Tabular Modeling with SQL Server 2016 Analysis Services Cookbook

The "Tabular Modeling with SQL Server 2016 Analysis Services Cookbook" is a tailored guide for both newcomers and seasoned professionals in the field of data analysis and business intelligence. The book starts from the basics of setting up your SQL environment and gradually immerses you in the intricacies of tabular modeling. With a hands-on approach, it presents a variety of 'recipes' or step-by-step guides that focus on different aspects of tabular modeling, from basic data importing and processing workflows to complex analytical solutions using DAX (Data Analysis Expressions).

Moving beyond the fundamentals, the book explores advanced topics such as optimization techniques, security practices, and the integration of SSAS with other Microsoft services. Each chapter provides practical insights and real-world examples, ensuring that readers not only grasp theoretical concepts but also can apply them in their day-to-day activities.

• Understand the architecture and components of SQL Server 2016 Analysis Services.
• Gain proficiency in building and managing tabular models.
• Master the use of DAX for creating complex calculations and KPIs.
• Learn to optimize and secure your SSAS solutions for performance and user accessibility.
• Discover integration techniques with other Microsoft ecosystem products.

"Data is at the heart of every successful organization, and your ability to mold it impacts your business acumen."

"Learning to utilize SSAS efficiently is not just about mastering syntax but understanding the power of data at your fingertips."

In the rapidly evolving landscape of data analytics, staying ahead of the curve is crucial. "Tabular Modeling with SQL Server 2016 Analysis Services Cookbook" is crafted to bridge the gap between traditional data analysis approaches and the more agile, efficient methods offered by SSAS. The book’s emphasis on practical application ensures that readers can translate their newfound knowledge into impactful data-driven decisions.

Moreover, the increased focus on business intelligence across industries makes SSAS a critical skill. By equipping yourself with the advanced techniques outlined in this book, you prepare not only to meet today's data challenges but also to adapt as the field continues to grow and change. It is both a teacher and a companion for data professionals aiming to excel in their careers and contribute significantly to their organizations.