Book Image

What's New in SQL Server 2012

Book Image

What's New in SQL Server 2012

Overview of this book

Microsoft SQL Server has been part of the enterprise database landscape since SQL Server 7 arrived in 1998 and has evolved into the relational and BI platform of choice by businesses around the globe. The performance and full feature set of SQL Server has been widely recognized by the business community and it is viewed as a powerful weapon in their database and business intelligence arsenal. SQL Server brings numerous benefits to all businesses, central to which is a thorough understanding of the technology, both current and new.This is the book both DBAs and developers always wanted to buy but could never find in the bookstore. This is a SQL Server book that contains only the new features introduced in SQL Server 2012.This book will give you a competitive advantage by helping you to quickly learn and understand the new features of SQL Server 2012. Most readers will already have an established knowledge of SQL Server and will want to update their 2008/2008R2 knowledge swiftly with least pain.This book takes you through all of the new features of SQL Server 2012, from installing core database services and features, to the new administration and updated Transact-SQL functions. You will discover the new Analysis Services features, introduce data alerts and reporting features and explore the new enhancements to Integration Services. In addition you will learn how to automate, cleanse and transform critical business data with DQS and world-class enterprise level availability features.Finally, you will venture into simulating real-world database loads using Distributed Replay and complete your journey with a look at the new SQL Server cloud services and the new Hadoop big data platform.
Table of Contents (19 chapters)
What's New in SQL Server 2012
Credits
About the Authors
Acknowledgment
Acknowledgment
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
1
Installing SQL Server 2012
Index

Summary


Data quality, more than ever before, is a pressing issue for organizations. With business intelligence and data mining currently featuring so prominently on the corporate decision-support wish list, data quality underpins useful and accurate decisions.

While we have examined a purposely trivial example here, it serves to illustrate just how powerful DQS can be in an environment with tables that have millions of rows of data and hundreds of tables. With the addition of business procedures and naming conventions, a business data expert can examine the data, create rules to flag data that is invalid, and extract data that is to be changed in order to standardize it across the system.

Once corrections have been identified, the changes to the data can be reviewed to ensure they are correct, and saved as domains in the DQS knowledge base. Finally, the changes can be written out to either a database table or a file. All of this can be done without the ongoing and expensive involvement of...