Expert Cube Development with Microsoft SQL Server 2008 Analysis Services pot

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Expert Cube Development with Microsoft SQL Server 2008 Analysis Services pot

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[...]... 10012 Preface • Microsoft Windows Vista, Microsoft Windows XP • • Microsoft Windows Server 2003 or Microsoft Windows Server 2008 Microsoft SQL Server Analysis Services 2008 • Microsoft SQL Server 2008 (the relational engine) • Microsoft Visual Studio 2008 and BI Development Studio • SQL Server Management Studio • Excel 2007 is an optional bonus as an alternative method of querying the cube We recommend... 10012 Table of Contents Analysis Services memory management Memory differences between 32 bit and 64 bit Controlling the Analysis Services Memory Manager Out of memory conditions in Analysis Services 310 310 311 314 Sharing SQL Server and Analysis Services on the same machine Monitoring processing performance Monitoring processing with trace data 315 317 317 Monitoring Processing with Performance Monitor... 10012 Preface Microsoft SQL Server Analysis Services ( "Analysis Services" from here on) is now ten years old, a mature product proven in thousands of enterprise-level deployments around the world Starting from a point where few people knew it existed and where those that did were often suspicious of it, it has grown to be the most widely deployed OLAP server and one of the keystones of Microsoft' s Business... certainly not going to be designed with Analysis Services cubes in mind Nevertheless, a very common question is: "do we really need to build a dimensionally modeled data mart as the source for an Analysis Services cube? " The answer is a definite "yes"! As we'll see, the structure of a data mart is very different from the structure of an OLTP database and Analysis Services is built to work on data marts,... Analysis Services Moreover, while the simplicity for human understanding is very welcome, the same simplicity helps Analysis Services understand and use star schemas If we use star schemas, Analysis Services will find it easier to recognize the overall structure of our dimensional model and help us in the cube design process On the other hand, snowflakes are harder both for humans and for Analysis Services. .. Monitor counters Monitoring Processing with Dynamic Management Views Monitoring query performance Monitoring queries with trace data Monitoring queries with Performance Monitor counters Monitoring queries with Dynamic Management Views MDX Studio Monitoring usage Monitoring Usage with Trace Data Monitoring usage with Performance Monitor counters Monitoring usage with Dynamic Management Views Activity... developers who work with Analysis Services on a daily basis, who know the basics of building a cube already and who want to gain a deeper practical knowledge of the product and perhaps check that they aren't doing anything badly wrong at the moment It's not a book for absolute beginners and we're going to assume that you understand basic Analysis Services concepts such as what a cube and a dimension... Managing partitions Relational versus Analysis Services partitioning Building a template partition Generating partitions in Integration Services Managing processing Dimension processing Partition processing Lazy Aggregations Processing reference dimensions Handling processing errors Managing processing with Integration Services Push-mode processing Proactive caching Analysis Services data directory maintenance... chapter; the books by Kimball and Inmon we've already cited do a much better job than we ever could Data modeling for Analysis Services If you are reading this book, it means you are using Analysis Services and so you will need to design your data marts with specific features of Analysis Services in mind This does not mean you should completely ignore the basic theory of data warehouse design and dimensional... Most technical books are published to coincide with the release of a new version of a product and so are written using beta software, before the author has had a chance to use the new version in a real project This book, on the other hand, has been written with the benefit of having used Analysis Services 2008 for almost a year and before that Analysis Services 2005 for more than three years Download . ] • Microsoft Windows Vista, Microsoft Windows XP • Microsoft Windows Server 2003 or Microsoft Windows Server 2008 • Microsoft SQL Server Analysis Services. h0" alt="" Expert Cube Development with Microsoft SQL Server 2008 Analysis Services Design and implement fast, scalable, and maintainable cubes Chris

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  • Cover

  • Table of Contents

  • Preface

  • Chapter 1: Designing the Data Warehouse for Analysis Services

    • The source database

      • The OLTP database

      • The data warehouse

      • The data mart

      • Data modeling for Analysis Services

        • Fact tables and dimension tables

        • Star schemas and snowflake schemas

        • Junk dimensions

        • Degenerate dimensions

        • Slowly Changing Dimensions

        • Bridge tables, or factless fact tables

        • Snapshot and transaction fact tables

        • Updating fact and dimension tables

        • Natural and surrogate keys

        • Unknown members, key errors and NULLability

        • Physical database design for Analysis Services

          • Multiple data sources

          • Data types and Analysis Services

          • SQL queries generated during cube processing

            • Dimension processing

            • Dimensions with joined tables

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