Key Data Product #: Course #: 6158C Number of Days: 3 Format: Certification Exams: Instructor-Led None This course syllabus should be used to determine whether the course is appropriate for the students, based on their current skills and technical training needs. Course content, prices, and availability are subject to change without notice. Course Syllabus Updating Your Microsoft SQL Server 2005 Skills to SQL Server Elements of this syllabus are subject to change. This three-day instructor-led course provides students with the knowledge and skills to update their skills in the Microsoft SQL Server 2005 data management software to SQL Server. Audience This course is intended for developers and database administrators who are experienced with using SQL Server 2005 and want to update their skills to SQL Server. At Course Completion After completing this course, students will be able to: Describe the new features of SQL Server. Manage SQL Server. Optimize SQL Server. Secure a SQL Server database. Develop databases by using SQL Server. Create and maintain highly available SQL Server databases. Create and use a SQL Server data warehouse. Use SQL Server Reporting Services. Use SQL Server Analysis Services. Prerequisites Before attending this course, students must have experience with developing or administering databases in SQL Server 2005. Comment [Lin1]: Product number needs adding by MSL. For a referral to Microsoft Certified Partners for Learning Solutions (CPLSs) in your area, see the Microsoft Learning Web site at http://www.microsoft.com/learning/default.mspx. Call your local CPLS for more information and to register for classes.
Module 1: An Introduction to SQL Server This module describes the background to SQL Server and the range of business scenarios that the various editions of SQL Server support. It also describes how to prepare your existing environment for a new installation or upgrade to SQL Server. The Evolution of SQL Server Preparing for SQL Server Lab: Reviewing the SQL Server Installation Center and SQL Server Books Online Exploring the SQL Server Installation Center Reviewing Tutorials in SQL Server Books Online Reviewing Topics in SQL Server Books Online Describe the evolution of SQL Server. Prepare their computers and environments for SQL Server. Module 2: SQL Server Manageability Enhancements This module explains how to create a Central Management Server to centralize the management of the servers in an organization. It also explains how to create, apply, and test policies to simplify the management of SQL Server instances. Central Management Servers Policy-Based Management Lab: Managing SQL Server Creating a Central Management Server Creating and Applying a Policy Create and use Central Management Servers. Use policy-based management. Module 3: SQL Server Performance Enhancements This module explains how to manage workloads by using Resource Governor, how to monitor performance by using the Data Collector, and how to manage performance by using plan guides. Managing Workloads by Using Resource Governor Monitoring Performance by Using the Data Collector Managing Performance by Using Plan Guides Lab: Optimizing SQL Server Using Resource Governor Using the Data Collector
Manage SQL Server workloads. Use the Data Collector. Use plan guides. Module 4: SQL Server Security Enhancements This module describes the new features that SQL Server provides for database encryption and SQL Server Audit. Encrypting Databases SQL Server Audit Lab: Securing and Auditing a SQL Server Database Using Transparent Data Encryption Implementing Auditing by Using Transact-SQL Encrypt databases. Configure SQL Server Audit. Module 5: SQL Server Database Development Enhancements This module explains about the new features of SQL Server that relate to database development. Enhancements to Transact-SQL and SQL Server Management Studio Data Type Enhancements Working with Spatial Data Lab: Developing Databases with SQL Server Using Date and Time Data Types Using Spatial Data Use the new features in Transact-SQL and SQL Server Management Studio. Use the new data types. Work with spatial data.
Module 6: SQL Server Availability Enhancements This module describes the availability enhancements that SQL Server provides, including several of the Always On Technologies and transactional peer-to-peer replication. Always On Technologies Transactional Peer-to-Peer Replication Lab: Maintaining High Availability Configuring Peer-to-Peer Replication Adding a Replication Node Describe the key Always On technologies. Implement peer-to-peer replication. Module 7: SQL Server Data Warehousing Enhancements This module explains the key enhancements to extract, load, and transform (ETL) operations that SQL Server provides. It also explains how to work with partitioned tables and how to optimize data storage in your SQL Server databases. ETL Enhancements Partitioning Enhancements Optimizing Storage Lab: Data Warehousing with SQL Server Using Change Data Capture Using the MERGE Statement Working with Partitioned Data Compressing Data Use change data capture and the MERGE statement. Partition databases. Use data and backup compression.
Module 8: SQL Server Reporting Services Enhancements This module explains the enhancements that SQL Server provides to Reporting Services. It describes the changes in the architecture and management; Report Builder, Report Designer, and new report types; and changes to the processing and rendering systems. Reporting Services Architecture and Management Authoring Reports Report Processing and Rendering Lab: Using SQL Server Reporting Services Creating a Report Managing Reporting Services Describe the architecture and management tools for Reporting Services. Author reports. Describe the reporting processing and rendering processes. Module 9: SQL Server Analysis Services Enhancements This module describes the new and updated features in SQL Server for data analysis and data mining. Multidimensional Analysis with SQL Server Analysis Services Data Mining with SQL Server Analysis Services Lab: Using SQL Server Analysis Services Implementing Multidimensional Analysis Implementing Data Mining by Using the Microsoft Decision Trees Algorithm Implementing Data Mining by Using the Microsoft Time Series Algorithm Using the Data Mining Add-ins for Office 2007 Perform multidimensional analysis. Perform data-mining tasks. Microsoft Corporation. All rights reserved. Some elements of this course syllabus are subject to change. This syllabus is for informational purposes only. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY. Microsoft, <Enter, in alphabetical order, the names of all products that are mentioned in the syllabus and that are listed in mstm.doc.>are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. Other product and company names mentioned herein may be the trademarks of their respective owners.