COURSE: Data Quality and Master Data Management with SQL Server
Data Quality Services, Master Data Services, and other SQL Server tools for data quality. Dealing with data quality issues is one of the most complex tasks in IT business.
Learn how to raise and maintain data quality with SQL Server tools.
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COURSE DELIVERY OPTIONS
will take place in a classroom with no more than 20 students in order to maintain a good level of interactivity.
Instructor-led training in class, with maximum number of attendees 12, 16 training hours spread in 2 days.
Attendees should understand relational databases and have a working knowledge with SQL Server.
This course contains about 60% theory and demos explained by the Trainer. About 40% of the time attendees perform practical exercise. After every module the group discuss the results of the lab to make sure that the concept and the practical scenarios are well understood.
Who is this course designed for?
- Data stewards
- BI application developers
- Advanced administrators
Every attendee gets a .PDF printout of all slides and detailed lab instructions. In addition, attendees are welcome to copy the demo and lab solutions for further reference.
To evaluate the knowledge of the attendees we developed 40 different questions. The questions can be split into two halves to assess the knowledge before and after the training.
Our instructors have faced in previous real case projects, the same problems you are facing now. Learn from experience professionals.
Interaction and Q&A
In all of our trainings, you will have the chance to ask individual questions and be capable of solving certain issues.
Data is the key asset of any organization. Companies want to gather information from the data, so they start business intelligence (BI) projects. However, most of the BI projects also have to deal with data quality problems. Data quality can represent a tremendous obstacle to the success of any BI project. Line of business (LOB) applications will certainly suffer from poor data quality as well.
Every company has some data that is used everywhere, in every process, in every transaction, such as customer or product data. This type of data is referred to as master data. People in charge of managing master data are usually referred to as data stewards. The processes and activities required to maintain master data is collectively referred to as master data management (MDM). In this course, you are going to learn about typical MDM problems and solutions. You will also become familiar with Microsoft tools for data quality and MDM, including Data Quality Services (DQS) and Master Data Services (MDS).
“The instructor has an incredible amount of knowledge and gives a very polished presentation”
Module 01: Introduction to Data Quality and Master Data Management
Lab 01: Checking for Data Quality Issues and Defining Master Data
Module 02: Installing and Mantaining Data Quality Services
Lab 02: Installing and Administering DQS
Module 03: Installing and Implementing Master Data Services
Lab 03: Installing MDS and Creating and Populating an MDS Model
Module 04: Managing Master Data with MDS
Lab 04: Importing and Exporting Data, Managing Security, and Using the MDS Add-in for Excel
Module 05: Data Cleansing with DQS
Lab 05: Creating a DQS Knowledge Base and Project and Using the DQS Cleansing Transformation
Module 06: Data Profiling with SQL Server Tools
Lab 06: Using the Linear Regression and Regression Trees algorithms
Module 07: Identity Mapping and De-Duplicating
Lab 07: DQS Matching and the SSIS Fuzzy Lookup Transformation
Module 08: Data Quality and Master Data Management with Excel
Lab 08: DQS Matching and Data Profiling with PowerPivot