Operationalize your machine learning project using SQL Server 2016 SSIS and R Services

With the release of CTP3 SQL Server 2016 and its native In-database support for the open source R language (SQL Server R Services), users can now call both R and RevoScaleR functions and scripts directly from within a SQL query and benefit from multi-threaded and multi-core in-DB computations. The R integration brings the utility of…

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Data Preparation for Azure Machine Learning using SSIS

Microsoft Azure Machine Learning enables businesses to perform cloud-based predictive analytics to understand what their data means. Machine learning algorithms learn from data. It is critical that you feed them the right data for the problem you want to solve. Such data can be business transactional data or sensitive business data that is either on-premises…

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Doing more with SQL Server Integration Services Feature Pack for Azure

More and more of businesses are either storing or manipulating some, if not all, of their data in the cloud. We learnt from our customers that they would prefer to leverage their existing on-premises ETL investment while seeking low cost solution to access and integrate data in the cloud. SQL Server Integration Services Feature Pack…

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