Master Data Services, Data Quality Services with SQL 2012-2014 and Excel (MCC-55073)


Course Number: MCC-55073

Duration: 3 days (19.5 hours)

Format: Live, hands-on

SQL Server Training Overview

This Microsoft training class, Master Data Services, Data Quality Services with SQL 2012-2014 and Excel, teaches students how to ensure that data is standardized and aligned with the proper structure and hierarchy across multiple departments, silos and databases. Attendees learn how to use Data Quality Services and Excel to a complete an end to end system.

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

  • Have a basic understanding of the concepts behind master data management.
  • Configure Master Data Services.
  • Create models and entities.
  • Add attributes including domain-based attributes.
  • Add a member via the web interface.
  • Reverse a transaction.
  • Create and configure attribute groups.
  • Create and configure derived hierarchies.
  • Create and configure collections.
  • Create a leaf member with T-SQL.
  • Delete a member with the web interface and examine results in SSMS.
  • View errors in batch files.
  • Load leaf members with SQL Server Integration Services and flat files.
  • Create and configure versions.
  • Navigate the business rules interface.
  • Create a business rule.
  • Populate a value based on another value.
  • Explore and fix validation issues.
  • Set up security in MDS.
  • Create and configure a subscription view.
  • Create a connection to an MDS database using Excel.
  • Publish data to an MDS database using Excel.
  • Filter data using Excel.
  • Save a query to Excel.
  • Create an entity from data in Excel.
  • Create a new knowledge base.
  • Create a DQS Quality Cleansing Project.

Prerequisites

There are no prerequisites for this MOC course.

Outline

Expand All | Collapse All

Introduction
Master Data Management Concepts
  • What is Master Data Management?
  • The Need for Master Data Management
  • Data Quality
  • Master Data vs. Transactional Data
  • Master Data Management Team
  • Master Data Management Architectures
  • The MDM Extract-Transform-Load
Microsoft Master Data Services Overview
  • Project Implementation
  • Master Data Services Key Terms
  • Master Data Services Web Interface
  • Installing Master Data Services
Understanding Data Models
  • Modeling Process
  • MDS Object - Model
  • The Model Object
Importing Data
  • MDS Entity-Based Staging
Version Management
  • Understanding Versions
  • Web Interface
  • Version Statuses
  • Copying a Version
  • Unlocking and Committing Versions
  • Version Flags
  • Ancestry
  • Validating Versions
Business Rules
  • Business Rules Overview
  • How to Create a Business Rule
  • Conditions and Actions
  • Publish a Business Rule
  • Validation Issues
MDS Security
  • Master Data Services Security Overview
  • Users and Groups
  • Administrators
  • Permission Levels
  • Best Practices
Publishing Data
  • Subscription Views
  • Formats
  • How Subscribing Systems Can Extract Data
  • Creating Views
Excel Add-In
  • Creating Connections
  • Publishing Data
  • Filtering Data
  • Saving a Query
  • Create an Entity From Data
  • Settings
Data Quality Services
  • Architecture
  • Data Quality Cleansing
  • Microsoft Data Quality Solution
Conclusion

Training Materials:

All students receive a course workbook.

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 Microsoft Edge, 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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