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Training Kit (Exam 70-463): Implementing a Data Warehouse with Microsoft SQL Server 2012
     

Training Kit (Exam 70-463): Implementing a Data Warehouse with Microsoft SQL Server 2012

by Dejan Sarka, Matija Lah, Grega Jerkic
 

Ace your preparation for Microsoft Certification Exam 70-463 with this 2-in-1 Training Kit from Microsoft Press. Work at your own pace through a series of lessons and practical exercises, and then assess your skills with online practice tests—featuring multiple, customizable testing options.

Maximize your performance on the exam by learning how to:

Overview

Ace your preparation for Microsoft Certification Exam 70-463 with this 2-in-1 Training Kit from Microsoft Press. Work at your own pace through a series of lessons and practical exercises, and then assess your skills with online practice tests—featuring multiple, customizable testing options.

Maximize your performance on the exam by learning how to:

  • Design and implement a data warehouse
  • Develop and enhance SQL Server Integration Services packages
  • Manage and maintain SQL Server Integration Services packages
  • Build data quality solutions
  • Implement custom code in SQL Server Integration Services packages

For customers who purchase an ebook version of this title, instructions for downloading the CD files can be found in the ebook.

Product Details

ISBN-13:
9780735666092
Publisher:
Microsoft Press
Publication date:
12/24/2012
Series:
Microsoft Press Training Kit Series
Pages:
848
Sales rank:
457,908
Product dimensions:
7.30(w) x 8.90(h) x 1.80(d)

Meet the Author

Dejan Sarka is a mentor with SolidQ and focuses on development of database and business intelligence applications. He is a frequent speaker at international conferences such as TechEd, SqlDevCon, and PASS. He is the founder of the Slovenian SQL Server and .NET Users Group. As main author or coauthor, Dejan has written nine books about SQL Server. He has also developed three courses for SolidQ: Data Modeling Essentials, Data Quality and Master Data Management, and Data Mining.

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