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Tabular Modeling in Microsoft SQL Server Analysis Services (Developer Reference)
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Tabular Modeling in Microsoft SQL Server Analysis Services will be indispensable for everyone moving to Analysis Services Tabular.
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What Stands Out
Product Details
- Covers all the essential information for creating complete BI solutions with the Tabular approach in SQL Server Analysis Services 2016
- Written by renowned experts Marco Russo and Alberto Ferrari
- Provides step-by-step guidance on creating powerful data models and exploring advanced features such as optimization, deployment, and scalability
- Ideal for those transitioning to Analysis Services Tabular, regardless of their previous experience with tabular-style models or older Analysis Services offerings
- Essential follow-up for readers of the authors' highly-praised Microsoft SQL Server 2012 Analysis Services: The BISM Tabular Model
| Publisher | Microsoft Press |
| Publication date | April 12, 2017 |
| Edition | 2nd |
| Language | English |
| Print length | 512 pages |
| ISBN-10 | 9781509302772 |
| ISBN-13 | 978-1509302772 |
| Item Weight | 1.85 pounds (840 grams) |
| Dimensions | 7.4 x 1.16 x 8.9 inches (18.8 x 2.9 x 22.6 cm) |
| Part of series | Developer Reference |
Who Should Buy?
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Data Analysts
Data analysts seeking to enhance their skills in tabular modeling and improve data analysis capabilities within SQL Server.
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Business Intelligence Developers
BI developers looking for comprehensive guidance on creating and managing tabular models using SQL Server Analysis Services.
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Database Administrators
DBAs who need to implement and maintain tabular models in enterprise environments efficiently and effectively.
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Beginner Users
Individuals new to database management may find the content complex without prior knowledge in SQL or data modeling.
Product Description
Tabular Modeling in Microsoft SQL Server Analysis Services (Developer Reference)
About This Item
Introducing "Tabular Modeling in Microsoft SQL Server Analysis Services (Developer Reference)" - the ultimate handbook for mastering tabular data modeling and unleashing the power of Microsoft SQL Server Analysis Services. Developed by Microsoft, this comprehensive guide provides in-depth knowledge and practical insights into tabular modeling, making it an indispensable resource for developers, data analysts, and business intelligence professionals. Whether you're just getting started or already familiar with SQL Server Analysis Services, this book has something to offer for everyone. With this book, you'll learn the essential concepts and techniques of tabular modeling, enabling you to design and build efficient and scalable tabular data models. Dive into the world of business intelligence and data analysis as you explore topics such as dimensional modeling, data warehousing, and database development. Discover how to effectively use MDX language for querying and manipulating data in your tabular models.
Unleash the full potential of your data with Power BI and enhance your decision-making with data visualization techniques. Design cubes and dimensions that accurately represent your business requirements and gain valuable insights through OLAP analysis. Written by experts in the field, "Tabular Modeling in Microsoft SQL Server Analysis Services (Developer Reference)" provides step-by-step instructions, real-world examples, and best practices to ensure you get the most out of SQL Server Analysis Services. So, whether you're a beginner or an experienced professional, this book will equip you with the knowledge and skills you need to become a master of tabular modeling. Don't miss out on this opportunity to advance your career and unlock the full potential of SQL Server Analysis Services.
Order your copy today and take your data analysis to the next level.
Customer Questions & Answers
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Question:
Who are the authors of this book?
Answer: The book is authored by Marco Russo and Alberto Ferrari, experts in Microsoft data modeling. -
Question:
Is this book suitable for beginners?
Answer: Yes, the book is designed to be accessible for everyone, regardless of their previous experience. -
Question:
What topics does the book cover?
Answer: The book covers creating BI solutions, advanced features like optimization, deployment, and scalability in Tabular modeling.
SQL Server Editorial Review
The book "Tabular Modeling in Microsoft SQL Server Analysis Services" is highly praised by readers for its detailed and comprehensive content. It provides thorough explanations of tabular models and covers important topics such as the differences between multidimensional and tabular models. Readers appreciate the attention to detail in areas where there is limited documentation available, such as TMSL and optimizing tabular models. The book is particularly recommended for intermediate BI developers who want to maximize their use of SSAS tabular. A reviewer found the book extremely helpful for quickly learning tabular SSAS for a work project and meeting a deadline. Chapters 2 and 3 were particularly key in providing a comprehensive understanding of how tabular models work. However, one reader encountered a problem with their copy, as some pages were missing between 264 and 297. Despite this, they still enjoyed the book up to that point. Overall, the book is praised as being well-written and a great resource for getting started with tabular modeling in Microsoft SQL Server Analysis Services.
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Pros
- Detailed and comprehensive content
- Covers important topics and differences between multidimensional and tabular models
- Attention to detail in areas with limited documentation
- Helpful for quickly learning tabular SSAS
Cons
- Some copies may have missing pages
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Features & Benefits
- Learn from world-renowned experts in Microsoft data modeling.
- Step-by-step guidance to create powerful BI solutions.
- Covers advanced features like optimization, deployment, and scalability.
- Ideal for both beginners and experienced users transitioning to Tabular.
- Essential for readers of the authors' previous works.
- Stay ahead with the latest updates in SQL Server Analysis Services.
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