\u003cp\u003e\u003cb\u003eIf you prefer the instructional approach to a lot of theory, this cookbook is for you. It takes you straight into building data cubes through hands-on recipes, helping you get to grips with SQL Server Analysis Services fast.\u003c/b\u003e\u003c/p\u003e\u003ch4\u003eKey Features\u003c/h4\u003e\u003cul\u003e\u003cli\u003eDevelop Business Intelligence solutions using a multi-dimensional model as well as a tabular model\u003c/li\u003e\u003cli\u003eExplore cube maintenance with partitions and design effective aggregations, as well as analyzing options for scaling analytics solutions\u003c/li\u003e\u003cli\u003eIncludes recipes for administering, securing, monitoring, and troubleshooting Analysis Services solutions\u003c/li\u003e\u003c/ul\u003e\u003ch4\u003eBook Description\u003c/h4\u003eMicrosoft SQL Server is a relational database management system. As a database, it is a software product whose primary function is to store and retrieve data as requested by other software applications. SQL Server Analysis Services adds OLAP and data mining capabilities for SQL Server databases. OLAP (online analytical processing) is a technique for analyzing business data for effective business intelligence.\n\nThis practical guide teaches you how to build business intelligence solutions using Microsoftâs core product â SQL Server Analysis Services. The book covers the traditional multi-dimensional model which has been around for over a decade as well as the tabular model introduced with SQL Server 2012.\n\nStarting with comparing MultiDimensional and tabular models â discussing the values and limitations of each, you will then cover the essential techniques for building dimensions and cubes. Following on from this, you will be introduced to more advanced topics, such as designing partitions and aggregations, implementing security, and synchronizing databases for solutions serving many users.\n\nThe book also covers administrative material, such as database backups, server configuration options, and monitoring and tuning performance. We also provide a primer on MultiDimensional eXpressions (MDX) as well as Data Analysis expressions (DAX) languages.\n\nThis book provides you with data cube development techniques, and also the ongoing monitoring and tuning for Analysis Services.\u003ch4\u003eWhat you will learn\u003c/h4\u003e\u003cul\u003e\u003cli\u003eDesign commonly encountered dimensions\u003c/li\u003e\u003cli\u003eExtend your cubes to include advanced features such as actions, translations, and key performance indicators \u003c/li\u003e\u003cli\u003eMaintain cubes by adding/removing data using partitions \u003c/li\u003e\u003cli\u003eAdminister Analysis Services instance\u003c/li\u003e\u003cli\u003eScale out your solution by synchronizing cube data\u003c/li\u003e\u003cli\u003eBuild tabular model solutions\u003c/li\u003e\u003c/ul\u003e\u003ch4\u003eWho this book is for\u003c/h4\u003eIf you are a BI or ETL developer using SQL Server Analysis services to build OLAP cubes, this book is ideal for you. Prior knowledge of relational databases and experience with Excel as well as SQL development is required.
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