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Home > Courses Certifications > Data Management > Course 2782 Synopsis


2782 - Designing Microsoft SQL Server 2005 Databases

Prerequisites: Before attending this course, students must have:

  • Have experience reading user requirements and business-need documents. For example, development project vision/mission statements or business analysis reports.
  • Have experience reading and drawing business process flow charts.
  • Have experience reading and drawing entity relationship (ER) diagrams.
  • Understand Transact-SQL syntax and programming logic.
  • Be able to design a database to 3NF and know the tradeoffs when backing out of the fully normalized design (denormalization) and designing for performance and business requirements in addition to being familiar with design models, such as Star and Snowflake schemas.
  • Have basic monitoring and troubleshooting skills.
  • Have basic knowledge of the operating system and platform. That is, how the operating system integrates with the database, what the platform or operating system can do, and how interaction between the operating system and the database works.
  • Have basic knowledge of application architecture. That is, how applications can be designed in three layers, what applications can do, how interaction between the application and the database works, and how the interaction between the database and the platform or operating system works.
  • Know how to use a data modeling tool.
  • Be familiar with SQL Server 2005 features, tools, and technologies.
  • Have a Microsoft Certified Technology Specialist: Microsoft SQL Server 2005 credential, or equivalent experience.

Duration: 2 days

 

Module 1: Steps to Designing Databases for SQL Server 2005

  • Steps to Designing Stable Databases
  • Find a Plan and Stick To It
  • Know the Core Scope
  • Seek Knowledge
  • Create a Contract
  • Consider History..
  • Upgrade and Integrate
  • A Picture Is Worth…
  • ORM
  • ER
  • UML
  • Decision Making

Module 2: Logical Levels of Modeling

  • Move from Conceptual to Logical
  • Focus On Real World Dependencies
  • Primary Key: Substitutes or Real Attributes
  • Move Toward Logical ER
  • Model Theorys Functional Dependencies
  • Why Normalize?
  • Normalize How?
  • OLAP Designs
  • Creating the Fact Table
  • Creating Dimensions
  • Refactor a Logical Model

Module 3: Physical Levels of Modeling

  • Physical Levels of Modeling
  • Naming Conventions for Identifiers
  • Additional Naming Conventions for Identifiers
  • RDMS Specific Data Type Decisions
  • CLR Thoughts
  • XML Thoughts
  • How to Store – Character Type vs. New XML Type
  • Computed Columns Thoughts
  • Thoughts on Column Constraints
  • Thoughts on Table Constraints
  • New Data Definition Triggers
  • “Who Are You? What Do You Want?”
  • Protect the Data
  • Audits
  • Configuration Settings
  • Improve I/O Performance
  • Database Options
  • Sample Your Design
  • Extract-Transform-Load

Module 4: Performance Considerations to Make During Design

  • Clustered Index Thoughts
  • Non-Clustered Index Thoughts
  • Thoughts on XML Data Indexes
  • Thoughts on Computed Column Indexing
  • Why Use Views
  • Thoughts on Indexed Views
  • Benefit with Partition Tables
  • Thoughts on Summary Tables
  • You Might Denormalize Now
  • Thoughts on Snapshot Isolation
  • Tempdb Does a Lot of Work
  • Validate Database Solution

Module 5: Data Access Designs

  • SQL 2005 Provides Great Granularity of Permissions
  • Define Access Policies
  • User Defined Functions
  • Special User Defined Functions Thoughts
  • New User Defined Aggregates
  • Stored Procedures

Module 6: Dependencies Count In Designs

  • Dependencies Count In Designs
  • If You Must Cross-DB…
  • Old School Procedures
  • Reach Out To COM
  • Reach Beyond the Instance
  • Spread Data Around
  • High Availability

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