Running SSIS on Azure VM (IaaS) – Do more with less money

Hi all, In the SQL PASS Summit of 2016, I presented a session about “Running SSIS on Azure VM – Do more with less money” and it was well received based on the session feedback. Therefore, I am extracting some key content from my SQL PASS presentation and sharing it on this blog so that more SSIS users can…

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Validate XML with rich error output in the XML Task

  Validate XML documents and get rich error output by enabling the ValidationDetails property of the XML Task. For more info, see Validate XML with the XML Task in the SSIS documentation. SQL Server Integration Services (SSIS) introduced the ValidationDetails property in SQL Server 2012 Service Pack 2 in July of 2014. This new property was…

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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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Error Column Improvements for SSIS Data Flow (Updated for RC2)

Most of the SSIS data flow components allow customers to log the rows with errors to a dedicated error output, which can help customers to investigate and diagnose the root cause of the error. Error output has two 4-byte int columns (ErrorCode and ErrorColumn), which indicate the error code and the id of the error column….

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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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