10777: Implementing a Data Warehouse with Microsoft SQL Server 2012 Training

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The training provides the proper knowledge to the candidate that allows them to validate data with SQL Server Data Quality Services and SQL Server Master Data Services. This course lays emphasis on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. The training provides the skills required to Implement data cleansing by using Microsoft Data Quality Services and Implement Master Data Services to enforce data integrity.

At the end of this training, the candidate will be able to do the following:

  • Describe data warehouse concepts and architecture considerations.
  • Design and implement a data warehouse.
  • Select an appropriate hardware platform for a data warehouse.
  • Implement Data Flow and Control Flow in an SSIS Package.
  • Debug and Troubleshoot SSIS packages.
  • Implement an SSIS solution that supports incremental data warehouse loads and changing data.
Target audience
  • Business intelligence professionals
  • Database developers
  • SQL Server database administrators
  • System engineers
  • Database professionals who are involved in installation, configuration, and maintenance tasks
Prerequisites

To attend this training, the student should know how to write T-SQL Queries for Microsoft SQL Server 2012.

1. Introduction to Data Warehousing

  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution

2. Data Warehouse Hardware

  • Considerations for Building a Data Warehouse
  • Data Warehouse Reference Architectures and Appliances

3. Designing and Implementing a Data Warehouse

  • Logical Design for a Data Warehouse
  • Physical Design for a Data Warehouse

4. Creating an ETL Solution with SSIS

  • Introduction to ETL with SSIS
  • Exploring Source Data
  • Implementing Data Flow

5. Implementing Control Flow in an SSIS Package

  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing Consistency

6. Debugging and Troubleshooting SSIS Packages

  • Debugging an SSIS Package
  • Logging SSIS Package Events             
  • Handling Errors in an SSIS Package

7.  Implementing an Incremental ETL Process

  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Loading Modified Data

8. Incorporating Data from the Cloud into a Data Warehouse

  • Overview of Cloud Data Sources
  • SQL Server Database
  • The Windows Azure Marketplace

9. Enforcing Data Quality

  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match Data

10. Using Master Data Services

  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Using the Master Data Services Add-in for Excel

11. Extending SQL Server Integration Services

  • Using Custom Components in SSIS
  • Using Scripts in SSIS

12. Deploying and Configuring SSIS Packages

  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution

13. Consuming Data in a Data Warehouse

  • Introduction to Business Intelligence
  • Introduction to Reporting
  • Introduction to Data Analysis

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