation for the 70-453 - Upgrade: Transition Your MCITP SQL Server 2005 DBA to MCITP SQL Server 2008 exam.

Course Content

Module 1: Introduction to SQL Server 2008

In this module candidates will learn about the development of SQL Server, how to deploy SQL Server 2008 and how to use SQL Server Books Online.

Lessons:

• The Evolution of SQL Server
• Preparing for SQL Server 2008

Lab: Exploring SQL Server Books Online

• Reviewing the SQL Server Books Online Tutorials
• Reviewing SQL Server Books Online

After completing this module, candidates will be able to:

• Describe the evolution of SQL Server
• Prepare for SQL Server 2008

Module 2: SQL Server 2008 Manageability Enhancements

In this module candidates will learn how to create and use a configuration server and apply a policy.

Lessons:

• Configuration Servers
• Policy-Based Management

Lab: Managing SQL Server 2008

• Creating a Configuration Server
• Creating and Applying a Policy

After completing this module, candidates will be able to:

• Create and use a configuration server
• Create and use policies

Module 3: SQL Server 2008 Performance Enhancements

In this module candidates will learn how to use Resource Governor, Data Collector and Plan Freezing.

Lessons:

• Managing Workloads with Resource Governor
• Monitoring Performance with the Data Collector
• Managing Performance with Plan Freezing

Lab: Optimizing SQL Server 2008

• Using Resource Governor
• Using the Data Collector

After completing this module, candidates will be able to:

• Manage workloads with Resource Governor
• Monitor performance with the Data Collector
• Manage performance with Plan Freezing

Module 4: SQL Server 2008 Security Enhancements

In this module candidates will learn how to encrypt databases and audit actions.

Lessons:

• Encrypting Databases
• Auditing All Actions

Lab: Securing a SQL Server 2008 Database

• Using Transparent Data Encryption

After completing this module, candidates will be able to:

• Encrypt databases
• Audit all actions

Module 5: SQL Server 2008 Database Development Enhancements

In this module candidates will learn about the enhancements to the SQL Server 2008 developer tool, how to deploy the data type enhancements and work with spatial data.

Lessons:

• Developer Tool Enhancements
• Data Type Enhancements
• Working with Spatial Data

Lab: Developing Databases with SQL Server 2008

• Using Date and Time Data Types
• Using Spatial Data

After completing this module, candidates will be able to:

• Describe the developer tool enhancements in SQL Server 2008
• Use the data type enhancements in SQL Server 2008
• Work with spatial data

Module 6: SQL Server 2008 Availability Enhancements

In this module candidates will learn about Always On Technologies and Peer-to-Peer Replication.

Lessons:

• Always On Technologies
• Transactional Peer-to-Peer Replication

Lab: Maintaining High Availability

• Configuring Peer-to-Peer Replication
• Adding a Replication Node

After completing this module, candidates will be able to:

• Describe the SQL Server 2008 always on technologies
• Implement transactional peer-to-peer replication

Module 7: SQL Server 2008 Data Warehousing Enhancements

In this module candidates will learn about the SQL Server 2008 ETL enhancements, how to use partitioned tables and how to optimise data storage.

Lessons:

• ETL Enhancements
• Using Partitioned Tables
• Optimising Data Storage

Lab: Data Warehousing with SQL Server 2008

• Using Change Data Capture
• Using the MERGE Statement
• Working with Partitioned Data

After completing this module, candidates will be able to:

• Describe the ETL enhancements in SQL Server 2008
• Use partitioned tables
• Optimise data storage

Module 8: SQL Server 2008 Reporting Services Enhancements

In this module candidates will learn about the reporting services architecture and management, how to author reports and report processing and rendering.

Lessons:

• Reporting Services Architecture and Management
• Authoring Reports
• Report Processing and Rendering

Lab: Using SQL Server 2008 Reporting Services

• Creating a Report with Report Designer
• Managing Reporting Services

After completing this module, candidates will be able to:

• Describe the Reporting Services architecture and management
• Author reports
• Understand report processing and rendering

Module 9: SQL Server 2008 Analysis Services Enhancements

In this module candidates will learn how to implement multidimensional analysis and data mining.

Lessons:

• Multidimensional Analysis with SQL Server Analysis Services
• Data Mining with SQL Server Analysis Services

Lab: Using SQL Server 2008 Analysis Services

• Implementing Multidimensional Analysis
• Implementing Data Mining

After completing this module, candidates will be able to:

• Implement multidimensional analysis
• Implement data mining