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2092 Populating a Data Warehouse with Microsoft SQL Server 2000 Data Transformation Services
Introduction



Prerequisites:
Before attending this course, students must have: 

  • Familiarity with Microsoft SQL Server version 7.0 or Microsoft SQL Server 2000
  • Course 832,System Administration for Microsoft SQL Server 7.0, and Course 833,Implementing a Database on Microsoft SQL Server 7.0, or the equivalent Microsoft SQL Server 2000 courses
  • Knowledge of Transact-SQL usage in the development of online transaction processing (OLTP) systems
  • Basic understanding of programming principles (especially experience with a scripting language such as Microsoft Visual Basic Scripting Edition development software)
  • Understanding of basic database design, administration, and implementation concepts

Course Description:
This course provides students with the knowledge and skills necessary to design a data warehouse and to populate data marts by using Data Transformation Services (DTS) in Microsoft SQL Server 2000

Objectives:

  • Understand data warehousing concepts and applications
  • Build relational data marts by using star schemas
  • Develop a data warehouse data load strategy
  • Use the DTS Import/Export Wizard
  • Understand DTS package components
  • Use DTS to copy and manage data
  • Design insert based transformation by using the Transform Data Task
  • Implement a Data Driven Query solution
  • Execute packages and design package security
  • Understand the basics of the DTS Object Model
  • Modify DTS package properties
  • Implement DTS in specific real-world data load scenarios
  • Apply tuning techniques to DTS data loads
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Course Outline

Lesson 1: Using DTS in a Data Warehouse

  • Defining Data Transformation Services
  • Identifying DTS Applications
  • Defining the Data Warehouse System
  • Applying DTS to the Data Warehouse

Lesson 2: Defining Data Warehouse Structures

  • Defining the Polaris Data Warehouse
  • Identifying Source and Destination Structures
  • Defining Dimension Tables
  • Defining Fact Tables
  • Implementing the Star Schema

Lesson 3: Populating Data Warehouse Structures

  • Reviewing the Star Schema Data Load
  • Defining the Dimension Data Load
  • Defining the Fact Table Data Load
  • Implementing Staging Tables
  • Applying Data Transformation Services
  • Using DTS to Populate the Sales Star

Lesson 4: Using the DTS Import/Export Wizard

  • Defining the Import/Export Wizard
  • Copying Objects Between Heterogeneous Databases
  • Copying Tables from Microsoft Access 2000 to SQL Server
  • Creating a Prototype Package
  • Loading the Employee_dim Dimension
  • Loading the Product_dim Dimension

Lesson 5: Understanding DTS Package Elements

  • Learning Package Components
  • Using DTS Package Designer
  • Defining Package Connections
  • Defining Package Tasks
  • Defining Package Steps
  • Storing and Executing Packages
  • Adding a Parallel Data Load to Product_dim

Lesson 6: Copying and Managing Data

  • Identifying DTS Tasks That Copy and Manage Data
  • Using the Bulk Insert Task
  • Loading Staging Tables
  • Using the Execute SQL Task
  • Using the Copy SQL Server Objects Task

Lesson 7: Performing Data Transformations

  • Performing Transformations in DTS
  • Defining the Transform Data Task
  • Setting Up the Source and Destination
  • Creating Transformations
  • Configuring Error Handling
  • Optimizing for SQL Server Destinations

Lesson 8: Extending Transformations

  • Building Microsoft ActiveX Script Transformations
  • Creating Advanced Transformations
  • Using Lookup Queries
  • Implementing SQL Solutions
  • Using the Multiphase Data Pump

Lesson 9: Implementing Data Driven Query Solutions

  • Using the Data Driven Query Task
  • Building a Data Driven Query Task Solution
  • Maintaining Slowly Changing Dimensions
  • Refreshing the New_product_dim Table
  • Learning Best Practices for the DDQ

Lesson 10: Storing DTS Packages and Metadata

  • Understanding Package Versions
  • Storing DTS Packages
  • Securing DTS Packages
  • Storing Metadata
  • Tracking Data Lineage

Lesson 11: Executing Packages

  • Defining Package Executions
  • Executing Packages Interactively
  • Using Package Execution Utilities
  • Creating Package Execution Logs
  • Executing Moduleal Packages
  • Scheduling Packages

Lesson 12: Managing Package Properties

  • Reviewing DTS Package Elements
  • Understanding Disconnected Edit
  • Using the Dynamic Properties Task
  • Managing Connection Properties

Lesson 13: Building Advanced Workflows

  • Implementing Asynchronous Workflows
  • Implementing Package Transactions
  • Creating a Package Loop

Lesson 14: Applying Best Practices

  • Defining the Data Load Scenario
  • Developing Packages
  • Choosing Tasks
  • Designing Transformations
  • Defining Workflows
  • Storing and Executing Packages
  • Managing Packages

Lesson 15: Case Study - Populating the Shipments Star

  • Defining the Shipments Star
  • Populating the Shipments Star
  • Migrating the Shipments Star

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