Book Image

Getting Started with SQL Server 2012 Cube Development

Book Image

Getting Started with SQL Server 2012 Cube Development

Overview of this book

Analysis Services have been the number one OLAP engine for years. With the increased focus on business intelligence solutions, there is a shortage of professionals in this area. Start your journey into becoming a BI developer using the popular tools included in every SQL Server installation. Getting Started with SQL Server 2012 Cube Development teaches you through clear step-by-step exercises to create business intelligence solutions using Analysis Services. The knowledge gained through these practical examples can immediately be applied to your real-world problems. Getting Started with SQL Server 2012 Cube Development begins with an introduction to business intelligence and Analysis Services, the world's most-used cube engine. Guiding you through easy-to-understand examples to become a cube developer. Learn how to create a cube including all the advanced features such as KPIs, calculated measures, and time intelligence. Security and performance tuning will also be explored. You will learn how to perform and automate core tasks like deployment and processing. The main focus is on multidimensional cubes, but the creation of in-memory models will also be covered. You will learn everything you need to get started with cube development using SQL Server 2012.
Table of Contents (17 chapters)
Getting Started with SQL Server 2012 Cube Development
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


As you have seen in this chapter, tabular models are really the future of BI. The in-memory world brings a lot of benefits to BI solutions. It is really simple to work with tables and columns; there is no hassle working with aggregations and tuning of models. Instead, you can also use the computing powers of modern servers. On the other hand, you do not have all the functionality that a mature multidimensional model has. In future, the gap between the functionality that exists today will be removed. This means that tabular models will be used more often.

In the next chapter we will cover how Analysis Services fits into the larger architecture of a complete BI solution. A complete solution not only needs to include a semantic model but also end user tools and portal solutions.