Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide

You're reading from   Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide Get to grips with Microsoft Business Intelligence and Data Warehousing technologies using this practical guide

Arrow left icon
Product type Paperback
Published in May 2014
Publisher
ISBN-13 9781849688888
Length 350 pages
Edition Edition
Arrow right icon
Authors (2):
Arrow left icon
Reza Rad Reza Rad
Author Profile Icon Reza Rad
Reza Rad
Abolfazl Radgoudarzi Abolfazl Radgoudarzi
Author Profile Icon Abolfazl Radgoudarzi
Abolfazl Radgoudarzi
Arrow right icon
View More author details
Toc

Table of Contents (19) Chapters Close

Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Data Warehouse Design 2. SQL Server Analysis Services Multidimensional Cube Development FREE CHAPTER 3. Tabular Model Development of SQL Server Analysis Services 4. ETL with Integration Services 5. Master Data Management 6. Data Quality and Data Cleansing 7. Data Mining – Descriptive Models in SSAS 8. Identifying Data Patterns – Predictive Models in SSAS 9. Reporting Services 10. Dashboard Design 11. Power BI 12. Integrating Reports in Applications Index

Data Quality Services


Microsoft's solution for data quality, introduced in SQL Server 2012 and named Data Quality Services (DQS), is a service-based application that works based on knowledge-base-driven data quality. Knowledge-base-driven data quality works with Knowledge Bases that consist of domains. Knowledge Bases will be maintained with the business user named data steward. A data steward is someone who knows the domains of the business and can maintain the best quality Knowledge Base for that business. DQS also comes with a functionality to create data-matching rules and apply these rules on the data. The following diagram shows the Data Quality Services process (sourced from Microsoft):

The Knowledge Base can get data from cloud services such as Windows Azure Marketplace, which is called reference data, or it can be created and maintained by a data steward. The process of knowledge discovery, managing knowledge, correction, and matching is like a cycle, and will enhance the Knowledge...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image