Netherlands: Software

Introductie van Micorosoft SQL Server 2016

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98 C H A P T E R 6 | More analytics C H A P T E R 6 More analytics Better and faster analytics capabilities have been built into SQL Server 2016. Enhancements to tabular models provide greater flexibility for the design of models, and an array of new tools helps you develop solutions more quickly and easily. As an option in SQL Server 2016, you can now use SQL Server R Services to build secure, advanced-analytics solutions at enterprise scale. By using R Services, you can explore data and build predictive models by using R functions in-database. You can then deploy these models for production use in applications and reporting tools. Tabular enhancements In general, tabular models are relatively easy to develop in SQL Server Analysis Services. You can build such a solution directly from a wide array of sources in their native state without having to create a set of tables as a star schema in a relational database. You can then see the results of your modeling within the design environment. However, there are some inherent limitations in the scalability and complexity of the solutions you can build. In the latest release of SQL Server, some of these limitations have been removed to better support enterprise requirements. In addition, enhancements to the modeling process make controlling the behavior and content of your model easier. In this section, we review the following enhancements that help you build better analytics solutions in SQL Server 2016: More data sources accessible in DirectQuery mode Choice of using all, some, or no data during modeling in DirectQuery mode Calculated tables Bidirectional cross-filtering Formula bar enhancements New Data Analysis Expressions (DAX) functions Using DAX variables

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