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# # 1 1 1 1 1 1 1 1 8 X1 l1 \ 1 oj 1 1 1 1 1 C C C i i i i i i i $ {m -p J j ! 1 C zC zC @ C C j 1 1 1 1 )j E E E C p 1 1 1 1 i E C i E E n bh i 1 P6 *D j ji i ?j 0 oj i wq D wq @ i wq 1 i $ E C C C j j E C C C oj C C C C wq C C C C C C C C C # / : Specialist Series: Data Quality and Master Data Services (SQL Server 2014)
Duration: 1 dayOverview:
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.
Target Audience:
This course is intended for database professionals who need to support a data warehousing solution. Primary responsibilities include:
Enforcing data integrity by using Master Data Services.
Cleansing data by using Data Quality Services.
Pre-requisites:
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
At Course Completion:
After completing this course, students will be able to:
Implement data cleansing by using Microsoft Data Quality Services.
Implement Master Data Services to enforce data integrity.
Module 1: Introduction to Data Warehousing
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
Module 2: Enforcing Data Quality
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
Module 3: Master Data Services
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
COURSE OUTLINE
IT TRAINING
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