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MS55073 - Master Data Services, Data Quality Services with SQL 2012-2014 and Excel (MS55073)

  • Overview
  • Who Should Attend
  • Certifications
  • Prerequisites
  • Objectives
  • Content
  • Schedule
Course Overview

Duration : 3 Days

Studies show that data decays at about 2% a month all organizations need to work from reliable information while ensuring that the integrity of information and consistency of data is constant across different applications. Microsoft SQL Server 2012-2014 Master Data Services is a powerful feature designed to help an organization create a structure and hierarchy for data, so that data collected and used across multiple departments, silos and databases is standardized and aligned. This ensures that different databases are interoperable. When combined with Data Quality Services and Excel a complete end to end system is available.

Who Should Attend

  • This course is intended for SQL Professionals, Business Intelligence Developers, Data Analysts and Data Stewards and Project Managers that need to learn how to utilize Master Data Services.

 

Course Certifications

This course is part of the following Certifications:

Prerequisites

None

Course Objectives

After completing this course, students will be able to:

  • 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.

 

Course Content

Module 1 : Course Overview 

This module explains how the class will be structured and introduces course materials and additonal administrative information 

Lessons

  • Introduction
  • Course Materials 
  • Facilities
  • What we will be discussing

Lab : Course Overview 

After completing this module  , students will be able to :

  • Successfully log into their virtual machine
  • Have a full understanding of what the course intends to cover

 

Module 2 : Master Data Management Concepts 

In this introductory module we will introduce the need for Master Data Management and discuss a number of high order concepts introducing the subject area.

Lessons

  • What is Master Data Mangement ?
  • 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

Lab : Master Data Management Concepts

After completing this module , students will be able to :

  • Have a basic understanding of the concepts behind master data management .

 

Module 3 : Microsoft Master Data Services Overview 

In this module we will examine a master data management project implementation and describe the concept of the different systems involved. We will then move into key objects within MDS that are crticially important for understanding MDS.

Lessons 

  • Projection Implementation
  • Master Data Services Key Terms
  • Master Data Services Web Interface
  • Installing Master Data Services

Lab : Microsoft Master Data Services Overview 

After completing this module , students will be able to :

  • Configure Master Data Services

 

Module 4 : Understanding Data Models

We touched on the basics of the MDS object model already and covered core concepts such as entities , attributes , members and hierachies . In thismodule we will expand on that and take an in-depth look at all the objects in the MDS model . In addition we will examine modelling concepts and deployments.

Lessons

  • Modelling processs
  • MDS project - Model 
  • The Model Object 

Lab : Understanding Data Models

After completing this module , students will be able to :

  • Create models and entitites 
  • Add attributes including domain-based attributes
  • Add a memever via the web interface
  • Reverse a transaction
  • Create and configure attribute groups 
  • Create and configure attribute groups
  • Create and configure derived hierachies
  • Create and configure collections .

 

Module 5 : Importing Data

The objective of this module is to learn how to load data into MDS.

Lessons

  • MDS Entity-Based Staging

Lab : Importing Data

After completing this module , students will be able to :

  • Create a leaf member with T-SQL.
  • Delete a  member with the web interface and examine results in SSMS 
  • View erros in batch files 
  • Load leaf members with SQL Server Server Inytegration Services and flat files.

 

Module 6 : Version Management 

In this module we will learn how to work with versions . The ability to version MDS models enables functionality such as if scenarios, tesing and others .

Lessons

  • Understanding Versions
  • Web interface
  • Version Statuses 
  • Copying a Version
  • Locking , Unlocking and Committing Versions
  • Version Flags
  • Ancestry
  • Validating Versions

Lab : Version Management

After completing this module , students will be able to :

  • Create and configure versions

 

Module 7 : Business Rules

The goal of this module is to gain an understanding of the business rules interface and how to implement business rules into your model . It is important that you know the interface requires some getting used to and is perhaps not the friendliest interface that you have ever used . Pay particular attention to how oftern you need ot save your business rules.

Lessons

  • Business Rules Overview
  • How to Create a Business Rule
  • Conditions and Actions
  • Publish a Business Rule
  • Validation Issues

Lab : Business Rules

After completing this module , students will be able to :

  • Navigate the business rules interface 
  • Create a business rule 
  • Populate a value based on another value
  • Explore and fix validation issues.

 

Module 8 : MDS Security

The gial this module is to gain an understanding of the security in MDS . The security in some ways follows other security paradigms that you may be used to. Such as the concept of read , write and deny permissions. However the concepts such as granting permission to the model object for all groups of users so they can view the model may be foreign to you. You also make sure that you understand that MDS does not control security ; that it is controlled by active directory . It is within active directory that the passwords and usernames are stored along with the user groups.

Lessons 

  • Master Data Services Security Overview
  • User and Groups
  • Administrators 
  • Permission Levels
  • Best Practices

Lab : MDS Security

After completing this module , students will be able to :

  • Set up security in MDS.

 

Module 9 : Publishing Data

The objective of this module is that you understand the tyoes of subscription views that are available .

Lessons

  • Subscription Views
  • Formats
  • How subscribing Systems can Extract Data
  • Creating Views

Lab : Publishing Data

After completing this module , students will be able to :

  • Create anc configure a subscription view.

 

Module  10 : Excel Add-In

The objective of this module is to help you understand the Excel Master Data Services Add-in, which is the best feature that was added with the SQL 2012 release.

Lessons

  • Creating Connections
  • Publishing Data
  • Filtering Data
  • Saving a query
  • Create an entity from Data
  • Settings

Lab : Excel Add-In

After completing this module , students will be able to :

  • Create a connection to an MDS database using Excel
  • Filter data using Excel
  • Save a query to Excel
  • Create an entity from data in Excel 

 

Module 11 : Data Quality Services

The objective of this module is for you to understand Data Quality Services and how to use it in conjuction with with Master Data Services.

Lessons

  • Architectures
  • Data Quality Cleansing
  • Microsoft Data Quality Solution

Lab : Data Quality Services

After completing this module , students will be able to :

  • Create a new knowledge base
  • Create a DQS Quality Cleansing Project

Course ID: MS55073

2 Days Course
SGD 1600.00
 
Singapore

Show Schedule for 1 Month  3 Months  All 
Date Country Location Register
25 Jun 2018 - 26 Jun 2018 Singapore Singapore