Specialist Series: Data Quality and Master Data Services (SQL Server 2014)

Overview

1 Day $1,100

This one-day Microsoft training course will teach students how to validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Lesson 1: Overview of Data Warehousing
  • The Business Problem
  • What is a Data Warehouse?
  • Data Warehouse Architectures
  • Components of a Data Warehousing Solution
  • Data Warehousing Projects
  • Data Warehousing Project Roles
  • SQL Server as a Data Warehousing Platform
Lesson 2: Considerations for a Data Warehouse Solution
  • Data Warehouse Database and Storage
  • Data Sources
  • Extract, Transform, and Load Processes
  • Data Quality and Master Data Management
Lab: Exploring a Data Warehousing Solution

Lesson 1: Introduction to Data Quality
  • What Is Data Quality, and Why Do You Need It?
  • Data Quality Services Overview
  • What Is a Knowledge Base?
  • What Is a Domain?
  • What Is a Reference Data Service?
  • Creating a Knowledge Base
  • Demonstration: Creating a Knowledge Base
Lesson 2: Using Data Quality Services to Cleanse Data
  • Creating a Data Cleansing Project
  • Viewing Cleansed Data
  • Demonstration: Cleansing Data
  • Using the Data Cleansing Data Flow Transformation
Lab A: Cleansing Data
Lesson 3: Using Data Quality Services to Match Data
  • Creating a Matching Policy
  • Creating a Data Matching Project
  • Viewing Data Matching Results
  • Demonstration: Matching Data
Lab B: Deduplicating Data

Lesson 1: Introduction to Master Data Services
  • The Need for Master Data Management
  • What Is Master Data Services?
  • Master Data Services and Data Quality Services
  • Components of Master Data Services
Lesson 2: Implementing a Master Data Services Model
  • What Is a Master Data Services Model?
  • Creating a Model
  • Creating Entities and Attributes
  • Adding and Editing Members
  • Demonstration: Creating a Master Data Services Model
  • Editing a Model in Microsoft Excel
  • Demonstration: Editing a Model in Excel
Lesson 3: Managing Master Data
  • Hierarchies and Collections
  • Creating Derived Hierarchies
  • Creating Explicit Hierarchies
  • Creating Collections
  • Finding Duplicate Members
  • Validating Members with Business Rules
  • Demonstration: Creating and Applying Business Rules
Lesson 4: Creating a Master Data Hub
  • Master Data Hub Architecture
  • Master Data Services Staging Tables
  • Staging and Importing Data
  • Demonstration: Importing Master Data
  • Consuming Master Data with Subscription Views
  • Demonstration: Using Subscription Views
Lab: Implementing Master Data Services

This course is intended for database professionals who need to support a data warehousing solution. Primary responsibilities include:
Before attending this course, students must have:
  • At least 2 years' experience working with relational databases.
  • Some exposure to basic programming constructs (such as looping and branching).
  • An awareness of key business priorities

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