As explained in the introduction to Processing objects section in this chapter, processing reads data from the relational sources and stores it in Analysis Services. What gets stored is defined through storage modes. There are three main storage modes in Analysis Services and these are Multidimensional OLAP (MOLAP), Relational OLAP (ROLAP), and Hybrid OLAP (HOLAP).
Getting Started with SQL Server 2012 Cube Development
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
Free Chapter
Self-service Business Intelligence, Creating Value from Data
Installing SSAS and Preparing for Cube Development
Creating Your First Multidimensional Cube
Deploying and Processing Cubes
Querying Your Cube
Adding Functionality to Your Cube
Securing Your Cube Project
Using Aggregations to Performance Optimize a Cube
In-memory, the Future
Cubes in the Larger Context
Index
Customer Reviews