MS-20463 - Implementing a Data Warehouse with Microsoft® SQL Server® 2014

This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft SQL Server 2012 or 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.

Student Testimonials

Instructor did a great job, from experience this subject can be a bit dry to teach but he was able to keep it very engaging and made it much easier to focus. Student
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Instructor was outstanding. Knowledgeable, presented well, and class timing was perfect. Student

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This course requires that you meet the following prerequisites:
  • At least 2 years’ experience of 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.

Detailed Class Syllabus

Module 1: Introduction to Data Warehousing

Overview of Data Warehousing
Considerations for a Data Warehouse Solution

Module 2: Planning Data Warehouse Infrastructure

Considerations for Data Warehouse Infrastructure
Planning Data Warehouse Hardware

Module 3: Designing and Implementing a Data Warehouse

Data Warehouse Design Overview
Designing Dimension Tables
Designing Fact Tables
Physical Design for a Data Warehouse

Module 4: Creating an ETL Solution with SSIS

Introduction to ETL with SSIS
Exploring Data Sources
Implementing Data Flow

Module 5: Implementing Control Flow in an SSIS Package

Introduction to Control Flow
Creating Dynamic Packages
Using Containers
Managing Consistency

Module 6: Debugging and Troubleshooting SSIS Packages

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

Module 7: Implementing an Incremental ETL Process

Introduction to Incremental ETL
Extracting Modified Data
Loading Modified data

Module 8: Enforcing Data Quality

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

Module 9: Using Master Data Services

Master Data Services Concepts
Implementing a Master Data Services Model
Managing Master Data
Creating a Master Data Hub

Module 10: Extending SQL Server Integration Services

Using Scripts in SSIS
Using Custom Components in SSIS

Module 11: Deploying and Configuring SSIS Packages

Overview of SSIS Deployment
Deploying SSIS Projects
Planning SSIS Package Execution

Module 12: Consuming Data in a Data Warehouse

Introduction to Business Intelligence
Introduction to Reporting
An Introduction to Data Analysis