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Reza Rad

Microsoft SQL Server 2014 Business Intelligence Development Beginner’s Guide

In DetailTake advantage of the real power behind the BI components of SQL Server 2014, Excel 2013, and SharePoint 2013 with this hands-on book. This book will give you a competitive advantage by helping you to quickly learn how to design and build BI system with Microsoft BI tools.
This book starts with designing a data warehouse with dimensional modeling, and then looks at creating data models based on SSAS multidimensional and Tabular technologies. It will illustrate how to use SSIS for ETL, and MDS and DQS for data governance and data quality. The book is packed with real-world examples that will give you a good understanding of the BI and DW components of SQL Server 2014, Excel 2013, and SharePoint 2013.
ApproachWritten in an easy-to-follow, example-driven format, there are plenty of step-by-step instructions to help get you started! The book has a friendly approach, with the opportunity to learn by experimenting.
Who this book is forIf you are a BI and Data Warehouse developer new to Microsoft Business Intelligence, and looking to get a good understanding of the different components of Microsoft SQL Server for Business Intelligence, this book is for you.
It’s assumed that you will have some experience in databases systems and T-SQL. This book is will give you a good upshot view of each component and scenarios featuring the use of that component in Data Warehousing and Business Intelligence systems.
579 halaman cetak
Tahun publikasi
2014
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Kutipan

  • Khiem Van Nguyenmembuat kutipan7 tahun yang lalu
    Before thinking about the design of the data warehouse, the very first question is what is the goal of designing a data warehouse? What kind of analytical reports would be required as the result of the BI system? The answer to these questions is the first and also the most important step. This step not only clarifies the scope of the work but also provides you with the clue about the Grain.

Di rak buku

  • b1527437651
    MSSQL
    • 6
  • Sergey Vitvitsky
    Programming
    • 8
  • Christel Øvre Nielsen
    SQL
    • 5
  • Khiem Van Nguyen
    Sql
    • 3
  • b4513735684
    BI
    • 1
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