Implementing a Data Warehouse with Microsoft SQL Server (MOC-20463)


Course Number: MOC-20463

Duration: 5 days (32.5 hours)

Format: Live, hands-on

SSIS Training Overview

This Microsoft Certified Training course, Implementing a Data Warehouse with Microsoft SQL Server (20463), teaches students to implement a data warehouse platform to support a BI solution. Attendees learn how to create a data warehouse with Microsoft SQL Server 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some courses are available as live, online classes for individuals. See a schedule of online courses.

Objectives

  • Describe data warehouse concepts and architecture considerations.
  • Select an appropriate hardware platform for a data warehouse.
  • Design and implement a data warehouse.
  • Implement Data Flow in an SSIS Package.
  • Implement Control Flow in an SSIS Package.
  • Debug and Troubleshoot SSIS packages.
  • Implement an ETL solution that supports incremental data extraction.
  • Implement an ETL solution that supports incremental data loading.
  • Implement data cleansing by using Microsoft Data Quality Services.
  • Implement Master Data Services to enforce data integrity.
  • Extend SSIS with custom scripts and components.
  • Deploy and Configure SSIS packages.
  • Describe how BI solutions can consume data from the data warehouse.

Prerequisites

All students should have at least two years of experience working with relational databases, including:

  • Designing a normalized database.
  • Creating tables and relationships.
  • Querying with Transact-SQL.
  • Some exposure to basic programming constructs (such as looping and branching).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.

Outline

Expand All | Collapse All

Introduction to Data Warehousing
  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution
Planning Data Warehouse Infrastructure
  • Considerations for Data Warehouse Infrastructure
  • Planning Data Warehouse Hardware
Designing and Implementing a Data Warehouse
  • Data Warehouse Design Overview
  • Designing Dimension Tables
  • Designing Fact Tables
  • Physical Design for a Data Warehouse
Creating an ETL Solution with SSIS
  • Introduction to ETL with SSIS
  • Exploring Data Sources
  • Implementing Data Flow
Implementing Control Flow in an SSIS Package
  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing Consistency
Debugging and Troubleshooting SSIS Packages
  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in an SSIS Package
Implementing a Data Extraction Solution
  • Planning Data Extraction
  • Extracting Modified Data
Loading Data into a Data Warehouse
  • Planning Data Loads
  • Using SSIS for Incremental Loads
  • Using Transact-SQL Loading Techniques
Enforcing Data Quality
  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Cleanse Data
Master Data Services
  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub
Extending SQL Server Integration Services
  • Using Scripts in SSIS
  • Using Custom Components in SSIS
Deploying and Configuring SSIS Packages
  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution
Consuming Data in a Data Warehouse
  • Introduction to Business Intelligence
  • Enterprise Business Intelligence
  • Self-Service BI and Big Data
Conclusion

Training Materials:

All MOC 20463 students receive Microsoft official courseware.

Software Requirements:

Attendees will not need to install any software on their computer for this class. The class will be conducted in a remote environment that Accelebrate will provide; students will only need a local computer with a web browser with a stable Internet connection. Any recent version of Internet Explorer, Mozilla Firefox, or Google Chrome will be fine.

When you contact us about purchasing this class, we will provide a live demo of the online lab environment so that you may explore the web browser interface in more detail.



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