Source: HTTPS://BLOGS.MSDN.MICROSOFT.COM/AZUREDATALAKE/2017/02/16/BUILDING-ADVANCED-ANALYTICAL-SOLUTIONS-FASTER-USING-DATAIKU-DSS-ON-HDINSIGHT/ The AZURE HDINSIGHT APPLICATION PLATFORM allows users to use applications that span a variety of use cases like data ingestion, data preparation, data processing, building analytical solutions and data visualization. In this post we will see how
Source: https://blogs.technet.microsoft.com/machinelearning/2017/02/09/load-data-from-azure-data-lake-into-azure-sql-data-warehouse-at-3tbhour/ Re-posted from the Azure blog. AZURE SQL DATA WAREHOUSE (Azure SQL DW, or just SQL DW for short) is a SQL-based fully managed, petabyte-scale data warehousing solution in the cloud. It is highly elastic, enabling you to
Source: https://blogs.technet.microsoft.com/machinelearning/2017/01/06/add-intelligence-to-any-sql-app-with-the-power-of-deep-learning/ Re-posted from the SQL Server blog. Recent results and applications involving Deep Learning have proven to be incredibly promising, and across a diverse set of areas too, including speech recognition, language understanding, computer vision and more. Deep
The Microsoft Cognitive Toolkit—previously known as CNTK—empowers you to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms data scientists already use.
This post was authored by Joseph Sirosh, Corporate Vice President of the Microsoft Data Group. For the past two years, we’ve unveiled several of our cutting-edge technologies and innovative solutions at Connect(); which will be livestreaming globally from New York
Source: https://blogs.technet.microsoft.com/dataplatforminsider/2016/08/29/eight-scenarios-with-apache-spark-on-azure-that-will-transform-any-business/ This post was authored by Rimma Nehme, Technical Assistant, Data Group. Since its birth in 2009, and the time it was open sourced in 2010, Apache Spark has grown to become one of the largest open source communities
Following Machine Learning Algorithm selection cheat sheet is put together by Azure ML Team. You can follow the flow chart to select a suitable algorithm for your purpose. You might need to do additional analysis to ensure that the recommended algo is
Source: https://azure.microsoft.com/en-us/blog/diagnostic-logs-streaming-to-event-hubs/ Author: John Kemnetz Microsoft has announced an improved and expanded way to consume Azure Diagnostic Logs: streaming via Event Hubs. Azure Diagnostic Logs are logs emitted by a resource and provide insight into the operation of that resource. The content
Unique datasets created and curated by Microsoft Data Science researchers for several fields of inquiry—ranging from natural language processing to computer vision. Available for download, free of charge, for use in your research. Access the Datasets here.
Azure Stream Analytics now supports output to PowerBI and Azure Data Lake through new Azure ARM Portal. Earlier developers needed to switch to Azure Classic Portal to use these two outputs.